Posts tagged by #5G

Está preparado para o futuro das #redes? #WiFi6? #5G?⠀
O mundo das conexões sem fio está prestes a dar um passo adiante, e nesta segunda-feira 29/04 descubra quais os novos desafios e como estamos reinventando as soluções de rede.⠀
Inscreva-se gratuitamente neste evento online, acesse o link para o registro em nosso story 'Redes', no destaque desta página.
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Está preparado para o futuro das #redes? #WiFi6? #5G?⠀
O mundo das conexões sem fio está prestes a dar um passo adiante, e nesta segunda-feira 29/04 descubra quais os novos desafios e como estamos reinventando as soluções de rede.⠀
Inscreva-se gratuitamente neste evento online, acesse o link para o registro em nosso story 'Redes& #039;, no destaque desta página.
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#repost @uplus5ggil
・・・ 나보아언니보러갈래
#오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
▶댓글로 이벤트 소문내면 추첨 50명 커피도 드림드림!
@친구야, 조보아씨 만나러 같이 가쥬?
⠀⠀⠀
#엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
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#repost @uplus5ggil
・・・ 나보아언니보러갈래
#오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
▶댓글로 이벤트 소문내면 추첨 50명 커피도 드림드림!
친구야, 조보아씨 만나러 같이 가쥬?
⠀⠀⠀
#엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
지난주 목요일에 받은 s10 5g
사은품은 화요일 도착😊

컨디션이 계속 안좋아서 개통을 못했다.
오늘 큰 맘 먹고 대리점에 갔더니 지점으로 가야한다고😱

내일 다시 도전ㅋㅋㅋ

#삼성 #갤럭시s10 #갤럭시s105g #s105g #핸드폰 #모바일폰 #5g #5g폰 #5g핸드폰 #신상 #신상폰 #갤럭시 #s10 #마제스틱블랙 #크라운실버 #갤럭시버즈 #쇼핑 #핸드폰대리점 #일상 #좋아요 #데일리 #samsung #galaxy #galaxys10 #galaxys105g #shopping #daily #phone
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지난주 목요일에 받은 s10 5g
사은품은 화요일 도착😊

컨디션이 계속 안좋아서 개통을 못했다.
오늘 큰 맘 먹고 대리점에 갔더니 지점으로 가야한다고😱

내일 다시 도전ㅋㅋㅋ

#삼성 #갤럭시s10 #갤럭시s105g #s105g #핸드폰 #모바일폰 #5g #5g폰 #5g핸드폰 #신상 #신상폰 #갤럭시 #s10 #마제스틱블랙 #크라운실버 #갤럭시버즈 #쇼핑 #핸드폰대리점 #일상 #좋아요 #데일리 #samsung #galaxy #galaxys10 #galaxys105g #shopping #daily #phone
Oppo ha presentato la sua nuova linea di smartphone Reno per il mercato europeo: Oppo Reno, Oppo Reno Zoom 10X e Oppo Reno 5G. I nuovi top di gamma della casa cinese si presentano con caratteristiche in grado di fare la differenza nella fascia di mercato in cui andranno a inserirsi: design borderless, supporto 5G, comparto fotografico di alta qualità, fotocamera anteriore a scomparsa e hardware di ultima generazione.

Tutti i dettagli nel mio articolo su @tomshardwareitalia 
Link in bio ⬆️⬆️⬆️⬆️
.
.
@oppomobileit #oppo #opporeno #reno #zoom10x #5g #snapdragon #qualcomm #popupcamera #smartphone #smartphonephotography #borderless #opporeno5g #opporenozoom
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Oppo ha presentato la sua nuova linea di smartphone Reno per il mercato europeo: Oppo Reno, Oppo Reno Zoom 10X e Oppo Reno 5G. I nuovi top di gamma della casa cinese si presentano con caratteristiche in grado di fare la differenza nella fascia di mercato in cui andranno a inserirsi: design borderless, supporto 5G, comparto fotografico di alta qualità, fotocamera anteriore a scomparsa e hardware di ultima generazione.

Tutti i dettagli nel mio articolo su @tomshardwareitalia
Link in bio ⬆️⬆️⬆️⬆️
.
.
@oppomobileit #oppo #opporeno #reno #zoom10x #5g #snapdragon #qualcomm #popupcamera #smartphone #smartphonephotography #borderless #opporeno5g #opporenozoom
#Repost from @uplus5ggil. #오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
▶댓글로 이벤트 소문내면 추첨 50명 커피도 드림드림!
@친구야, 조보아씨 만나러 같이 가쥬?
⠀⠀⠀
#조보아 #엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
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#Repost from @uplus5ggil. #오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
▶댓글로 이벤트 소문내면 추첨 50명 커피도 드림드림!
친구야, 조보아씨 만나러 같이 가쥬?
⠀⠀⠀
#조보아 #엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
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Real reviews from satisfied and supportive customers. We appreciate you! 
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Real reviews from satisfied and supportive customers. We appreciate you!
If you are looking for unlimited plans at unbeatable rates then
MAKE THE SWITCH TODAY!
Give us a call at 1800-223-5435 or please visit us at www.figgers.com for more information.
Advertisement
Приветствуем участников и посетителей Российской недели высоких технологий 2019!
📡Выставка Связь - 2019 демонстрирует передовые технологии отрасли: решения для сетей передачи данных, телекоммуникационное, серверное и сетевое оборудование, кабели связи, электропитающие установки, центры обработки данных, интеллектуальные платформы, IOT и многое другое.
💼🤝Приглашаем Вас посетить наш стенд 23D35 / павильон 2 / зал 3 для демонстрации образцов и обсуждения. Мы с радостью ответим на все  вопросы! 
#Сканти#Scanti#выставка#Связь_2019#Российская_неделя_высоких_технологий#5G#умный_город#навигационные_технологии#IOT#искуственный_интеллект#smart_device#Экспоцентр
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Приветствуем участников и посетителей Российской недели высоких технологий 2019!
📡Выставка Связь - 2019 демонстрирует передовые технологии отрасли: решения для сетей передачи данных, телекоммуникационное, серверное и сетевое оборудование, кабели связи, электропитающие установки, центры обработки данных, интеллектуальные платформы, IOT и многое другое.
💼🤝Приглашаем Вас посетить наш стенд 23D35 / павильон 2 / зал 3 для демонстрации образцов и обсуждения. Мы с радостью ответим на все вопросы!
#Сканти #Scanti #выставка #Связь_2019 #Российская_неделя_высоких_технологий #5G #умный_город #навигационные_технологии #IOT #искуственный_интеллект #smart_device #Экспоцентр
금융시장 트렌드
#투자세미나
부지점장님 늦은시간까지 감사합니다🙏
-
알고 하면 투자
모르고하면 투기

고객님 주식이 오른다 좋다
좋은 펀드가 있다 하고 투자하십니다.

아니요 모르고 하시는겁니다
투자가 어뜩해 해야되는지 아셔야합니다.

우리같이 안전하게 투자해요😊
-
-
제대로 설명 듣고 하셨나요?
나를 관리해주는 FC는 
펀드변경을 자주해주나요?
-
-
관리를 못받으시면 제가 도와드릴게요😊

𝙁𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡 𝘾𝙤𝙣𝙨𝙪𝙡𝙩𝙖𝙣𝙩
재무설계사란? 
신뢰와 경험을 바탕으로 고객의 재정 상담을 통해,

보장자산,투자자산,노후자산,수입, 지출 
관리를 통한 목적자금 형성을 도와주는 전문 재정 컨설턴트로서 고객의 미래를 같이 만들며 풍요롭게 만드는 사람입니다. -. -
-
✔️자세한상담원하시면 누구보다 진솔하게 답변드리겠습니다.
오렌지라이프 한남사업단 성장지점 김선경FC
👩🏻 💻상담&입사문의 오픈채팅or다이렉트
10 2
금융시장 트렌드
#투자세미나
부지점장님 늦은시간까지 감사합니다🙏
-
알고 하면 투자
모르고하면 투기

고객님 주식이 오른다 좋다
좋은 펀드가 있다 하고 투자하십니다.

아니요 모르고 하시는겁니다
투자가 어뜩해 해야되는지 아셔야합니다.

우리같이 안전하게 투자해요😊
-
-
제대로 설명 듣고 하셨나요?
나를 관리해주는 FC는
펀드변경을 자주해주나요?
-
-
관리를 못받으시면 제가 도와드릴게요😊

𝙁𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡 𝘾𝙤𝙣𝙨𝙪𝙡𝙩𝙖𝙣𝙩
재무설계사란?
신뢰와 경험을 바탕으로 고객의 재정 상담을 통해,

보장자산,투자자산,노후자산,수입, 지출
관리를 통한 목적자금 형성을 도와주는 전문 재정 컨설턴트로서 고객의 미래를 같이 만들며 풍요롭게 만드는 사람입니다. -. -
-
✔️자세한상담원하시면 누구보다 진솔하게 답변드리겠습니다.
오렌지라이프 한남사업단 성장지점 김선경FC
👩🏻 💻상담&입사문의 오픈채팅or다이렉트
요즘 되는일이 없다 😂😂
기분전환으로 쇼핑 + 야구장
LG 대승!!!!!!!!!!아직 총알한발
남음 이지를 더 살까 나이키를 
살까 행복한 고민👏👏
8 4
요즘 되는일이 없다 😂😂
기분전환으로 쇼핑 + 야구장
LG 대승!!!!!!!!!!아직 총알한발
남음 이지를 더 살까 나이키를
살까 행복한 고민👏👏
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 7
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
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The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 7
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 8
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
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The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 8
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 9
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
6 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 9
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
5 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
5 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
4 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
5 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
The growth of the Internet of Things (IoT) has meant that more and more customers are becoming hyperconnected across multiple devices that can range from desktop to laptops, mobiles and smart devices people use on a daily basis: wearables like Fitbit, the Apple Watch, car navigation and entertainment, and even home appliances.
The world is literally an Internet of People making up an Internet of Everything, with machine-to-machine, people-to-people, and people-to-machine connectivity. The number of internet-connected devices first outnumbered the human population in 2008, and they have been growing much faster than humans.
Unfortunately with societies interactions with technology, the more problems emerge from texting while driving, not to mention less damaging problems like workplace slacking by employees goofing off on their smartphones.
There were about 10 billion internet-connected devices in 2013 and, according to Cisco, and there will be 50 billion in 2020, including PCs, smartphones, tablets, smart TVs, chips, sensors, implants, wearable devices, connected cars and devices which have not yet been thought of. Cisco estimates the value of the Internet of Everything at $14.4 trillion over the 10-year period from 2013-2024.
Optimistically, a hyperconnected society could spur economic growth, and improve the quality of life for the majority – but remember, a third of the world doesn’t have electricity. Could it lead to new digital divides, where only those wealthy enough will be able benefit?
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
“Maybe dial down the 5G hype and...”
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 말 한 마리가 초원에서 풀을 뜯고 있었다. 그런데 갑자기 사슴 한 마리가 나타나 초원을 쑥대밭으로 만들고 달아났다. 화가 난 말은 자신의 영역을 침범한 사슴에게 복수를 다짐했고, 마침 그곳을 지나가던 사람에게 자신을 도와줄 수 있냐고 물었다. 그랬더니 그는 이렇게 답했다. “내가 창을 구해올 테니, 네 위에 올라탈 수 있게 해주겠니? 그러면 사슴을 찾아 다치게 해 너의 노여움을 풀어주마.” 결과는 어떻게 됐을까? 사슴에게 복수하는 데는 성공했지만, 말은 평생 자신 위에 그 사람을 태우고 다녀야만 했다.
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 위 우화는 기원전 6세기 그리스 서정시인 스테코로스가 시칠리아 섬의 시민들에게 했던 연설의 일부이다. 그가 전하는 메시지는 간단하다. “이기겠다는, 복수하겠다는 의욕에 불타서 어리석은행동을 범하지 말 것.” 지나친 승부욕과 오기에 기인한 경거망동은 사회, 문화, 정치 등 인간이 함께 하는 곳이라면 어디서든 볼 수 있는 일이다. 그리고 최근엔 새로운  분야에서 오기에 불타는 말이 나타났다. 바로 최고의 기술력을 가르는 “5G”다. -

지난 3일 국내 유명 이동통신 3사는 갤럭시 S10 5G 스마트폰을 개통했다고 ‘기습’ 발표했다. 미국 이동통신 1위 업체인 Verizon은 이보다 2시간 뒤인 4일 오전 1시 ‘세계 최초 5G 상용화를 선언했다. 양 국은 각각 5일과 11일 ‘5G 상용화’ 서비스를 시작할 계획이었으나, 업계 동향 보고로 서로의 움직임을 감지한 후 각각 3일과 4일로 발표를 앞당겼다. 아무튼 단 두 시간 차이로 “세계 최초 5세대통신”라는 타이틀을 따냈으니, 다소 성급한 입 소문과 애매한 자격 부여에도 불구하고 대한민국은 한 건 해냈다. 눈에 거슬리던 사슴을 처치하고 ‘독보적 5G 리더 국가’ 라는 영역을 지켜낸 것이다. -

하지만 아직 머리 속엔 우화의 장면들이 아른거린다. 사슴에게 보복했음을 기뻐했던 말의 의기양양한 표정, 그러나 곧 사나이를 평생 짊어져야 함을 깨닫고 흘리는 통탄의 눈물. 역사적으로 무언가를 독차지하고자 욕심을 부렸던 이들의 결말은 어땠는가? IT 강국이라 불리는 한국 역시 한번쯤은 안장 위를 올려다 보아야 한다. “세계 최초” 5세대 이동통신 선언이라는 초원을 얻는 데 성공하긴 했지만, 실질적인 상용화를 이뤄내기에는 부족한 점이 많은 게 사실이다. 이동통신 1위 사업자인 SK 텔레콤이 발표한 5G 요금제는 5만원 이상의 중고가 요금을 내야만 사용할 수 있고, 5G를 사용할 수 있는 ‘지역’ 역시 서울, 수도권과 일부 광역시를 중심으로 이루어져 있기 때문에 5G 스마트폰을 보유하고 있다고 해도 대한민국 대다수 지역에서는 LTE와 3G를 이용할 수 밖에 없는 것이 현실이다. 5G 서비스를 하겠다고 밝힌 지역도 아직 기지국 수가 적어 ‘음역 지역’ (전파가 도달하지 않아 통신에 문제가 생기는 것’)으로 분류될 가능성이 높고, 중국 동종업체 화웨이에서 발생한 보안 이슈의 위험 역시 대한민국 5G의 미래를 뿌옇게 만든다.  아직 갈 길이 멀다.
-
 최고층 빌딩, 초고속 인터넷, 최다 보급률, 최초 발표... 대한민국에게 최고와 최초라는 타이틀은 아픈 역사를 가진 분단국가에서 세계 기술 강국으로 거듭나기까지의 피나는 노력을 대변해주는 자랑스런 메달임에 분명하다. 그래서 더 집착할 수 밖에 없다. 하지만 지금은 겉보다 내실을 다질 때다. 뿌리가 건강해야 잎파리가 산다. 과육이 건강해야 때깔도 산다. -

#5g #학교과제로 #끄적여본글 #내실에더신경써야할때 #글스타그램 #에세이스타그램 #그래도 #대한민국이최고 #작문스타그램
33 6
“Maybe dial down the 5G hype and...”
-
말 한 마리가 초원에서 풀을 뜯고 있었다. 그런데 갑자기 사슴 한 마리가 나타나 초원을 쑥대밭으로 만들고 달아났다. 화가 난 말은 자신의 영역을 침범한 사슴에게 복수를 다짐했고, 마침 그곳을 지나가던 사람에게 자신을 도와줄 수 있냐고 물었다. 그랬더니 그는 이렇게 답했다. “내가 창을 구해올 테니, 네 위에 올라탈 수 있게 해주겠니? 그러면 사슴을 찾아 다치게 해 너의 노여움을 풀어주마.” 결과는 어떻게 됐을까? 사슴에게 복수하는 데는 성공했지만, 말은 평생 자신 위에 그 사람을 태우고 다녀야만 했다.
-
위 우화는 기원전 6세기 그리스 서정시인 스테코로스가 시칠리아 섬의 시민들에게 했던 연설의 일부이다. 그가 전하는 메시지는 간단하다. “이기겠다는, 복수하겠다는 의욕에 불타서 어리석은행동을 범하지 말 것.” 지나친 승부욕과 오기에 기인한 경거망동은 사회, 문화, 정치 등 인간이 함께 하는 곳이라면 어디서든 볼 수 있는 일이다. 그리고 최근엔 새로운 분야에서 오기에 불타는 말이 나타났다. 바로 최고의 기술력을 가르는 “5G”다. -

지난 3일 국내 유명 이동통신 3사는 갤럭시 S10 5G 스마트폰을 개통했다고 ‘기습’ 발표했다. 미국 이동통신 1위 업체인 Verizon은 이보다 2시간 뒤인 4일 오전 1시 ‘세계 최초 5G 상용화를 선언했다. 양 국은 각각 5일과 11일 ‘5G 상용화’ 서비스를 시작할 계획이었으나, 업계 동향 보고로 서로의 움직임을 감지한 후 각각 3일과 4일로 발표를 앞당겼다. 아무튼 단 두 시간 차이로 “세계 최초 5세대통신”라는 타이틀을 따냈으니, 다소 성급한 입 소문과 애매한 자격 부여에도 불구하고 대한민국은 한 건 해냈다. 눈에 거슬리던 사슴을 처치하고 ‘독보적 5G 리더 국가’ 라는 영역을 지켜낸 것이다. -

하지만 아직 머리 속엔 우화의 장면들이 아른거린다. 사슴에게 보복했음을 기뻐했던 말의 의기양양한 표정, 그러나 곧 사나이를 평생 짊어져야 함을 깨닫고 흘리는 통탄의 눈물. 역사적으로 무언가를 독차지하고자 욕심을 부렸던 이들의 결말은 어땠는가? IT 강국이라 불리는 한국 역시 한번쯤은 안장 위를 올려다 보아야 한다. “세계 최초” 5세대 이동통신 선언이라는 초원을 얻는 데 성공하긴 했지만, 실질적인 상용화를 이뤄내기에는 부족한 점이 많은 게 사실이다. 이동통신 1위 사업자인 SK 텔레콤이 발표한 5G 요금제는 5만원 이상의 중고가 요금을 내야만 사용할 수 있고, 5G를 사용할 수 있는 ‘지역’ 역시 서울, 수도권과 일부 광역시를 중심으로 이루어져 있기 때문에 5G 스마트폰을 보유하고 있다고 해도 대한민국 대다수 지역에서는 LTE와 3G를 이용할 수 밖에 없는 것이 현실이다. 5G 서비스를 하겠다고 밝힌 지역도 아직 기지국 수가 적어 ‘음역 지역’ (전파가 도달하지 않아 통신에 문제가 생기는 것’)으로 분류될 가능성이 높고, 중국 동종업체 화웨이에서 발생한 보안 이슈의 위험 역시 대한민국 5G의 미래를 뿌옇게 만든다. 아직 갈 길이 멀다.
-
최고층 빌딩, 초고속 인터넷, 최다 보급률, 최초 발표... 대한민국에게 최고와 최초라는 타이틀은 아픈 역사를 가진 분단국가에서 세계 기술 강국으로 거듭나기까지의 피나는 노력을 대변해주는 자랑스런 메달임에 분명하다. 그래서 더 집착할 수 밖에 없다. 하지만 지금은 겉보다 내실을 다질 때다. 뿌리가 건강해야 잎파리가 산다. 과육이 건강해야 때깔도 산다. -

#5g #학교과제로 #끄적여본글 #내실에더신경써야할때 #글스타그램 #에세이스타그램 #그래도 #대한민국이최고 #작문스타그램
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
7 1
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Your only as good as the people that you surround  yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
5 0
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
6 0
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
7 0
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
5 0
Your only as good as the people that you surround yourself with.
Given the scarcity of talent you have to keep your circle small, to circulate good information, news, and ideas in order to grow.
If they can't teach then you can't reach.
Nuff Said.🤗💥💥💥💥💥💥
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
#내용확인 #행사 #전시 #인포
.
생각들좀 하고 사진쫌 찍어주시면 안되나요.
인포에서 일하고있는데 사진찍는것도
솔직히 눈치보면서 멀리서 찍는데
관계자분들 다있고그런데 그앞에서 일도 못하게 계속말시키고 노가리까고 있는 사람들은 뭡니까?
.
그리고 인포보다가 VIP와서 의전하고 있는데 VIP한테 모델찍게 비키라고 하는게
상식적으로 말이된다고 생각합니까?
머리는 장식이예요? 
나이는 어디로 쳐드신건가요?
모델분들 욕먹일라고 작정하셨나요?
아니면 나이많다고 맘데로 해도 된다생각하시나요?
.
#월드IT쇼 #SKT #SK텔레콤 #5G #인포 #코엑스
.
@sola0508
.
#모델 #임솔아 #소수촬영 #개인촬영 #스튜디오촬영 #야외촬영 #모델촬영 #컨셉촬영 #촬영회 #레이싱모델 #인물사진 #사진 #photo #취미 #추억 #노몰리 #nomoli #꿀벌리 🍯🐝
212 16
#내용확인 #행사 #전시 #인포
.
생각들좀 하고 사진쫌 찍어주시면 안되나요.
인포에서 일하고있는데 사진찍는것도
솔직히 눈치보면서 멀리서 찍는데
관계자분들 다있고그런데 그앞에서 일도 못하게 계속말시키고 노가리까고 있는 사람들은 뭡니까?
.
그리고 인포보다가 VIP와서 의전하고 있는데 VIP한테 모델찍게 비키라고 하는게
상식적으로 말이된다고 생각합니까?
머리는 장식이예요?
나이는 어디로 쳐드신건가요?
모델분들 욕먹일라고 작정하셨나요?
아니면 나이많다고 맘데로 해도 된다생각하시나요?
.
#월드IT쇼 #SKT #SK텔레콤 #5G #인포 #코엑스
.
@sola0508
.
#모델 #임솔아 #소수촬영 #개인촬영 #스튜디오촬영 #야외촬영 #모델촬영 #컨셉촬영 #촬영회 #레이싱모델 #인물사진 #사진 #photo #취미 #추억 #노몰리 #nomoli #꿀벌리 🍯🐝
...
هواوی در پی عرضه اولین ماژول 5G برای خودروهای هوشمند.

هواوی اعلام کرده که این ماژول 5G به عنوان یک محصول ارتباطی مهم برای حمل و نقل هوشمند خودروهای آینده، گامی به سوی جلو برای صنعت خودرو به حساب می آید و برای تجاری سازی تکنولوژی نسل پنجم هواوی در نیمه دوم سال جاری، به کمک این شرکت خواهد آمد.

#هوآوی
#خودرو_هوشمند
#شهر_هوشمند
#حمل_و_نقل
#صنعت_خودرو
#تجاری_سازی
#تکنولوژی
#نسل_پنجم
#5G
#Huawei
#itwiki
#itwiki_ir
@itwiki
@itwiki_ir
12 0
...
هواوی در پی عرضه اولین ماژول 5G برای خودروهای هوشمند.

هواوی اعلام کرده که این ماژول 5G به عنوان یک محصول ارتباطی مهم برای حمل و نقل هوشمند خودروهای آینده، گامی به سوی جلو برای صنعت خودرو به حساب می آید و برای تجاری سازی تکنولوژی نسل پنجم هواوی در نیمه دوم سال جاری، به کمک این شرکت خواهد آمد.

#هوآوی
#خودرو_هوشمند
#شهر_هوشمند
#حمل_و_نقل
#صنعت_خودرو
#تجاری_سازی
#تکنولوژی
#نسل_پنجم
#5G
#Huawei
#itwiki
#itwiki_ir
@itwiki
@itwiki_ir
After settling their legal battle with Qualcomm, Apple is now on track to add support for 5G on next year’s iPhones. According to analyst Ming-Chi Kuo, the 2020 iPhones will support 5G networks with Qualcomm and Samsung likely to supply the modems instead of Intel.

#Apple #iPhone #5G #AppleHub
4 0
After settling their legal battle with Qualcomm, Apple is now on track to add support for 5G on next year’s iPhones. According to analyst Ming-Chi Kuo, the 2020 iPhones will support 5G networks with Qualcomm and Samsung likely to supply the modems instead of Intel.

#Apple #iPhone #5G #AppleHub
Our world as we know it will be transformed by the advent of #5G. Find out how enterprises can benefit from this phenomenon and make the most of 5G #technology here: https://sigma-systems.com/sigma-market-solutions/5g-business/
4 0
Our world as we know it will be transformed by the advent of #5G. Find out how enterprises can benefit from this phenomenon and make the most of 5G #technology here: https://sigma-systems.com/sigma-market-solutions/5g-business/
#Repost @uplus5ggil (@get_repost)
・・・
#오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
⠀⠀⠀
#엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
0 0
#Repost @uplus5ggil (@get_repost )
・・・
#오지순례티비 #조보아
핫플에 핫피플이 온다!
✨4월 26일, 19시 조보아 팬싸인회✨
⠀⠀⠀
▶선착순 100명! 줄 서세용~!
1. 이 게시물 리그램 or 일상로 5G길 체험 인증샷 업로드
필수해시태그: #일상로5G길 #유플러스5G
2. 일상로 5G길(강남역 CGV 맞은편) 2층 5G BAR에서 게시물 확인 받기
3. 선착순 100명 번호표 받고, 조보아 만나기!
* 당일 17시부터 번호표 배포, 19-20시 팬싸인회 진행
⠀⠀⠀
⠀⠀⠀
#엘지유플러스 #5G #유플러스5G
#일상로5G길 #일상어택 #일상을바꿉니다
New #5G microwave couture hat on sale now.
.
This is a sketch for an ad we were going to run over a year ago. It now seems more relevant than ever as #5G is being rolled out in the U.S. and Europe. California is creeping it into Cities unbeknownst to residence, while others are installing behind people’s back after attempts have been made to halt or completely stop installation. .
. There are too many unknowns with this technology’s affect on biologIcal cells and neuronal effects. Please get involved with your local government as this is where your greatest affect lies. .
. Pay with Your Life . Appearances are Deceiving . Be careful of what You’re Receiving.
Right now #Switzerland is the first country to turn on 5G nationally with people now complaining of migraine headaches. With the exclusion of canton #vaud canton #vallais and canton #ticino delaying installations on a local level. Federal levels are in full support just like in the U.S. and China.
Radio frequencies that can scatter cognition is not a good idea to have microwaving at every street corner, as 5G needs high density coverage.
.
#no5g #verizon #att #paywithyourlife #serealkillers #theserealkillers #valtd #swisscom  #dtla #contemporaryart #losangeles #alternativetentacles #luxlife
23 1
New #5G microwave couture hat on sale now.
.
This is a sketch for an ad we were going to run over a year ago. It now seems more relevant than ever as #5G is being rolled out in the U.S. and Europe. California is creeping it into Cities unbeknownst to residence, while others are installing behind people’s back after attempts have been made to halt or completely stop installation. .
. There are too many unknowns with this technology’s affect on biologIcal cells and neuronal effects. Please get involved with your local government as this is where your greatest affect lies. .
. Pay with Your Life . Appearances are Deceiving . Be careful of what You’re Receiving.
Right now #Switzerland is the first country to turn on 5G nationally with people now complaining of migraine headaches. With the exclusion of canton #vaud canton #vallais and canton #ticino delaying installations on a local level. Federal levels are in full support just like in the U.S. and China.
Radio frequencies that can scatter cognition is not a good idea to have microwaving at every street corner, as 5G needs high density coverage.
.
#no5g #verizon #att #paywithyourlife #serealkillers #theserealkillers #valtd #swisscom #dtla #contemporaryart #losangeles #alternativetentacles #luxlife
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 10
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
7 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 10
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 11
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
4 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 11
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 12
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
4 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 12
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 7
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
2 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 7
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 8
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 8
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 9
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 9
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
2 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 4
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 5
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
4 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 6
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
4 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 1
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
2 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 2
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
3 0
Seventy-one percent of people expect their company’s artificial intelligence investments to increase in the coming years (via 2018 McKinsey data), and it’s no wonder that many of the world’s largest companies are deep in the midst of investing in AI capabilities.
The simple fact is that building AI is hard for most people, and I believe those who do it well are a part of a very exclusive club. Not only must a team have deep expertise in the core mechanisms of the technology, but it must also be able to develop across stacks that deliver all the necessary security and scalability that today’s enterprises require. That’s no simple task.
All the same, there are still plenty of companies out there drawn to the idea of owning and controlling the internal development of AI projects.Meanwhile, other companies have looked to bring AI expertise in-house via acquisitions.
Becoming an AI-capable organization does not mean redefining your company’s identity around AI technology. It means intelligently infusing expertise into certain areas of your company, empowering it to seek and adopt the right AI-driven solutions for the company’s needs, and then instilling an understanding of the value and capabilities of a company’s AI applications throughout the organization.
Companies should look to build internal expertise in AI analytics and establish proper flows that can be used to feed training data sets. For example, a company employing conversational AI solutions will want to ensure it regularly assesses logs of customer inquiries to determine the most common ways its unique customers pose questions.
At the end of the day, all AI implementations should share a common goal: contributing to outstanding customer experiences.
Welcome to the wonderful world of complexities in the 4th Industrial revolution (IR 4.0)
Part 3
#cryptocurrencies #crypto #bitopia #bitcoin #stablecoins #computervision #investors #books #digitalskills #colleges #college #gamers #millennials #millennialdisruptionindex #gen2020 #blockchaintechnology #GAFA #economy #gigeconomy #decentralizeddigitalecosystem #digitaldarwinism #p2p #machinelearning #robots #IOT #AI #5G #4thindustrialrevolution
Edge computing is altering the geography for the most desirable commercial space. Martin Capurro of EdgeMicro explores how we can expand the map of prime connected real estate.
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#business #5G #connectivity #CRE #businessgrowth #smartbuildings #future #realestate #wireless #CommercialRealEstate #industrial #growth #connected #fiber #inbuildingwireless #inbuildingconnectivity #technology #DAS #CBRS #IoT #privateLTE #cellular #inbuilding #smallcells
10 0
Edge computing is altering the geography for the most desirable commercial space. Martin Capurro of EdgeMicro explores how we can expand the map of prime connected real estate.
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#business #5G #connectivity #CRE #businessgrowth #smartbuildings #future #realestate #wireless #CommercialRealEstate #industrial #growth #connected #fiber #inbuildingwireless #inbuildingconnectivity #technology #DAS #CBRS #IoT #privateLTE #cellular #inbuilding #smallcells

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