Rezultati pretraživanja
  1. 27. velj 2018.
  2. 27. velj 2018.
  3. By 2020 predicting 50 billion connected devices and considering industrial and consumer crossover

  4. 3. velj

    As make digital transformations using , they see immediate results that save time and money. The key challenge becomes weeding out the bad data and then using the good data to make a difference in .

  5. 16. srp 2019.
  6. 4. lip 2019.

    Manufacturers make use of less than 5% of operational data, report claims

  7. 31. ožu 2019.

    2. 그래서, 처리하는 데이터 량이 제한적이고, 불과 몇 억 건에 불과합니다. 마크베이스는 사람이 아닌 머신, 즉 기계가 발생시키는 데이터를 처리하는데 목적이 있습니다. 이 지점에서 4차산업혁명이라는 키워드가 나오게 됩니다.

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  8. 15. ožu 2019.

    "The Future is Smart" book supports the 4 truths w real case studies. Do u have an use case to share? See you next thurs 10am PDT/1pm EDT/7pm CET for Part 2 for more case studies abt 9/

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  9. 14. ožu 2019.
    Odgovor korisniku/ci

    This is only part1 of your interview covering the 4 truths from your book and the Jet Turbine case study. I'll stream the part 2 video covering case studies of , and our discussion about digital twins next week same time Thurs 10am PT.

  10. 14. ožu 2019.

    5 min to go for the . Are you going to join me for a discussion about driven B-Model w 1/

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  11. 25. sij 2019.
  12. 27. stu 2018.

    As comes into play to help organizations manage the data deluge, it is critical to against vulnerabilities

  13. 1. stu 2018.
  14. 11. lis 2018.

    23% of respondents said new business models and/or revenue streams driven by was one of the biggest potential business improvement areas for their organizations. What is the biggest IIoT business improvement area for your organization?

  15. 3. lis 2018.

    RT : Significant improvements in business and financial performance can be achieved by linking real-time and information to your .

  16. 23. kol 2018.

    RT : Three valuable lessons from businesses that have cracked open their and are in the trenches of

  17. 20. srp 2018.

    The next-generation IoT platforms will help companies eliminate IoT data exhaust and harness IIoT data for use as a strategic business asset

  18. 13. lip 2018.

    The deployment of virtual private networks (VPNs) can ensure that Industry 4.0’s data treasures stay hidden from unwelcome observers Weinberger engineering

  19. 23. svi 2018.

    With built-in security features and processes, VPNs provide robust protection for maintaining the privacy and integrity of highly sensitive IIoT data Weinberger engineering

  20. 29. ožu 2018.

    Will IIoT Drown Manufacturers in Data? Not if they Leverage the Edge

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