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Machine Learning for IoT-Based Digital Transformation

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Manage episode 295859579 series 1316969
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest Dr. Michael Roshak works as an Enterprise Architect for Bankers Healthcare Group - a fintech company that helped hospitals and doctors with financial services during the pandemic. And as part of the Microsoft AI & IoT Insider Lab, Mike ran code-a-thons for Microsoft developers and from which recently wrote the book, Artificial Intelligence for IoT Cookbook.

In this episode, Mike and Bruce discuss:

  • Voice activation and privacy concerns.
  • The air gap DMZ zone used in AI security.
  • The primary importance of upfront business planning for AI success.
  • The balance of edge and cloud computing for IoT AI.
  • The concept of duty cycles and why they’re important to use as a precursor to anomaly detection and predictive maintenance.
  • Not reinventing the wheel and getting help from your cloud and silicon providers.
  • The minimum data science team required for AI success.

Related links you may find useful:

  continue reading

141 episodes

Artwork
iconShare
 
Manage episode 295859579 series 1316969
Content provided by Bruce Sinclair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bruce Sinclair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest Dr. Michael Roshak works as an Enterprise Architect for Bankers Healthcare Group - a fintech company that helped hospitals and doctors with financial services during the pandemic. And as part of the Microsoft AI & IoT Insider Lab, Mike ran code-a-thons for Microsoft developers and from which recently wrote the book, Artificial Intelligence for IoT Cookbook.

In this episode, Mike and Bruce discuss:

  • Voice activation and privacy concerns.
  • The air gap DMZ zone used in AI security.
  • The primary importance of upfront business planning for AI success.
  • The balance of edge and cloud computing for IoT AI.
  • The concept of duty cycles and why they’re important to use as a precursor to anomaly detection and predictive maintenance.
  • Not reinventing the wheel and getting help from your cloud and silicon providers.
  • The minimum data science team required for AI success.

Related links you may find useful:

  continue reading

141 episodes

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