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Machine Learning for IoT-Based Digital Transformation
Manage episode 295859579 series 1316969
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:
-
- Season 2: Episodes and show notes
- Season 2 book: The Private Equity Digital Operating Partner
- Season 1: Episodes and show notes
- Season 1 book: IoT Inc
- Training: Smart digital transformation certification
141 episodes
Manage episode 295859579 series 1316969
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:
-
- Season 2: Episodes and show notes
- Season 2 book: The Private Equity Digital Operating Partner
- Season 1: Episodes and show notes
- Season 1 book: IoT Inc
- Training: Smart digital transformation certification
141 episodes
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