Machine Learning for IoT-Based Digital Transformation

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