Author

Peter Ajemba

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Peter Ajemba is an expert in machine learning and artificial intelligence systems. He works with organizations to apply AI/ML to optimize business processes and systems and to develop data and insights products. A former chief technology officer for a drug discovery venture that pioneered AI/ML use in bio-signal amplification, Peter provides technology leadership in product design, process improvement, regulatory strategy, and team development across consumer products, medical devices, and drug discovery verticals.

1 in the libraryPublishing since 2024
Cover of Systemic Controls for Managing Risk in AI/ML Systems

Newest · 2024

Systemic Controls for Managing Risk in AI/ML Systems

This paper, published in the Fall 2024 Enterprise Technology Leadership Journal, addresses the challenges of managing risks associated with artificial intelligence (AI) and machine learning (ML) systems.

Free · Creative Commons2024 · Guidance paper · Ebook & PDF

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Publications, talks, and the roles they came out of — one thread, newest first.

2024

Guidance paperSystemic Controls for Managing Risk in AI/ML Systems

with Dean Leffingwell, Jeff Gallimore & 2 others

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