The AI Fundamentalists
Dr. Andrew Clark & Sid Mangalik
A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses.
Baseline modeling and its critical role in AI and business performanceApril 16, 2024
Information theory and the complexities of AI model monitoringMarch 26, 2024
The importance of anomaly detection in AI March 05, 2024
What is consciousness, and does AI have it?February 12, 2024
Upskilling for AI: Roles, organizations, and new mindsetsJanuary 24, 2024
Non-parametric statisticsJanuary 09, 2024
AI regulation, data privacy, and ethics - 2023 summarizedDecember 18, 2023
Managing bias in the actuarial sciences with Joshua Pyle, FCASDecember 07, 2023
Model Validation: PerformanceNovember 04, 2023
Model validation: Robustness and resilienceOctober 11, 2023
Digital twins in AI systemsSeptember 19, 2023
Fundamentals of systems engineeringAugust 23, 2023
Synthetic Data in AIAugust 07, 2023
Modeling with Christoph Molnar July 24, 2023
Why data matters | The right data for the right objective with AIJune 26, 2023
Truth-based AI: LLMs and knowledge graphs - back to basics May 31, 2023
Why AI Fundamentals? | AI rigor in engineering | Generative AI isn't new | Data quality matters in machine learning May 11, 2023