The AI Fundamentalists - Ep1 SummaryWelcome to the first episode. 0:03Welcome to the first episode of the AI Fundamentalists podcast.Introducing the hosts.Introducing Sid and Andrew. 1:23Introducing Andrew Clark, co-founder and CTO of Monitaur.Introduction of the podcast topic.What is the proper rigorous process for using AI in manufacturing? 3:44Large language models and AI.Rigorous systems for manufacturing and innovation.Predictive maintenance as an example of manufacturing. 6:28Predictive maintenance and predictive maintenance in manufacturing.The Apollo program and the Apollo program.The key things you can see when you’re new to running. 8:31The importance of taking a step back.Getting past the plateau in software engineering.What’s the game changer in these generative models? 10:47Can Chat-GPT become a lawyer, doctor, or teacher?The inflection point with generative models.How can we put guardrails in place for these systems so they know when to not answer? 13:46How to put guardrails in place for these systems.The concept of multiple constraints.Generative AI isn’t new, it’s embedded in our daily lives. 16:20Generative AI is not new, but not a new technology.Examples of generative AI.The importance of data in machine learning. 19:01The fundamental building blocks of machine learning.AI is revolutionary, but it's been around for years. What can AI learn from systems engineering? 20:59Nasa Apollo program, systems engineering.Systems engineering fundamentals world, rigor, testing and validating.Understanding the why, data and holistic systems management.The AI curmudgeons, the AI fundamentalists.What did you think? Let us know.Good AI Needs Great Governance
Define, manage, and automate your AI model governance lifecycle from policy to proof.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

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