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Overview
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Explore real-time neuron monitoring and causality tracing techniques in this 47-minute MLOps podcast episode featuring Mike Oaten, Founder and CEO of TIKOS. Discover how AI models operating in high-stakes environments like defense and financial services require more than standard input/output testing and monitoring to achieve true compliance with emerging regulations such as the EU AI Act and NIST AI RMF. Learn about TIKOS's patent-pending AI assurance technology that moves beyond statistical proxies by accessing and analyzing the internal reasoning of AI models. Examine the architecture of the Synapses Logger, a breakthrough technology that embeds directly into neural activation flow to capture weights, activations, and activation paths in real-time. Understand the critical differences between observability in traditional systems versus machine learning, explore risk transfer mechanisms in AI deployment, and investigate the challenges of implementing LLMs in regulated financial environments. Gain insights into stakeholder alignment strategies, data compliance mapping techniques, and practical approaches to AI governance in regulated industries including autonomous systems and defense applications.
Syllabus
[] Regulations as Opportunity
[] Regulation Compliance Fun
[] AI Act Layers Explained
[] Observability in Systems vs ML
[] Risk Transfer in AI
[] LLMs and Model Approval
[] LLMs in Finance
[] Hyperbolic GPU Cloud Ad
[] Stakeholder Alignment and Tech
[] AI in Regulated Environments
[] Autonomous Boat Regulations
[] Data Compliance Mapping
[] Data Capture Strategy
[] EU AI Act Insights
[] Wrap up
[] Join the Coding Agents Conference!
Taught by
MLOps.community