Explore the critical aspects of ML Observability for mission-critical use cases in this comprehensive 1-hour 9-minute video presentation. Delve into the additional layers required for deploying AI in high-stakes environments, including explainability, monitoring, auditability, data privacy, and risk mitigation. Understand why enterprises need to shift focus from mere 'Model manufacturing' to robust ML Observability. Learn about the inherent risks and challenges of AI/ML models, such as potential failures, lack of explainability, production risks, data privacy concerns, and complex auditing processes. Join Vinay Kumar, Founder & CEO of Arya.ai, as he discusses key components of ML Observability, implementation challenges, and presents real-world case studies of Explainable AI applications. Gain access to the full presentation slides and discover how to stay updated on the latest deep tech content, events, research papers, and job opportunities through the Applied Singularity App.
Overview
Syllabus
ML Observability for mission-critical usecases
Taught by
Applied Singularity
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