In this presentation, we explore the integration of MLOps and traditional AI observability with an emphasis on corporate-level AI observability through AI stores.
We will discuss the objectives, challenges and risks associated with implementing AI stores, providing examples from real-world applications.
The session also addresses the unique demands of generative and cognitive AI technologies and introduces LLMOps as a disruptive methodology in combination with AI stores to support these new AI systems. Attendees will gain insights into how AI stores can enhance the management and governance of AI solutions (both traditional and generative) across various organizational units, ultimately fostering innovation and operational efficiency in a rapidly evolving technological landscape.
Technical level: Technical practitioner
Session Length: 40 minutes
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