With the rising demand for Generative AI applications in businesses, existing operational ecosystems are being tested for their adaptability to this new technology. This talk aims to address the arising question: "Can existing MLOps frameworks accommodate LLMOps while maintaining risk and compliance standards across enterprises?" We will delve into the intricacies of both MLOps and LLMOps, discussing which MLOps components are feasible for reuse, and which require major modifications or total replacement to support generative AI and LLMs efficiently. We invite IT professionals tasked with supporting LLMOps systems, Engineers and Data Scientists tasked with building LLM-based applications, and Risk Officers seeking to establish governance frameworks to join us as we chart the roadmap for the transformation of your existing MLOps framework to make it Gen-AI-ready.
Ahmet Gyger is the Senior Director of Product Management at Domino Data Lab and has 12+ years of experience in building AI at companies like Microsoft, Salesforce, and Apple. From his experience at Microsoft Azure ML, Salesforce Einstein, and Apple Siri, Ahmet had the opportunity to work with many companies deploying AI at scale. Ahmet is leading product data science at Domino Data Lab.
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