MLOps: Bridging the Gap between ML and Operations
When & Where
11:00 am – 11:30 am
About This Talk
In this session, our panel of experts will discuss how MLOps can streamline the machine learning lifecycle, from model development to deployment and monitoring. Learn best practices for implementing MLOps, real-world examples, and how it can help drive successful machine learning initiatives. Attend this session to gain valuable insights on how MLOps can help bridge the gap between machine learning and operations.
Dr Pandian Angaiyan (Moderator)
Dr Pandian currently serves as the Chief Technology Officer at Tech Mahindra&rsquo;s High Technology Cluster as well as a Member of the Board of Directors at iGrantha Inc. Dr Pandian possesses a deep blend of insights in image processing and high-performance computing using multicore and GPU techniques, especially across the medical and industrial domains. Dr Pandian has also worked on developing a series of creative business propositions around leveraging cloud computing to allow digital media companies aggregate processing to reduce time-to-market and substantially improve time-to-cash flow for larger-scale digital productions.
Hagay Lupesko is the VP Engineering at Mosaic ML and is on a mission to make ML training more efficient and accessible. Prior to Mosaic ML, Hagay was a Director of Engineering at Meta AI, where he led machine learning engineering and applied research to deploy state- of-the-art AI systems at a massive scale, and powered key businesses and user experiences across Meta's platforms. Hagay has also led Deep Learning Engineering teams responsible for building deep learning systems and tools to help engineers and scientists leverage artificial intelligence in their services and applications. Earlier in his career, Hagay engineered and shipped products across various domains from 3D medical imaging, through global-scale web systems, and up to deep learning systems used at scale by engineers and scientists worldwide. Hagay has a Masters degree from Tel Aviv University in Computer Science and Bachelor of Computer Science degree from Ben Gurion University.