** MEDIA ADVISORY **
SUNNYVALE, CA, February 4, 2019 – ParallelM Principal Engineer, Lior Amar, will present “The Production Loop – Deploying and Managing H2O Models” at the H2O.ai San Francisco Conference on February 5th in San Francisco, California.
WHAT: The Production Loop – Deploying and Managing H2O Models
Deploying your H2O model is only the beginning. How do you know if your model is behaving as you expected in production? What if your live data drifts away from your training data? How do you get your model back on track? In this session, you will learn how ParallelM has integrated with H2O to allow you to quickly deploy both batch and real-time predictions; monitor models for data deviation and performance; and then seamlessly update models in production without missing a beat.
WHO: Lior Amar is the Principal Engineer at ParallelM, where he is responsible for the MCenter platform. He is an expert with 20 years’ experience in distributed systems development, low-level system programming and HPC cluster management / Linux systems. Before joining ParallelM, Lior was a government researcher working on high-performance computing (HPC). Before that, he was the Founder and CTO of Cluster Logic, a distributed systems consulting company. He has a Ph.D., and Master’s degree in Computer Science focused on distributed systems.
WHEN: “The Production Loop – Deploying and Managing H2O Models, February 5th from 3:30 pm – 3:52 pm PT
WHERE: H2O World San Francisco, Hilton San Francisco Union Square, 333 O’Farrell St. San Francisco, CA 94102 on the Godel-Pauling stage
ParallelM is the first and only company completely focused on delivering machine learning operationalization (MLOps) at scale. ParallelM’s breakthrough MCenter™ solution is built specifically to power the deployment, optimization, and governance of machine learning pipelines in production so that companies can scale machine learning across their business applications. ParallelM’s approach is that of a single, unified MLOps solution that embeds best practice processes in technology, enabling all ML stakeholders to unlock the business value of AI. Please visit www.parallelm.com or email us at firstname.lastname@example.org.
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