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Improving With MLOps: Three Steps to Operationalize at Scale

Dataiku 264 2 years ago
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In this session from Everyday AI New York Tech Day 2023, hear from Nico Rhode, Dataiku Sales Engineer, and Elisa Salamanca, Dataiku Senior Director of Product Management, to learn about how to improve MLOps. When it comes to industrializing ML models, challenges include lengthy project cycles and a lack of streamlined processes, which can leave teams struggling to keep up with business demands. In this session, attendees will gain insights into best practices and strategies for efficiently productionizing and monitoring ML models, including the latest features from Dataiku. To explore more about Dataiku, check out the rest of our content: CHECK OUT DATAIKU: https://bit.ly/36XBlpK BRIGHTTALK WEBINARS: https://bit.ly/33TIRjn DATA SCIENCE PIONEERS DOCUMENTARY: https://bit.ly/36V3rBF PARTNER ECOSYSTEM: https://bit.ly/3oCbk5k DATAIKU ACADEMY: https://bit.ly/2LjsEgZ DATAIKU COMMUNITY: https://bit.ly/2K8lOtV EGG ON AIR: https://bit.ly/37GhXMY DATA SCIENCE AND ANALYTICS MEETUPS: https://bit.ly/3n0ar5R BANANA DATA PODCAST: https://bit.ly/36UFgDs Linkedin: https://bit.ly/3lXyRMb Twitter: @dataiku Instagram: @dataiku

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