[Live Webinar] MLOps: Machine Learning Operationalization

Hi sherly, Join us on September 27 at 10:00AM PST / 1:00PM EST for a live webinar hosted by us. Come hear from Nisha Talagala, CTO & VP Engineering, ParallelM, as well as Boris Tvaroska, Global Artificial Intelligence Lead, Lenovo, as well as Dana Crane, Product Marketing Manager, ActiveState, regarding processes, tools and use cases for machine learning. We know the challenges organizations face when crossing the last mile, or operationalizing their machine learning models. Successfully pushing ML to production requires a shift in your DevOps practices to become MLOps, machine learning operationalization. REGISTER NOW We’ve brought together a panel deeply entrenched in machine learning and its operationalization along with successful deployments of software at scale. In the webinar, Nisha, Boris and Dana will cover: Processes for IT and engineering teams tailor-made for operationalizing ML Best practices for MLOps Use cases for ML including ML for DevOps Can’t make it to the webinar? Register anyway, and we’ll send you a link to the recorded session once it’s available. Best Regards, Jason Kamara ActiveState Team #1000 - 1177 W Hastings St. | Vancouver, BC V6E 2K3 | Canada | Phone: (778) 786 1100 | Toll-Free: 1 (866) 631 4581 | Fax: (778) 786 1133 www.activestate.com

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