Building machine learning models is a creative process that requires deep thinking and expertise. But there's a lot of drudgery required to find and prep the data to train your ML model, not to mention getting that model into production or re-training it later. Whether you're using H2O.ai, Spark MLlib or any other machine learning framework, building your ML model is just one step in the longer process of getting machine learning into production.
Join Infoworks and Databricks at this live webinar for discussion and demo on how to:
To reserve your space, simply fill out the form and click "submit."
Sr. Solution Architect,
Dave brings over 20 years experience to his current role of senior solution architect at Infoworks.io, where he specializes in solutions for enterprise data operations for machine learning and advanced analytics. Prior to Infoworks, Dave worked at H2O.ai, Cask and MongoDB, working with clients to unlock insight from their data.
Partner Solutions Architect, Databricks
With over 15 years of industry experience, Prasad Kona is a trusted advisor and thought leader who has built and executed complex data analytics and AI strategy for customers and partners. With his deep knowledge around data engineering, data science, and machine learning, Prasad helps companies attain quantifiable business value from their technology investments.