Deploying Scalable ML Models in the Enterprise
After massive investments in collecting and cleaning data, then training Machine Learning models—Enterprises discover the big challenges in deploying models to production and managing their growing portfolio of ML models. This talk will cover the strategic and technical hurdles each company must overcome and the best practices we've developed while deploying over 5,000 ML models for 75,000 engineers.
Diego Oppenheimer, founder and CEO of Algorithmia, is an entrepreneur and product developer with an extensive background in all things data. Prior to founding Algorithmia he designed, managed and shipped some of Microsoft’s most used data analysis products including Excel, Power Pivot, SQL Server and Power BI. Diego holds a Bachelors degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.