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.
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Machine learning (ML) will fundamentally change the way we build and maintain applications. How can we adapt our infrastructure, operations, staffing, and training to meet the challenges of the new software development lifecycle (SDLC) without throwing away everything that already works? ML is the future of application development, but presently, many ML teams are flailing without a process or trying to shoehorn their ML workflow into tools that don’t fit the requirements. This session helps you understand the differences between the traditional and ML-driven SDLCs. You also learn to build a process and stack to bring efficiency to emerging development.