November 2019 Chapter Meeting
Recommendation Algorithms and Corresponding Product and Architectural Considerations
Speakers: Stephen Philip, Madhu Nair & Jake Ruttenberg
Tuesday, November 12th
How do you create a successful data science team in a product engineering org? How can your architecture enable innovation in data science? Find out in this talk, as Microsoft’s Advanced Services Delivery (ASD) Platform Engineering and Product team walks you through a survey of advanced recommendation algorithms, and the product decision sciences and architectural frameworks that have made them successful.
Stephen is the Data Scientist Manger for the Microsoft’s Digital Support Delivery Engineering Applied Data Science team. His team charter is to infuse AI into Microsoft’s support assets and processes. Prior to this, Stephen was a Data Scientist Lead in Microsoft’s Azure team, serving customers in the north central U.S. region. Stephen began his career on Wall Street as an investment banker and quantitative trading associate in the OTC and exotic derivatives space. He created award winning, AI machine learning algorithms for pricing, risk, and liquidity, still used widely in global markets today. Stephen continued on to data science consulting across industries. His most recent engagement before Microsoft was with Wal-Mart and TCS in a hybrid, research and consulting data science role. Stephen is passionate about strategic AI advisory, algorithmic excellence, and being a lifelong learner.
Director of Engineering with over 25 years of experience and a wide range of skills in both software product development and professional services. Extensive background in developing cloud solutions using agile methodologies. Over 10 years of experience in relational and multi-dimensional database technologies. Project management experience in leading large global teams to deliver critical projects within tight time constraints. Over 10 years of solid experience in software product development strategy, leadership, and support as well as in business, retail, healthcare and litigation consulting domains.
Analytics and technology leader with twenty-four years of experience leading analytic teams and developing data products designed to deliver business results. Currently serves as Principal Product Manager for Predictive Proactive features within the Microsoft Services Hub. Prior roles at Microsoft include Director of Business Analytics & Insights in the Microsoft WCB organization delivering insights and data products to enable leadership, Services sales, and support delivery resources. Other roles included Director of Customer Analytics for Starbucks Coffee Company with emphasis on customer acquisition, engagement, and retention for the loyalty business and digital analytics manager focused on customer behavior using the Starbucks mobile application and payment products.
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