What are the latest initiatives and use cases around data and AI? How are data and AI reshaping industries? What are some of the challenges of implementing AI within the enterprise setting? Michael Li moderates a panel of experts in different industries—including Lori Bieda, Saar Golde, Sassoon Kosian, and Len Usvyat—to answer these questions.
Tianhui Michael Li is the founder and president of the Data Incubator, a data science training and placement firm. Michael bootstrapped the company and navigated it to a successful sale to the Pragmatic Institute. Previously, he headed monetization data science at Foursquare and has worked at Google, Andreessen Horowitz, JPMorgan, and D.E. Shaw. He’s a regular contributor to the Wall Street Journal, TechCrunch, Wired, Fast Company, Harvard Business Review, MIT Sloan Management Review, Entrepreneur, VentureBeat, TechTarget, and O’Reilly. Michael was a postdoc at Cornell, a PhD at Princeton, and a Marshall Scholar in Cambridge.
Len Usvyat is a vice president of integrated care analytics at Fresenius Medical Care’s North America Medical Office, where he is responsible for supporting analytical efforts for Fresenius’s integrated care assets such as its pharmacy, vascular care centers, urgent care facilities, hospitalist group, and the Fresenius health plan. These efforts vary and include activities such as routine and custom reporting, predictive modeling, outcomes analysis, and research. He also chairs FMCNA’s Predictive Analytics Steering Committee. Len has over 15 years of experience in data management, analytics, research, and epidemiology. Previously, he worked with Renal Research Institute, an FMCNA subsidiary, on a variety of research projects related to patient outcomes and quality reporting. Len has published over 40 manuscripts in peer reviewed journals. He holds a master’s degree from the University of Pennsylvania and a PhD from the University of Maastricht in the Netherlands.
Saar Golde is the chief data scientist at Via Transportation, a ride-sharing company focused on shared rides. Previously, Saar built and led the data science practice at information and technology consultancy Knowledgent, was the first analytics solution architect for Revolution Analytics (now part of Microsoft), and served as the chief economist of the virtual world of Gaia Online. He holds a PhD in economics from Stanford University, an MSc in management science from Tel Aviv University, and a BSc in physics and math from the Hebrew University in Jerusalem. Saar is currently on leave from his adjunct position at the engineering school at NYU, where he usually teaches a class on big data in finance.
Lori Bieda is head of the Bank of Montreal’s Analytics Centre of Excellence, where she oversees analytics, including revenue, risk, and price trade-off decisions, product analytics, customer optimization, database marketing, predictive analytics, customer experience, sales, and service optimization. She also leads enterprise customer journey analytics, cross-channel client experience analytics, and the monetization of journeys. An analytics, technology, and marketing executive with 20+ years experience driving profitable business growth through the strategic use of data and analytics, Lori has worked around the globe helping Fortune 500 companies across financial services, telecom, technology, healthcare, retail, and manufacturing advance their businesses through the strategic use of data and insights.
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