What are the latest initiatives and use cases around data and AI? How are data and AI reshaping industries? How do we foster a culture of data and innovation within a larger enterprise? What are some of the challenges of implementing AI within the enterprise setting? Michael Li moderates a panel of experts in different industries to answer these questions and more.
Michael Li is the founder and CEO of the Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to fellows and routinely accepts just 1% of applicants. Employers engage with the Incubator as hiring partners. Previously, Michael was a data scientist at Foursquare, a quant at D.E. Shaw and JPMorgan, and a rocket scientist at NASA. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science, so he decided to build a startup that lets him focus on what he really loves. He holds a PhD from Princeton, where he was a Hertz fellow, and read Part III Maths at Cambridge, where he was a Marshall scholar. Michael enjoys the opera, rock climbing, and attending geeky data science events.
Philipp Diesinger is global head of data science at Boehringer Ingelheim, where he develops the company’s data science capabilities following a quant-level approach driven by the philosophy that the impact of data science is maximized through bright minds and scaled through technology. The artificial intelligence solutions he and his team have been working on have enabled Boehringer Ingelheim to adopt industry-leading positions in key areas. Philipp is a passionate data scientist who firmly believes that data-driven scientific problem solving will significantly transform industries and economies on a large scale. He started his career as a researcher at the Massachusetts Institute of Technology following his PhD in theoretical physics and has worked for a number of companies, including SAP Global Data Science Consulting, where he developed smart data science solutions for globally operating customers and scaled the data science team’s life science engagements.
Julie Shin is the head of strategic operations and innovation at Citigroup, where she executes enterprise transformation initiatives with management teams that drive the organization’s strategy across products, geographies, operations, technology, and global functions. Julie also manages a portfolio of fintech ventures to test for proof of concept and commercialization viability in improving client experiences, scaling internal capability building, delivering efficiency and growth opportunities, and enabling open innovation with partnership from businesses and senior leadership teams. Previously, Julie was an investment banker at Deutsche Bank covering retail, consumer, and financial technology verticals, and in corporate development and executive relationship management roles at Lincoln Financial Group. Julie holds a BA from Northwestern University and an MBA from the University of Chicago’s Booth School of Business and completed postbaccalaureate studies at the Wharton School of the University of Pennsylvania. She holds FINRA 6, 7, and 63 licenses and is an active member of the New York community. She’s also an angel investor. Julie is an honoree of Innovate Finance’s Women in FinTech Power List and Remodista’s Women2Watch in Business Disruption.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2018, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org