Big Data and Machine Learning: Advancing Financial Inclusion and Economic Policy, Byte by Byte

  • 10 Oct 2018
  • 6:00 PM - 8:00 PM (EDT)
  • Deloitte, 30 Rockefeller Plaza, 50th Floor, NYC

Registration

  • If you are a Deloitte employee and do not have the access code, please email info@impactcapitalforumorg from your work email and an access code will be provided.

Register

"Big data" and related analysis through AI/Machine Learning are changing how projects of all kinds are driven forward. The impact capital/financial inclusion/economic policy sectors have made inroads using these techniques, including loan underwriting, constituent/customer acquisition and macro-economic forecasting, however the full potential of big data-driven initiatives remains largely untapped. At this panel, learn:

  • how big data differs from traditional data analysis;

  • how machine learning approaches provide promising techniques to extract insights but needs to be used with care;

  • the successes and challenges of applying big data to understanding financial, economic and social activity;

  • how best to acquire big data (from public and private sources) and develop the talent to make use of it.

Speakers include:

  • Julia Lane, Professor at the NYU Center for Urban Science and Progress, and an NYU Provostial Fellow for Innovation Analytics. Dr. Lane is involved in US and international efforts to use highly granular economic data for economic policy-making.  See https://wagner.nyu.edu/community/faculty/julia-lane.

  • Jeff Stewart, founder of LenddoEFL. LenddoEFL is a world leader in scoring and identity verification technology, using non-traditional data to provide credit scoring and verification for the emerging middle class. In 2017, Lenddo merged with Entrepreneurial Finance Lab to better serve 20+ emerging markets. See www.lenddo.com and http://include1billion.com/.

  • Zach Hervieux-Moore, head of Data Science Engineering at Stratyfy. Stratyfy’s decision management solution empowers leaders with technology that combines the insights and agility of AI, with the control and transparency of traditional scorecards or rule engines. In essence, their software uniquely explains the ‘why’ behind what is otherwise a ‘black-box’ outcome with little or no explanation using standard machine learning. Offering a cross-industry solution, Stratyfy is able to advise organizations on the steps required to maximize use of these cutting-edge, data science technologies. See www.stratyfy.com.
  • Brian Merrill (moderator) is Managing Director at Deloitte Transactions and Business Analytics LLP. He specializes in forensic accounting, data mining and related application development.  See www.linkedin.com/in/brian-merrill-3aaa341/

Agenda:

6:00-6:15pm: Registration & Networking
6:15-7:30pm: Presentation & Q&A
7:30-8:00pm: Networking/Interaction with Panelists


Special thanks to Deloitte for hosting this event.

Enter 30 Rockefeller Plaza on the side street halfway between 5th and 6th Ave., running from 49th to 50th St., across the street from the west side of the skating rink. The event is at Deloitte on the 50th floor. The 1st floor welcome desk may ask you first to visit the Deloitte reception office also on the 1st floor, in order to receive a guest pass or be escorted upstairs.








Impact Capital Forum is a 501(c)(3) nonprofit organization. New York, N.Y.

Powered by Wild Apricot Membership Software