Advancing Financial Inclusion using Big Data

  • 10 Oct 2018
  • 6:00 PM - 8:00 PM
  • Deloitte, 30 Rockefeller Plaza, 40th Floor/Empire Room, NYC


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

Registration is closed

"Big data" and related analysis through AI 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. Register now!

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 big data has special relevance in emerging markets;
  • how best to acquire big data (from public and private sources) and develop the talent to make use of it.

Speakers include:

  • Rohit Acharya, Co-founder and Chief Data Scientist, First Access. First Access helps lenders make stronger, faster credit decisions through its smart data plaform. See .
  • 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

  • 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

  • José Fernandez, President of Atlas. Atlas provides door-to-door banking to the people in their communities See .
  • 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


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.


30 Rockefeller Center is between 5th and 6th Ave, and between 49th and 50th St. Enter 30 Rockefeller Ctr. from the main entrance – Plaza Level (directly across from the ice skating rink) and proceed to the elevator bank 28 - 42.  The main security desk inside the entrance can direct you to the proper elevators. There will be a Deloitte staff member at the elevator bank to greet  you and direct you to the 40th Floor. There will also be someone on arrival on the 40th Floor that will direct you to the Empire Room. Should you require assistance, please call Cecille Ford – 212 436 3981. We also will monitor

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

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