Junta Nakai is the Global Industry Leader for Financial Services at Databricks where he is responsible for driving the adoption of the Unified Data Analytics Platform across Capital Markets, Banking/Payments, Insurers and Data Providers. Prior to joining Databricks, Junta spent 14 years at Goldman Sachs in New York, where he most recently served as the Head of Asia Pacific Sales in the Equities Division. He is a contributing Business and Technology writer for various publications and speaks frequently about digital transformation in Financial Services at conferences and media outlets around the world. Junta is bilingual in English and Japanese and holds a B.A. in Economics & International Studies from Northwestern University.
November 17, 2020 04:00 PM PT
In today’s economy, financial services firms are forced to contend with heightened regulatory environments and a variety of market, economic and regulatory uncertainties. Coupled with increasing demand from customers for more personalized experiences and a focus on sustainability/ESG, incumbent Banks, Insurers and Asset Managers are reaching the limits of where their current technology can take them with their Digital Transformation initiatives. It’s more critical than ever for institutions to turn towards big data and AI to meet these demands, and make smarter, faster decisions that reduce risk and protect against fraud. Business and analytics leaders and teams from the Financial Services sector are invited to join this industry briefing to learn new ideas and strategies for driving growth and reducing risk with data analytics and AI.
Panelists:
Speaker: Junta Nakai
Join us for an interactive Financial Services Forum at Spark + AI Summit. In this free virtual event, you will have the opportunity to network with your peers and participate in engaging discussions with industry leaders from Credit Suisse, Goldman Sachs and Nasdaq how data analytics and machine learning are driving innovation across the entire sector. This live event is available on a first-come-first-serve basis and has limited capacity. The recording will be available on-demand shortly after.