Artificial intelligence (AI) and Machine Learning (ML) are disrupting the financial services industry, and rightly so. The Finance, Banking and Insurance industries are sitting atop a mountain of customer data and are well positioned to benefit their business and their customers if they can utilize it effectively. AI can serve to improve decision-makaing, affect overall business strategy, generate new revenue, predict customer behavior, automate customer service, improve risk models, reduce costs, enhance business operations, improve customer experience, offer tailored products and advice, prevent fraud, and optimize internal processes. This track brings together business leaders and data science practitioners from the leading banks, insurance firms, asset management organizations, broker and investment firms, and fintech startups.

  • How organizations are adopting AI, ML, data analytics, image, voice recognition and NLP technologies across their enterprise to improve their businesses and better serve their customers
  • Integrate AI into business strategy development in banking, finance and insurance to make data-driven management decisions for the enterprise
  • How are innovators and Centers of Excellence bridging the gap between the tech and the business and developing a business case for AI
  • Applying AI to compliance, anti-money laundering (AML), fraud detection and digital identity
  • Using AI, ML and Deep Learning to improve personalization and predict customer behavior in banking, finance and insurance

WEDNESDAY, OCTOBER 23, 2019

OPENING DAY WORKSHOPS, SEMINARS, WELCOME RECEPTION & ATTENDEE BREAKOUT ROUNDTABLES

SEMINAR: Deploying AI and Intelligent Automation to Accelerate Digital Banking
Hosted by: Function-AI

ROUNDTABLE: What is Better for Introducing AI to Larger Companies – Centralized COE vs Distributed Collective Development
Moderator: Alex Muller, MBA, SVP, Chief Product Officer, Synchrony Financial

ROUNDTABLE: Enabling Advanced Analytics Implementations at Enterprise Level – Tech and Business Perspectives
Moderators: Srinivaas Krovvidy, PhD, Head, Advanced Analytics Enablement, Enterprise Data, Fannie Mae
Prabhakar Bhogaraju, MBA, Vice President, Digital Products, Fannie Mae

ROUNDTABLE: Solving Anonymous ID Stitching – Handling Multiple Personas in Silo-ed Systems
Moderator: Sridhar Raman, Product Development Leader, Intuit Inc


Thursday, October 24 – Friday, October 25

AI GOVERNANCE: AI/ML IMPLEMENTATION FRAMEWORK IN FINANCIAL SERVICES

Opening Remarks
Rivka Gewirtz Little, Research Director, Global Payment Strategies, IDC

OPENING KEYNOTE: Building a Responsible AI/ML Program in Financial Services
Dave Castillo, PhD, Managing Vice President & Head of Center for Machine Learning, Capital One

USE CASE: Artificial Intelligence Implementation Framework – Creating Governance and Process to Prioritize AI/ML Projects Across an Enterprise
Ramin Mobasseri, PhD, Artificial Intelligence Lead, Innovation Group, Wells Fargo

Principles of an AI-Ready Analytics Organization: Use Cases

USE CASE: Principles of an AI-Ready Analytics Organization: Experience from Fraud Management
Zsolt Sapi, Senior Vice President, Global Independent Fraud Risk Management, Citibank

USE CASE: Using AI to Monitor AI: A Framework for Concept Drift Detection
Wally Lo Faro, PhD, Vice President Data Science, Operations and Technology, Mastercard

Getting Started with AI: Customer Experience & Predicting Behavior

USE CASE CO-PRESENTATION: Conversational AI: Creating Fran
Ben Maxim, Assistant Vice President, Software Development, MSU Federal Credit Union
Ami Iceman-Haueter, Assistant Vice President, Research Digital Experience, MSU Federal Credit Union
Ashleigh Ashbrook, Assistant Vice President, eServices, Member Digital Experience, MSU Federal Credit Union

PANEL: Using Artificial Intelligence and Machine Learning to Predict Consumer Behavior for Financial Institutions
Moderator: Vishal Gossain, Vice President, AML/ATF Analytics, Global Risk Management, Scotiabank; MIT Computer Science and Artificial Intelligence Laboratory
Panelists: Dave Castillo, PhD, Managing Vice President & Head of Center for Machine Learning, Capital One
Ramin Mobasseri, PhD, Artificial Intelligence Lead, Innovation Group, Wells Fargo

Smarter Enterprise Using AI: Building New & “Tacking on” to Legacy Systems

USE CASE: Machine Learning for Data Quality Management on Big Data Platform
Jennifer Yang, MBA, Head, Data Management and Data Governance, Enterprise Data Technology, Wells Fargo

Creating a Learning System: Using AI to Build Consumer Experiences that Continuously Improve
Alex Muller, MBA, Senior Vice President, Chief Product Officer, Synchrony Financial

Making Sense of Data Using AI: Anonymous ID Stitching & Personalized Content DISCOVERY

Anonymous ID Stitching
Sridhar Raman, Product Development Leader, Intuit, Inc.

Collaborative Filtering for Personalized Content Discovery
Siddharth Mehrotra, Vice President, Technology, Citi

Portfolio Management and Smart Indexes

USE CASE CO-PRESENTATION: Smart Index Management with AI... Making Smart Index Smarter
Shihui (Sophie) Chen, Data Scientist, Machine Intelligence Lab, Nasdaq, Inc.
Xuyang (Bill) Lin, Senior Data Scientist, Machine Intelligence Lab, Nasdaq, Inc.

Trusted Digital Identity, Fraud and AML: Where Can AI/ML Help?

PANEL: Trusted Digital Identity and Consortium Data: Tackling Fraud with a Market-Wide View
Moderator: Rivka Gewirtz Little, Research Director, Global Payment Strategies, IDC
Panelists: 
Zsolt Sapi, Senior Vice President, Global Independent Fraud Risk Management, Citibank
Beth Griffin, Vice President, Healthcare Cyber & Intelligence, Mastercard
Vishal Gossain, Vice President, AML/ATF Analytics, Global Risk Management, Scotiabank; MIT Computer Science and Artificial Intelligence Laboratory