How Financial Institutions Can Manage Data for AI Success | Experts

Event Overview

AI holds tremendous promise for financial institutions, from enhancing customer interactions to combating fraud and sophisticated cyber threats. However, to capitalize on these and other AI opportunities, IT and business leadership will need to invest in their data capabilities. In this episode of WWT Experts, former Bank of America CTO and WWT consultant David Reilly talks with data security practice lead Hau Tran about how financial institutions can mature their data strategies to support AI adoption.

Featured Speakers

David Reilly

World Wide Technology

Consultant

David has a passion for helping organizations achieve their goals. He guides companies to take advantage of digital transitions, prepare for the unexpected, and adapt to the transformation of their industries. David has worked for some of the largest financial institutions in the world, driving business results through digital transformation. He knows how quickly the adoption of technology transforms everyday business; from finance to customer service, from how we learn to how we collaborate.

Hau Tran

World Wide Technology

Practice Lead

Hau is a 27+ year veteran and thought-leader in cybersecurity and technology who spent his entire professional career focused exclusively on security around data and data controls including data governance/compliance, data access, data data management, data lifecycle, and security that should encompass all data - "Data to the N'th".

What to expect

This episode of WWT Experts is part of a four-part series focused on how financial institutions can achieve new levels of technology success. Episodes are published exclusively for registered users of the wwt.com platform. The series will cover:

Getting started with AI use cases
Maturing data capabilities for AI success
Making technical debt an organizational priority
Strategies for achieving robust cyber defense

Goals and Objectives

Learn how IT and the business can become data partners; discover best practices related to data policies, governance and sources of truth; understand what's needed for accurate, actionable data; hear how industry peers are using data for AI success.

Who should attend?

CIOs and CDOs wanting to establish a sound data strategy; data scientists and analysts interested in understanding how to leverage data more effectively for AI applications; any IT or industry leader interested in data and AI best practices.