Build & Scale Enterprise Agentic Workflows on Trusted Data Foundations
Webinar Speaker: Cal Al-Dhubaib, Research Fellow
Agentic workflows, where AI agents handle tasks autonomously and boost enterprise productivity, are only made possible with trustworthy, high-quality, and well-governed data. This session explores how effective data management provides the foundation for reliable agentic workflows, enabling enterprises to build autonomous agents.
In this session, you will hear from TDWI analysts about current trends surrounding agentic AI adoption in the enterprise today, along with top hurdles and roadblocks. Experts from Informatica and AWS will share how to integrate semantic context via metadata-driven discovery, automated data quality, and master data management. Learn why solid data management foundations and context are critical to power the agentic enterprise, and how Informatica’s purpose-built data management agents help automate and power agentic workflows through MCP and multi-agent collaboration.
Guest Speakers
Jake Burns
Executive in Residence
AWS
As an AWS executive in residence, Jake works with enterprise technology executives to share experiences and strategies for how the cloud can help them increase speed and agility while devoting more of their resources to customers. Throughout his career, Jake has led large-scale IT transformations, which today are the basis for his firm belief that any enterprise can successfully adopt the cloud and save money at the same time. While he was VP of IT operations at Live Nation, he led a large data center consolidation project that was heavily focused on cost reduction.
That experience paved the way for when, a few years later, the Live Nation CEO kicked off a modernization effort across the company, which included a mandate to go “all in” on AWS. Jake reoriented his team to form a new Cloud Services function at the company, and successfully migrated 118 applications, 668 servers, and 1PB of storage to AWS in 17 months. The migration reduced IT costs by 48% in the first year and a half—all without any migration bubble costs. Outside of work, Jake applies the same thirst for learning and trying new things to his hobbies (he considers himself a “knowledge junkie”).
Stuti Sureka
Senior Director of Strategic Ecosystems
Informatica
Stuti Sureka is the senior director of strategic ecosystems at Informatica. In this role, Stuti leads Informatica's AWS partnership globally and drives partnership strategy and execution, focusing on nurturing the AWS ecosystem across the build-market-sell pillars. Prior to Informatica, Stuti held strategic sales leadership roles at Cloud Software Group and Cognizant. Stuti is a passionate DEI advocate and serves as board chair of the Washington State Parks Foundation.
Guest Speakers NEW
Chris Adamson, CBIP
Director of Education
TDWI
Chris Adamson (CBIP) is a BI and analytics consultant, author, and TDWI’s director of education. Chris works with clients worldwide to establish BI and analytics programs, define and prioritize projects, and develop information architectures. With over 30 years of data management experience in IT, consulting, and high-tech marketing, Chris leads TDWI’s education programs and curriculum development. A recognized expert in the field, his many publications include the top-selling books Star Schema: The Complete Reference and Data Warehouse Design Solutions.
Dean Abbott
Chief Data Scientist
Appriss Retail
Dean Abbott is an internationally recognized thought leader and innovator in data science and predictive analytics, with more than three decades of experience solving problems in a wide range of vertical markets, including customer analytics, fraud detection, and survey analysis for both public and private sector organizations. Recently, he was the Bodily Bicentennial Professor in Analytics at the University of Virginia Darden School of Business in 2023-2024. He is frequently included in lists of the top pioneering and influential data scientists in the world. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UC/San Diego Data Science Certificate programs. He holds a bachelor’s degree in computational mathematics from Rensselaer Polytechnic Institute and a master’s degree in applied mathematics from the University of Virginia.