The 15th annual A-Team Group Data Management Summit New York City kicks off tomorrow with one theme prominent in the day of discussions, debates and keynote addresses: data quality.
Without good quality data organisations can’t hope to achieve their objectives, be they implementation of artificial intelligence applications, automation of essential workflows or compliance with regulatory obligations, to name just a few.
Over the course of a packed day, expert speakers drawn from the highest echelons of the financial data ecosystem will look at a wide variety of opportunities and challenges within their respective fields. At the core of them all will be getting the data quality piece right.Pressing Need
Doing so has become even more pressing as the volume of data that organisations ingest for their operations increases and the use cases to which they apply it multiplies.
“Today’s enterprises are drowning in data, but starving for insights,” said Jay Balan, global chief information officer and vice president of delivery at ChainSys Corporation.
“The challenge isn’t just about collecting data anymore—it’s about ensuring that data is clean, connected, and trusted from the start,” Balan, who will be presenting a Keynote presentation at the even, told Data Management Insight. “For financial services, “good enough” data simply doesn’t make the cut.”
Keynote Fireside
DMS NYC will begin with a Keynote Fireside Chat featuring Stephanie Zhang, MD, Head of Enterprise AI & Data Governance Products at JP Morgan, who will be interviewed by Julia Bardmesser, Adjunct Professor; NYU Stern School of Business; Founder and CEO at Data4Real.
A variety of panel discussions will take in everything from prising business value from AI and building data products to modern data architectures and regulatory reporting.
Keynote addresses will come from Amy Horowitz, GVP of Solution Sales and Business Development at Informatica; Scott Buckles, Business Unit Executive, Data Fabric at IBM; Ray Sullivan, Vice President, Product Management, Data Modernisation at Rocket Software; Joe Gits, CEO at Context Analytics; and, ChainSys’ Balan.
The event will also feature a case study examination of how organisations can make the shift to agentic AI presented by Sri Bhupatiraju, VP, Senior AI Engineer at BlackRock AI Labs.
The busy event will wrap up with the announcement of the winner of this year’s Data Management Insight Awards USA Editor’s Recognition Award for USA Data Management Industry Professional of the Year.
Survey Revelations
Recent surveys of practitioners have identified data quality as among the biggest hurdles to implementation of AI applications and other essential modern capabilities. For instance, a poll held during an A-Team Live webinar that looked at governance for AI found that most respondents cited the quality of their data as an indispensable foundational element off any setup.
The risks of not getting this right are manifold, said Sundu Rathinam, founder and chief executive of ChainSys.
“A single data quality issue in banking can mean millions in regulatory fines or damaged customer trust,” Rathinam told Data Management Insight. “Financial institutions can’t afford the 3%-8% or even higher data error rates we commonly see in legacy systems.”
A-Team Group’s Data Management Summit New York City 2025 begins tomorrow at Convene, One Liberty Plaza in Manhattan. Follow Data Management Insight for news from the event.
View our full agenda and sign up here or register below.
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