Keep, Add, Drop: The Data Quality Playbook When AI Shows Up
The next topic in Ataccama’s Data Think Tank series covers the questions so many data leaders are grappling with when it comes to data and AI: Which of your current practices still earn their place? What do you need to add? And what’s quietly ready for retirement?
We’ll kick things off with a bold claim: half of a typical data quality rulebook does nothing for AI.
Whether you agree or not, it’s a great starting point for hearing how other data teams are rethinking their approach.
Your host for this session is Julia Bardmesser, Founder and CEO of Data4Real. Julia is a well-known keynote speaker, author of From Data to Dollars: Turning Data Strategy into Business Value, and a professor at NYU teaching data management and strategy. Julia has spent more than 25 years leading data and AI transformations at Citi, Deutsche Bank, Voya Financial, Freddie Mac, and FINRA. She’s known for speaking candidly about what works, what fails, and how to make it stick.
We’re keeping this group small on purpose, so seats are limited. Request your invitation now to join us on October 30.
Join Ataccama for our virtual Think Tank to:
- Hear what your peers are keeping, adding, and dropping from their data quality playbooks.
- Learn where other teams are using automation and continuous monitoring to replace manual effort.
- Walk away with fresh ideas drawn from the group’s collective experience.
How it works
- Request your invitation. We review every request to keep the room small and senior.
- Once approved, you’ll receive a confirmation email and a calendar hold with the date, time, and Zoom meeting link.
- Join us on Friday, October 30 at 1:00 PM ET for a candid, off-the-record discussion with your peers.
Hosted by
Julia has spent more than 25 years leading complex transformations inside some of the world’s largest financial institutions, including Citi, Deutsche Bank, Voya Financial, Freddie Mac, and FINRA. At Voya, she led the enterprise transformation that turned data and analytics from cost centers into growth engines, laying the foundation for scalable AI and regulatory agility across the firm. Today, as Founder and CEO of Data4Real, she advises executive teams at global banks, fintechs, and high-growth companies on building AI and data strategies that deliver real results. She’s also an author, an NYU professor, and a sought-after keynote speaker at global conferences. Her recognition includes CDO Magazine’s Global Data Power Women (three years running), the WLDA Changemaker in AI Award, and Engatica’s Top 200 Global Business and Tech Innovators.