Gartner Chicago CDAO Community Executive Summit
Building a data foundation AI can actually rely on
Data leaders are facing an impossible mandate: scale AI instantly, guarantee accuracy, and cut costs all at the same time.
On October 21, senior data and analytics leaders will gather at the Gartner CDAO Executive Summit in Chicago to share practical strategies for navigating these exact pressures.
Meet our team
Stop by our booth or book a 1:1 meeting to tackle your top data bottlenecks:
- AI Token Inflation: Trim excess AI compute costs by defining precise business context.
- Enterprise Scale: Automate data quality across fragmented, multi-cloud environments.
- Quantifying Bad Data: Turn invisible data debt into clear metrics your CFO understands.
- Default Governance: Shift from reactive data firefighting to continuous, automated oversight.
Join our session
Trusted Data Drives Faster AI Outcomes
The companies winning at AI aren’t just building smarter models, they are building cleaner data foundations. Without governed, fit-for-purpose data, enterprise AI pilots stall, inflate budgets, or expose the business to unwanted risk.
Join Larry Hunt, Field Chief Data Officer at Ataccama, and a group of peer executives for an interactive boardroom discussion on accelerating AI outcomes with data governance built to hold up under scrutiny.
Key takeaways:
- Speed vs. Governance: Balancing fast execution with accountability and compliance.
- From Pilot to Production: Eliminating the data roadblocks that stall AI deployments.
- Scaling What Works: Lessons from organizations that successfully scale AI beyond small pilots.
Let’s connect!
Planning your 2027 data strategy? Meet us in Chicago on October 21.