The AI race is on, but most enterprises are falling behind.
The sticking point isn’t the models themselves. It’s the lack of enterprise infrastructure that makes those models useful and trustworthy.
On Sept. 24, CData Foundations AI Day brings together leaders from Google, ServiceNow, AWS, Ellie.ai, Sisense and more to confront these realities head-on.
Context is king
A defining theme of AI Day is interoperability. Enterprises are learning that building AI in silos, whether at the data, model, or agent layer, is a dead end. The same applies to data: disconnected systems prevent AI from seeing the full context it needs to generate meaningful outcomes. Philip Stephens of Google will illustrate how Agent-to-Agent (A2A) interoperability enables multi-agent systems to collaborate across platforms and vendors, transforming both the underlying data and the agents themselves from isolated prototypes into enterprise-ready ecosystems.
That same principle of connection applies earlier in the lifecycle. Ellie.ai CEO Sami Hero will show how live metadata and AI-native modeling tools are bridging the gap between business stakeholders and technical teams. By making models and data structures interoperable with the people who rely on them, organizations can move faster and adapt more easily to change.
This same need for system context shows up in analytics. Sisense’s Daniel Schaefer will show how embedded analytics and real-time connectors let enterprises surface AI-driven insights directly inside applications, even when the broader data stack is still a work in progress. By tying analytics to both the systems that generate data and the people who consume it, organizations can deliver value from AI without waiting for full centralization.
The message is consistent: when data, models, and systems are connected end to end, enterprises can move beyond pilots and deliver AI that truly works.
No room for doubt
Another core theme of AI Day is governance and trust. As enterprises scale beyond pilots, the real challenge is not whether a model can generate output but whether the system can be controlled, audited, and trusted. Sarab Narang, Vice President of Generative AI GTM at ServiceNow, will explore how organizations can rewire their data connectivity to support autonomous agents that are safe, compliant, and aligned with enterprise workflows.
That perspective is reinforced by lessons from early-stage cloud data adoption. Harshit Kohli of AWS will share insights from some of the earliest large-scale implementations of generative AI, highlighting where initiatives stall and what governance patterns separate success from failure.
Trust is also a data problem at its core. Ataccama VP of Data Quality Jessica Smith will show how enterprises can operationalize trust at scale by unifying fragmented sources and embedding quality checks into daily workflows. She will also highlight how Ataccama extends this value to its customers through embedded CData connectivity, ensuring governed access to hundreds of data sources.
Taken together, these perspectives underline a simple truth: governance and trust are no longer compliance checkboxes. They’re the foundation for AI that delivers reliable, meaningful outputs.
Watch it all live
Foundations AI Day will prove that enterprises don’t win with models alone. Interoperability and trust are what separate failed pilots from real results.
On Sept. 24, you’ll want to be there to learn from the experts setting these standards. Join them to move beyond experimentation and into competitive advantage.
Register for Foundations
