Alation at
Gartner Data & Analytics Summit

Scaling AI agents requires a solid knowledge foundation, not better models. Cisco has seen strong business results by deploying agents across the supply chain, helping drive efficiency and reduce latency and cost. Joe McMorrow shares lessons from demand planning to order management use cases: working backwards from business outcomes to data management, choosing what to automate first, building knowledge foundations for autonomy, and establishing governance to scale.

Session Code: SPS52

Governance today is too manual, too slow, and disconnected from business outcomes. As regulatory pressure rises and AI moves into production, many governance teams are buried in policies, requirements, and tools they can’t scale.

Join Gary Dugan, SVP, Head of Data Management Execution at Truist, and Jonathan Bruce, Vice President & Field CTO at Alation as they share how Truist is shifting from policy-driven compliance to outcome-driven governance — expressing intent once and using intelligent agents to govern critical data at scale, reduce risk, and enable AI with confidence.

Session Code: TH57

Rising costs and reimbursement gaps are putting pressure on hospital margins. Discover how to proactively identify high-cost Medicare claims and uncover preventive measures that reduce avoidable expenses and improve outcomes.

Join us to see how conversational analytics helps healthcare leaders surface insights, drive community outreach, and take action before costs escalate.

Accelerate small loan approvals with confidence. Learn how banks implement business data quality rules to ensure loan agents are working from accurate, trusted data while reducing risk and staying within approved lending parameters.

See how trusted data speeds decisions, improves consistency, and strengthens credit outcomes.

For retail banks, trust starts with protecting customers’ most sensitive financial data. With Critical Data Element (CDE) Manager, banks can identify, govern, and continuously monitor high-risk data such as account numbers, balances, and personally identifiable information - condensing what once took months into minutes. By assigning clear ownership, enforcing policies, and tracking lineage, teams gain confidence that critical data is accurate, compliant, and secure. This not only reduces regulatory and operational risk, but also strengthens customer trust while enabling responsible analytics and digital innovation.

Inconsistent carrier performance and limited visibility across brands and routes make it difficult to guarantee delivery windows and protect customer satisfaction.

Learn how to quickly identify high-performing carriers and the products they deliver using a unified carrier data product. See how supply chain teams use conversational insights to improve reliability, reduce risk, and confidently meet delivery expectations.