EXECUTIVE ROUNDTABLE

Building the data foundations for the era of AI-powered banking

Accelerating data management innovation for enterprise AI

September 14 | 1:50pm CDT | Radisson Blu Aqua Hotel, Chicago

Banks understand the promise of AI, but many initiatives struggle to move beyond the pilot stage because data remains fragmented, difficult to govern, and inaccessible at the speed AI requires. As AI becomes embedded in critical banking workflows, the quality, accessibility, and resilience of the underlying data foundation has become a competitive differentiator.

For banks, AI cannot be separated from risk and trust. Whether supporting fraud detection, real-time payments, or customer intelligence, AI is only as effective as the data behind it. This roundtable brings together banking technology, data, and infrastructure leaders to discuss how modern data architectures can help organizations scale AI in production while maintaining governance, operational resilience, and regulatory confidence.

Take part in an exclusive, closed-door conversation with your fellow senior leaders, conducted under the Chatham House Rule. This private 60-minute session is dedicated to open, honest dialogue about the market’s most pressing challenges and emerging opportunities.

Welcome and participant introductions

Discussion:

Why AI Stalls Before Production

  • The AI production gap: how are legacy architectures and data management processes stalling AI pilots and holding banks back from realizing ROI
  • Reducing data latency: how can banks accelerate the ingestion, transformation, and optimization of data processing?
  • Automating data pipelines: how can banks eliminate the frictions of manual data movement?

Building AI-Ready Data Foundations

  • AI-ready data: how can banks effectively discover, classify, and contextualize unstructured data across cloud and on-prem environments to make data AI-ready at source?
  • Ensuring high-performance context memory: how can banks achieve the memory speed necessary to sustain agentic workflows and multi-step reasoning systems at scale?
  • Optimizing AI efficiency: how can banks ensure the high-performance throughput needed for AI workloads while keeping costs and power requirements down?

Closing remarks

(60 minutes)

Speakers:

Harry Wang
Harry Wang
Director Analytics
Fifth Third Bank
Richard Galvez
Richard Galvez
Director, Applied AI
Everpure

Request an invitation

This roundtable is designed for senior figures working across banking and financial services.

Fill in this short form if you meet the above criteria and would like to participate in the discussion on September 14. All invitation requests will be vetted and approved (or declined) by the organiser.

About Everpure

Everpure helps banks modernize critical services with greater resilience, control, and confidence. Powered by Enterprise Data Cloud, Everpure unifies data across on premises and cloud environments to reduce operational complexity, strengthen recovery and security, and support the platforms behind payments, fraud, digital banking, analytics, and artificial intelligence. The result is lower operational risk and a stronger foundation for banking leaders to innovate with confidence.Learn more at Everpuredata.com.

 

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