Private Data Leaders Dinner: From Data Chaos to Agentic Data Workflows for Financial Services Technology and Data Leaders

Your AI strategy is only as good as the data behind it. Join us for an intimate dinner bringing together technology and data leaders from across financial services to explore how agentic AI is transforming the way enterprises govern, prepare, and activate their most critical asset — private company data.

What the evening looks like
The conversation will move through three parts, designed to build on each other:
Understanding the landscape. Brighthive and IBM watsonx Orchestrate will open with a concise, practitioner-level look at what's changing:
How agentic AI architectures — including the emerging Agent-to-Agent (A2A) interoperability protocol — are reshaping what's possible in enterprise data workflows.
You'll see how Brighthive's multi-agent platform, BrightAgent, works alongside IBM watsonx Orchestrate to automate the data engineering, data governance, and data quality work that traditionally requires large teams and long timelines — all within your own infrastructure, with data that never leaves your environment.

Learning from what's working. We'll walk through real patterns emerging across financial services:
How organizations are turning fragmented, ungoverned data estates into governed, AI-ready foundations that support trusted agentic data workflows in production — not just in a lab.
This is the practical layer: what the architecture looks like, where the governance guardrails sit, and what it takes to get from "interesting pilot" to "this runs our reporting."

Shaping what comes next — together. The final portion of the evening is an open, peer-driven discussion.
What are the blockers you're facing? Where are the organizational seams between data engineering, compliance, and AI strategy?
What would it look like to operationalize agentic data workflows in your environment in the next six to twelve months?
The goal isn't to pitch — it's to pressure-test ideas with people who understand the stakes.

Why this room, why now
This dinner is designed to give you a head start: frameworks you can take back to your teams, peer relationships that outlast the evening, and a clearer picture of how Brighthive and IBM are building the stack that makes agentic AI actually work in regulated environments.
This is not an evening with boring product demos that put you sleep.
It's a working conversation among peers navigating the same challenge: how to operationalize AI when the data layer isn't ready — and how to do it in a way that meets the compliance and security bar financial services demands.
An evening of peer conversation, practical insight, and good food.
Who is this for?
Chief Data Officers & Data Leaders: You're under pressure to make enterprise data AI-ready while maintaining governance — and you don't have the headcount to do it manually at scale.
CTOs & VP Engineering: You're evaluating agentic architectures and need to understand how multi-agent platforms and A2A protocols fit into your existing infrastructure without creating new integration debt.
Chief Information Officers: You're accountable for moving AI from pilot to production and need a governance-first approach that satisfies compliance, security, and your board — simultaneously.
Heads of Data Engineering & Architecture: You're managing fragmented data estates across dozens of systems with small teams, and you need to see what autonomous data pipelines and governed agentic workflows look like in practice.
Innovation & AI Strategy Leaders: You're charting the roadmap for agentic AI adoption in a regulated environment and want to pressure-test your approach with peers who are navigating the same constraints.
Technology Leaders at PE-Backed & Growth-Stage Financial Services Firms: You're operating under cost consolidation pressure and need to do more with leaner teams — making autonomous, governed data workflows a strategic priority, not a nice-to-have.
Spaces are limited. By invitation only.