Data Dive #56: Agents of Chaos: Context, Governance, and Auditing at the Consumption Layer π΅βπ«
Data leaders from Indeed, PIMCO, definity, and Datalogz gathered at Future Frontiers to discuss how agentic AI is transforming analytics.
Agentic AI is transforming how we work with data. The guardrails need to keep up.
Agents are making it possible to complete entire workflows with the push of a button, have a conversation with data, and produce analysis that previously wasnβt considered.
But for every incredible use case that captures the imagination, there is also risk. Inaccurate information, exposure of sensitive data, and wasted resources not only undermine decision-making, but unleash chaos that scales quickly.
Data leaders explored this rapidly evolving complexity and offered actionable tips for professionals to navigate it at the latest edition of Future Frontiers, a quarterly event series organized by Datalogz. Held at the Perkins Coie law firm in New York City, the panel discussion welcomed CDOs, CIOs, CISOs, and seasoned analytics professionals for a thought-provoking evening of discussion and networking.
A panel discussion held during the event featured the following:
- Huijuan (Sunny) Zhu, Head of Data & Analytics, Strategy & Operation, Indeed
- Joay K. Singhal, former CDO at Pimco and AI Transformation Leader
- Roy Daniel, Co-Founder and CEO, definity
- Logan Havern, Co-Founder and CEO, Datalogz
π From Data Pipelines to Decisions: The Missing Link Is Trust

We govern over 1 million BI assets across enterprise deployments.
The same four problems show up everywhere:
β Duplicate reports, silently diverging
β Orphaned dashboards still feeding exec readouts
β Stale datasets with no flags on them
β No visibility into which 2% of queries are driving 60% of spend
None of this lives in the warehouse. All of it lives in the layer most governance programs ignore.
We wrote about why that gap is about to get a lot more expensive, especially if you're rolling out AI on top of your BI stack. Our recent blog breaks down what BI Observability actually covers, why data observability stops short, and what trust in the consumption layer really requires.
π€ Stop Firefighting: Build a Semantic Layer Ready for AI
Is your BI team building new capabilities, or explaining why two reports don't match? Finance says $2.1M. Sales says $2.4M. Marketing says $2.3M. Sound familiar? Same quarter, same company, three different answers.
That's not a reporting problem. It's a control layer problem. And it doesn't fix itself when AI arrives. It gets worse.
In a recent webinar, Anouk Gorris, our VP of Product, broke down exactly why this happens and what it actually takes to fix it. Not with more tooling. With a semantic layer that's discoverable, trusted, and observable. One that's ready for AI before your org goes live with copilots and realizes the foundation isn't there.
πΎ The Data Leaders Padel Cup

Weβre bringing data leaders together off the conference floor and onto the court.
Join us in Atlanta for the inaugural Data Leaders Padel Cup, an exclusive evening for enterprise data, analytics, and AI leaders to connect through competition, conversation, and networking.
Hosted at one of Atlantaβs premier padel clubs, the event will bring together senior leaders and practitioners for tournament play, food, drinks, and meaningful conversations around AI strategy, BI transformation, and the future of data leadership.
ποΈ Tuesday, May 19
π Padel Haus, Atlanta
Only a few spots left!