Featured Session & Speakers

We're taking the stage alongside Gartner and leading data practitioners to showcase how organizations are enabling trusted AI at scale. Don't miss these sessions:

Lenny Rosenfeld

Lenny Rosenfeld,
VP Data Science & Software Engineering at Nasdaq

Barr Moses

Barr Moses
CEO, and co-founder at Monte Carlo

Moving Fast Without Breaking Trust: Scaling Reliable Data & AI

March 10, 2026 | 11:30 AM - 12:00 PM EST 

Speakers:
Lenny Rosenfeld, VP Data Science & Software Engineering at Nasdaq
Barr Moses, CEO at Monte Carlo

As more organizations feel the pressure to deploy AI in production, their leaders face a critical challenge: moving faster without sacrificing reliability. This panel brings together data + AI leaders to discuss how a proactive approach to data foundations empowers their teams to deliver reliable AI at scale. This discussion will explore the relationship between strategy, structure, and tooling to drive business impact and work smarter.

Trusted Agents: Delivering Reliable Data + AI Systems At Scale

March 9, 2026 | 4:05 PM - 4:20 PM EST

Speaker: Barr Moses, CEO at Monte Carlo

In 2026, data + AI leaders will be measured by the success of AI initiatives. So, how can teams move beyond failing pilots and into reliable, production-grade AI? This session will explore how to monitor critical components of Agents—inputs, operational metrics, and outputs—to ensure they’re trusted and well-adopted. Attendees will learn best practices for leveraging data + AI observability to close the loop between data inputs and AI outputs.

The Road to Reliability Starts Here - Booth #807

Stop by our booth to see live demos of how Monte Carlo helps teams start their data + AI reliability journey:

  • Automatically detect, triage, and resolve data incidents with AI-powered observability.
  • Deliver reliable, high-quality data to power analytics, AI models, and executive decisions.
  • Accelerate data trust with automated lineage, impact analysis, and intelligent alerts.
The Road to Reliability Starts with Monte Carlo

Trusted by the Best

Some of the world’s most data-driven organizations rely on Monte Carlo to power their data platforms and AI initiatives.

M&T Bank

Building trusted, compliant data pipelines in the cloud with Monte Carlo.

“With Monte Carlo, we’ve been able to detect issues faster, ensure data reliability, and deliver trusted insights across our business.”


MorningStar

Ensuring consistent, high-quality data delivery to power financial intelligence.

“Monte Carlo’s observability gives us full visibility across our pipelines — improving trust and speed for data-driven decisions.”


Nasdaq

Scaling data operations for mission-critical financial systems with Monte Carlo.

“Our teams can now focus on innovation instead of firefighting. Monte Carlo helps us maintain data quality and uptime at enterprise scale.”



See You in Orlando!

We can’t wait to connect with you at Gartner Data and Analytics Summit 2026. Stop by Booth #807 to see how data + AI observability with Monte Carlo can make your data reliable, scalable, and AI-ready.

Have a chat with one of our Data + AI Observability experts