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Featured Sessions & 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:
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Thierry Martin,
Head of Data & AI at Toyota
Jason Medd,
Sr Director Analyst at Gartner
Applying Toyota Production System Principles to Trusted Data & AI
12 May 2026 | 3:00 PM - 3:30 PM BST
Speaker:
Thierry Martin, Head of Data & AI at Toyota
At Toyota Motor Europe, high-quality data is business critical. Thierry Martin, Head of Data & AI will share how his team applies Toyota Production System (TPS) principles to enterprise data and embeds data + AI observability into their 5S methodology. Attendees will learn how proactive monitoring, alerting, and a PDCA approach to closing the loop drives continuous data quality improvement and builds trust in data, BI, and AI across global operations.
Ask the Expert: What is Data Observability? Why is it Important to Make Your Data AI-Ready?
11 May 2026 | 2:30 PM - 3:15 PM BST
Speaker:
Jason Medd, Sr Director Analyst at Gartner
Data is the lifeblood of enterprises in the digital era, underpinning everything from operational decisions to revolutionary AI models. However, the promise of AI can only be fulfilled if the underlying data is trustworthy, accurate and readily available. This session provides an in‐depth exploration of data observability — what it is, why it is essential and how it plays a pivotal role in making your data AI-ready.
The Road to Reliability Starts Here
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.
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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.
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.”
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.”
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 London!
We can’t wait to connect with you at Gartner Data and Analytics Summit 2026. Stop by our booth to see how data + AI observability with Monte Carlo can make your data reliable, scalable, and AI-ready.