ASK THE EXPERT WEBINAR SERIES

Power AI Agents With SAS AI and Real-Time Analytics Using Model Context Protocol

Join this webinar to explore how AI agents can move beyond dashboards to trigger operational outcomes, including predictions, visualizations and workflows.

Tuesday, Sept. 1 · 11 a.m. ET | 5 p.m. CET · Cost: Complimentary

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About the webinar

You’re not hallucinating – you can have confident, trustworthy AI grounded in real-time data and models that trigger operational outcomes. With SAS Event Stream Processing and Model Context Protocol (MCP), you can connect natural-language AI experiences to governed, real-time data, analytics and actions.

You will learn how:

  • AI grounded in real-time data and models, not hallucinations, instills confidence.
  • MCP makes real-time analytics easily accessible to AI agents.
  • Natural-language interfaces enable non-technical users to interact with complex operational systems.

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About the experts


Rik de Ruiter

Senior Systems Architect, SAS

Rik is part of the SAS IoT division, where he is dedicated to improving real-time inferencing and open source integration for IoT applications. His goal is to make it easier for organizations to solve real-world business challenges using AI.


Aaron White

Principal Product Manager, Foundations, SAS

Aaron is part of the solutions product management group at SAS. His core mission is to bridge customer needs and market insights with the development of SAS Event Stream Processing, ensuring the product aligns with the company's strategic objectives.


Andrey Matveenko

IoT Solution Advisor, Architect and Developer at SAS UK

Andrey brings more than 10 years of experience in IoT, artificial intelligence and advanced data platforms. His background spans roles at GlowByte Consulting and SAS, with a focus on connected intelligence, real-time analytics, digital twins and edge-to-cloud AI integration.


Frédéric Combaneyre

Head of IoT Support, Enablement and Innovation, SAS

Frédéric is a global expert and lead advisor for streaming data initiatives. He has led real-time data streaming architecture for multinational organizations across industries, helping them detect fraud, improve marketing and develop Internet of Things (IoT) initiatives. He is a SAS Event Stream Processing pioneer and works closely with SAS R&D on streaming analytics and IoT solutions.


Michael McCahill

Senior Product Manager, IoT and Event Stream Processing, SAS

Before joining SAS, Michael served as a police officer and detective. He later joined SAS as Product Manager for SAS Law Enforcement Intelligence before moving to SAS Event Stream Processing, where he helps drive the strategy and roadmap for real-time AI and analytics.

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