Data and analytics leaders are turning to AI agents to automate data analysis and drive actionable insights with minimal human effort. The success of agentic analytics hinges on addressing the challenges of integration and reliability. In this session, discover how the model context protocol (MCP) can be used with knowledge graphs to solve these challenges and create scalable solutions.
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Speaker
Andrés García-Rodeja
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talks
Andres Garcia-Rodeja is a Senior Director Analyst at Gartner, specializing in Analytics and Artificial Intelligence. He partners with Data and Analytics leaders to define strategy and build robust portfolios, covering AI strategy, business value realization, operating models, organizational design, AI-ready data, decision intelligence, generative and agentic AI, as well as analytics and AI governance and literacy.
Andres guides organizations in leveraging data and AI for measurable business outcomes, offering an end-to-end vision of the data, analytics, and AI ecosystem. He has a particular focus on bridging the gap between business objectives and technical capabilities through Knowledge Graphs, Semantic Layers, and product-oriented delivery models.
Bio from: gartner-data-analytics-us-2026
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