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Sumit Agarwal
VP Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- AI Engineering
Speaker Bio
Sumit Agarwal is a technologist with a practitioner mindset and extensive experience on solutions implementations across data and AI technologies. He has a research focus on Artificial Intelligence, Machine Learning, Advanced Analytics and Data Science. He provides guidance on AI topics including end-to-end solution implementations, architectures, frameworks and best practices related to cloud AI, responsible AI (explainability, privacy, fairness, adversarial robustness), skills development and organization structure, governance, technical strategy and open-source components.
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Sessions
Monday, March 08, 2027 04:30 PM - 05:00 PM EST
AI Agents and Data Management Platforms: Emerging Need for a Data Plane for Agents
Sumit Agarwal,
VP Analyst, Gartner
AI agents require more than simple access to data. To be truly effective, they need a data plane that can support memory management, vector search, metadata enrichment and graph-based mapping across diverse data sources and entities. This session explores how these capabilities create the context, connectivity and intelligence agents need to reason over data, maintain continuity and deliver more accurate and useful outcomes at scale.
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Wednesday, March 10, 2027 01:15 PM - 01:45 PM EST
How to Decide Between Open and Closed AI Models
Sumit Agarwal,
VP Analyst, Gartner
LLM providers are rapidly releasing more capable models but rising usage leads to increasing costs. Organizations must weigh small versus large models, open-weight versus proprietary services and self-hosting versus managed offerings. Regulatory, sovereignty, geopolitical considerations and self-hosting constraints add complexity to the model selection decision. This session explores these challenges and introduces a practical framework for making model decisions.
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