From Dashboards to Agentic Decision Systems: Designing the Enterprise Intelligence Layer

About this session

Enterprises have spent decades building dashboards and analytics platforms, but most systems still stop at insight generation. This talk explores the architectural shift from dashboards to agentic decision systems — where semantic layers, LLM reasoning, orchestration, and enterprise data platforms work together to enable AI systems that can understand context, execute workflows, and support business decisions. Drawing from real-world analytics engineering patterns, this session examines the architecture, challenges, and lessons learned when moving from AI prototypes to production-grade enterprise intelligence.

Speaker

• Mahitha Sudhakar Voola, Senior Analytics Engineer, JLL

Key takeaways

• Understand the architectural shift from traditional BI dashboards to agentic AI systems, and why this changes how enterprises make decisions.
• Learn the core building blocks of production-ready enterprise AI, including semantic layers, orchestration, memory, and LLM-powered reasoning.
• Discover practical strategies for deploying AI solutions that are scalable, reliable, and aligned with real business workflows rather than isolated proofs of concept.

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