Milan Parikh

Title of the Talk:
Modern Enterprise Architecture: Bridging Operations, Analytics, and AI

Abstract:
The Data Architecture Gap Facing AI – AI’s growth has surpassed its original data architecture. Systems built primarily for reporting on a periodical basis and overnight batch processes are currently being used to generate real-time actionable intelligence that needs to respond to changing conditions within seconds. This has created a growing divide between what organizations expect their AI applications to accomplish versus what the current data platform technology supports.

In this Keynote presentation we will discuss the existing technology divide; evaluate how decisions regarding data ingestion, processing and coordination affect the response time and reliability of AI enabled systems and explain why moving from batch-based designs to continuous always-on, event driven architectures is no longer an option for those working at high volume. We will compare legacy data architecture technologies with modern ones to illustrate how continuously operating data platforms turn delayed insights into real-time operational intelligence. Audience members will be able to understand better the design principles, trade-offs and examples of how to build scalable data platforms supporting AI based solutions.

Bio:
Milan Parikh is an IEEE Senior Member, Fellow of BCS, Fellow of IETE, and Distinguished Fellow of SCRS. He has authored 26 scholarly publications in IEEE and Springer proceedings on federated learning, edge-cloud hybrid systems, and AI in regulated industries.

He has delivered 17 keynotes including DATA Summit 2026 Boston, AICCoNS 2026 Dubai, and IEEE IMED 2026 Malaysia. He has completed 250 peer reviews across 30+ international conferences in 8 countries. He serves as CES Innovation Awards 2026 Judge and IEEE Computer Society Awards Judge.

Milan chairs the ACM Houston Professional Chapter and mentors 3,500+ professionals. He brings 15+ years of enterprise architecture leadership across life sciences, financial services, manufacturing, and automotive sectors.