Speak at The Fifth Elephant 2026 Annual Conference

Most enterprise systems today are technically real-time such as, streaming pipelines, event-driven architectures, and low-latency dashboards that are widely adopted. Yet, these systems consistently fail at their primary goal of enabling timely, actionable decisions. In production systems like supply chain and order management platforms, events such as inventory shortages are detected in near real time, but often fail to translate into actual decisions, leading to delays and manual intervention.
This talk explores why that gap exists. The issue is not data or models, rather it is architectural. While enterprises have built strong data pipelines, they have not designed decision pipelines. This session introduces patterns for building decision layers on top of real-time systems using event-driven architectures, LLMs with retrieval (RAG), and simulation-driven approaches. It also covers common failure modes and practical constraints observed in production environments.

• Learn why real-time data systems fail to produce real-time decisions in production
• Understand how to design decision pipelines using streaming architectures, RAG, and simulation

This session is intended for data engineers, backend engineers, and AI practitioners working on real-time systems, data infrastructure, or GenAI applications. It is especially relevant for engineers trying to move beyond analytics and dashboards to building production-grade systems that drive automated or assisted decisions.

Hiti Sinha is a Delivery Consultant and Technical Lead with over 9 years of experience building large-scale supply chain and retail systems. She specializes in distributed architectures, real-time data systems, and integrating AI into production environments.

Her recent work focuses on designing decision-centric systems using GenAI, retrieval-augmented generation (RAG), and simulation pipelines to bridge the gap between data and action. She is also an inventor, a published writer and speaker on emerging patterns in AI-driven systems, including digital twins, synthetic data, and decision automation.

https://docs.google.com/presentation/d/1-4NKAJoRjztuiuJWabOQd0IY-vKFuosn/edit?usp=sharing&ouid=113820872127862610249&rtpof=true&sd=true

https://drive.google.com/file/d/1Nx5Els9mWED-sL9Q3h1jabwiVhc_Uw2a/view?usp=sharing