Engineering AI-Ready Enterprise Data

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As enterprises move from AI experimentation to production, the limiting factor is increasingly not model capability, but the readiness of the data those models depend on. Most enterprises already have vast amounts of data, but it is often fragmented across databases, APIs, documents, and applications, with gaps in semantics, governance, connectivity, and discoverability. Building reliable AI systems therefore requires more than selecting the right model or adding an agent layer, it requires an enterprise data foundation designed for AI to query, learn, reason, and act on.

The talk presents a practical blueprint for building an AI-ready enterprise data foundation, with a focus on how data, knowledge, governance, and AI applications come together as an integrated ecosystem. It explores the architectural choices and mindset shifts needed to build this foundation incrementally, rather than treating AI readiness as another layer on top of existing systems. It also examines two complementary directions: Data for AI, which prepares enterprise data to support AI, and AI for Data, where AI helps prepare, enrich, and continuously improve the data foundation itself.

Agenda
5:30 - 6:00 PM - Registrations
6:00 - 7:30 PM - Talk followed with QnA
7:30 - 8:00 PM - Networking and Refreshments

Meet the Speakers
Karthika Vijayan
Solution Consultant, Sahaj Software
Dr. Karthika Vijayan has been conducting research in the field of conversational AI with voice and text data for almost a decade. Her research has been published in several journals and presented at various international conferences. Prior to joining Sahaj, Dr. Vijayan worked as a research fellow in the Department of Electrical and Computer Engineering at the National University of Singapore. She also worked as research associate in the Department of Electrical Engineering at the Indian Institute of Science, Bangalore. She obtained her PhD in Speech Signal Processing from the Department of Electrical Engineering at the Indian Institute of Technology Hyderabad in 2016. She is an active member of IEEE, ACM and APSIPA.

Sujit Kamthe
Solution Consultant
Sujit Kamthe is an engineering leader with over 16 years of experience building distributed systems, leading engineering teams, and delivering large-scale cloud-native software. His work focuses on Agentic AI and AI-assisted software engineering, with hands-on experience designing production systems that use LLMs, orchestration, structured outputs, retrieval, observability, and enterprise governance. He is interested in distributed systems, cloud architecture, engineering leadership, developer productivity, platform engineering, and system design. He regularly writes and speaks about the practical impact of AI on software engineering, particularly how it is changing architecture, engineering practices, and the role of software engineers.

🎟️ Please RSVP here to join-in for this conversation in-person.
(Note: To ensure a spot, please register through the link)