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Fri, April 24 at 11:00 AM - 12:00 PM GMT+5:30DataTech DeepTech OpsTech
In the era of generative AI, data without context is just noise. This session explores how to transform raw, unstructured data into AI-ready assets through context engineering and semantic understanding. Join Sudheesh (IBM Distinguished Engineer & Master Inventor) and Sachin as they demonstrate a practical architecture using open-source tools— Docling for document intelligence, ContextForge for metadata enrichment, OpenSearch for semantic search, and Langflow for visual workflow orchestration. Learn the three core engineering principles that separate traditional data pipelines from intelligence pipelines: preserving context at every transformation, leveraging semantic relationships to drive data structure, and using open standards to enable flexibility. Whether you're building RAG systems, knowledge graphs, or AI agents, this talk provides actionable insights on making your data truly AI-consumable. Stop building data pipelines. Start building intelligence pipelines.
What You Will Learn
Who Should Attend
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Sachindra Joshi is an IBM Distinguished Engineer leading research in data, automation, and conversational AI within the IBM Software Innovations Lab. He collaborates closely with IBM Research and various business units to develop state-of-the-art conversational technologies and drive their integration into enterprise products. With a strong research background, Sachindra has authored over 70 papers in leading journals and conferences and holds more than 60 patents. Prior to joining IBM Research, he earned his Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Bombay in 2000.
Sudheesh is an IBM Distinguished Engineer at IBM Software, where he owns the Gen AI Data Architecture responsibility. In this role, he works closely with worldwide leadership teams to formulate strategies on how to operate the data layer in today's fast-changing technology landscape. His expertise lies in navigating the complexities of data architecture in the context of generative AI, ensuring organizations can effectively leverage their data assets in an era of rapid technological transformation.
A recognized Master Inventor, Sudheesh has an exceptional track record of innovation with approximately 150 USPTO filed patents and over 80 granted patents. His extensive patent portfolio demonstrates his continuous contributions to technology innovation and thought leadership, making him a distinguished voice in the fields of data architecture, artificial intelligence, and enterprise technology strategy.
