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Structuring the Unstructured: Empowering AI Workflows

Wed, 23 April

As organizations rapidly adopt AI-driven workflows and agentic AI for customer interactions, the ability to provide secure, structured, and accessible data becomes critical. AI agents are increasingly serving as primary touchpoints for customer engagement, enhancing user experience while reducing customer support overhead. However, the challenge lies in structuring unstructured data effectively so that AI systems can retrieve, process, and present information accurately and securely.

This session presents a practical framework for organizing unstructured data and embedding it seamlessly into AI agentic workflows. We will explore techniques to:

  • Classify and structure unstructured data for improved AI accessibility.
  • Securely expose relevant information to AI agents while maintaining privacy and compliance.
  • Embed structured knowledge into LLM-powered agents for context-aware responses.
  • Optimize retrieval for AI-driven decision-making in real-time interactions.

Target Audience

  • AI & ML Engineers – Working on AI-powered customer interactions and agentic AI workflows.
  • Software Architects – Looking to design scalable, structured AI knowledge frameworks.
  • Data Scientists & Engineers – Interested in data structuring techniques for AI accessibility.
  • Enterprise AI & Innovation Leaders – Exploring AI-driven automation and knowledge embedding.

Attend this session to discover how structuring unstructured data can empower AI workflows, making AI agents smarter, faster, and more secure in customer interactions and decision-making.

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About the speaker

Shilpa Shivapuram

Principal Engineer, Technology for Chief Operating Office – Wells Fargo

Shilpa is a Data & AI Architect with over two decades of transformative impact across industries such as healthcare, finance, automotive, and technology. As Principal Engineer at Wells Fargo, she leads modernization and digital innovation efforts, leveraging deep expertise in cloud technologies, data governance, and AI/ML.

At Wells Fargo, she plays a key role in driving the bank’s digital strategy to meet the needs of next-generation customers through personalization, adaptability, and speed. She is responsible for implementing architectural best practices in the development of modern financial platforms, ensuring alignment with the latest technological advancements.

Shilpa is deeply committed to innovation and a product-focused mindset. A passionate learner and knowledge sharer, she frequently speaks at external conferences, including RisingAI and WomenInTech. She holds a degree in Electronics and Communication Engineering.