Event Description
AI agents are only as powerful as the context, data, and architecture that support them. For enterprise leaders, this means moving beyond prototypes to production-ready systems capable of processing and reasoning the over 90% of operational data trapped in unstructured formats.
In this session, we’ll outline a practical framework for operationalizing AI agents, with a focus on securely handling unstructured data, integrating with existing enterprise systems, and maintaining governance at scale. You’ll hear how Compound AI Systems enable enterprises to safely automate complex workflows and extract value from challenging data environments.
What You’ll Learn:
- Approaches for integrating unstructured data into AI-driven workflows
- Key architectural and governance considerations for deploying AI agents in production
- Examples of how large enterprises are safely applying AI to complex operational processes
Watch On Demand
About Anant:
Anant Bhardwaj is the Founder and CEO of Instabase, an AI-native unstructured data platform that enables organizations to unlock value from all their data, including unstructured content, at scale. By combining low-code development with advanced AI, Instabase allows enterprises to automate complex workflows, supplies users with conversational AI agents, and drives insights through enterprise search. He has led the company since its inception, scaling the business to hundreds of employees on multiple continents, with more than $230M raised from investors. Anant graduated from Massachusetts Institute of Technology with a PhD in computer science, from Stanford University with a master's degree in computer science, and from Savitribai Phule Pune University with an undergraduate degree in computer science.
