Structured data has always been the backbone of enterprise decision-making — but today, it’s time to go further. The combination of structured data and Generative AI has redefined how organizations innovate, automate, and gain competitive advantage.
Yet despite the promise of GenAI, structured data has remained a major blind spot. Fine-tuned models require expensive retraining to accommodate new information, and even retrieval-augmented generation (RAG) pipelines often struggle to keep up with fast-changing operational data that must be ingested, indexed, and retrieved in real time. This leaves enterprises making critical decisions based on incomplete or outdated information.
In this webinar, David Hannibal (CPO, Squirro) and Tim Baker (Managing Director, BlueSky Thinking) explore how Squirro’s operational data integration bridges this gap. You'll learn how Squirro enables GenAI systems to retrieve and reason over live structured data from across enterprise platforms without the need for constant model retraining, unlocking new levels of accuracy, speed, and business value.
What You'll Learn:
- Why structured data has been historically difficult for GenAI to fully leverage
- How real-time access to structured data solves a critical blind spot in GenAI and RAG architectures
- How Squirro’s operational data integration seamlessly feeds fresh data into GenAI systems
- Practical strategies to build dynamic, live knowledge applications without heavy retraining or re-indexing
- Real-world examples of enterprises accelerating innovation with structured data + GenAI
