Guest Author
Dattaraj Rao is innovation and R&D architect at Persistent Systems and author of the book Keras to Kubernetes: The Journey of a Machine Learning Model to Production. At Persistent Systems, he leads the AI research lab. He has 11 patents in machine learning and computer vision.
With agentic AI, businesses are conducting business more dynamically. Instead of traditional pre-programmed bots and static rules, agents can now “think” and invent alternate paths when unseen conditions arise. For instance, using a business domain ontology like FIBO (financial industry business ontology) can help keep agents within guardrails and avoid unwanted behavior.
Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes.
In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and insurance, to retail and more.