Sushant Bhalerao

Much of the current conversation around Artificial Intelligence focuses on models, copilots, and intelligence layers. Yet in real enterprise environments, the success of Agentic AI  does not begin with models. It begins with data. Agentic Systems  can only reason, plan, and act based on the quality of the information they receive. When enterprise data is fragmented, outdated, inaccessible, or unreliable, AI does not fix the problem-it amplifies it. This is why Data Management for Agentic AI...

The technology world is currently fixated on the "brains" of Artificial Intelligence-the Large Language Models ( LLMs ), the chip infrastructure, and the reasoning algorithms. But while these components are vital, they are ultimately commodities. You can buy the fastest chips. You can rent the smartest models. There is one component, however, that you cannot buy. One component that determines whether your AI agent thrives or fails. That component is your Data. For business leaders moving from...

When a customer places an order on Amazon, a vast chain of decisions unfolds almost instantly. Which warehouse should fulfill the order? How should the package be routed? Should pricing or promotions adjust in real-time? These decisions are not made by humans reviewing dashboards. They are made by Autonomous AI Systems  operating continuously at a massive scale. This is a glimpse into what Agentic AI  represents. Agentic AI is not AI that merely responds to prompts. It is AI that takes...