‘Speed and context will define the future of search’

Ashutosh Kulkarni sees search entering its most critical phase with AI. Since becoming CEO of Elastic, a Dutch-American software company, he has led its expansion into high-growth markets like India, now its second-largest base, while driving innovation in semantic search, cybersecurity, and observability.

- 

Al adoption is driving a transformation in search and this shift can be viewed in two ways: how search itself is evolving and how it is enabling AI.

At the core of innovation is the LLM, it performs the reasoning, makes inferences, and generates sentences by predicting the next token.

TO EFFECTIVELY APPLY AI IN BUSINESS, IT MUST BE GROUNDED IN RELEVANT DATA, SUPPORTED BY REAL-TIME CONTEXT

To effectively apply AI in business contexts, it must be grounded in relevant data, supported by accurate, real-time context. This process is now evolving and agentic AI and agentic workflows are being used. As part of this evolution, ppeople are now talking about context engineering which enables agents to perform complex tasks with precision. As these tasks become more critical, the need for accuracy in context is essential.

Can you share some impactful use cases?