Using AI to decipher unstructured data increases productivity

The challenge is how companies can enable their AI models to locate, analyze and use this data from any source within the company.

Achieving this requires more than traditional keyword mapping. It requires an AI-driven and contextual search platform. This is where effective context engineering becomes crucial. It is the process of structuring and enriching large amounts of information so that AI models can not only find the right data, but also understand its meaning, relationships, and relevance to a specific query.

“The era of conversational AI has permanently raised the bar for search,” says Pell. “Everyone today expects to ask complex questions and receive relevant answers. Brands that continue to rely on outdated keyword searches create frustrating experiences. Elastic bridges this gap by combining semantic understanding with keyword precision, making it possible to capture a user’s true intent and provide them with what they are actually looking for.”