Elastic AI-Driven Data Search: Unlocking Business Insights

Advances in artificial intelligence are reshaping the way businesses leverage their data, with AI-powered data search positioning Elasticsearch BV as a leader in this movement.

By enabling organizations to unlock insights from unstructured data with its innovative AI-powered search and security solutions, Elasticsearch raises the bar for efficiency and scalability in business applications. company, according to Ash Kulkarni (photo), CEO of Elasticsearch.

Elasticsearch’s Ash Kulkarni speaks with theCUBE about the company’s innovations in AI, semantic search, and business process automation through advanced data and security solutions.

“Large language models enable this value extraction,” he said. “We’re seeing customers move from traditional search – which was text and lexical search – to semantic search. This is the first step, right? Then people wonder, “Now that I can ask these questions, can I turn this into a conversational app so I can automate some queries and so on?” ? » This is the professional version of ChatGPT.

Kulkarni spoke to CUBE Research John Furrier For theCUBE “AWS re:Invent Cloud Coverage” during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They explained how Elasticsearch leverages AI-powered data search to transform enterprise data management, from semantic search to advanced business process automation and cybersecurity.

AI-powered data search simplifies data management and automation

Elastic’s serverless vector database is a game-changer for businesses managing unstructured data, delivering unprecedented scalability and efficiency, according to Kulkarni. The database integrates with Amazon Web Services Inc., making AI-driven data search and semantic capabilities accessible to a wider range of users. This shift allows businesses to gain actionable insights without the need for deep technical expertise.

“(For) semantic search, the main thing is in the past, when you were looking for information, you had to be precise in your questions; otherwise you wouldn’t get matches,” Kulkarni said. “Now you can search for the concept, do a contextual search, and get amazing answers. And this is how human beings react. It is indeed a semantic search. Now the machine can do that, which is so powerful.

Elastic’s advancements extend beyond semantic search to retrieval-augmented generation and agent workflows. These tools help automate complex business processes, thereby reducing the need for manual effort and increasing productivity, according to Kulkarni.

“Now I can automate tasks that, in the past, involved humans reading documents and passing the analysis to the next person in the chain,” he said. “That journey is happening today, and I expect people to follow that curve, going from search to semantics, to RAG (and) then agent workflows.”

Elastic has also demonstrated its commitment to privacy, governance, and scalability through innovations such as better binary quantization. This technique reduces memory requirements for vector embeddings by 32 times, making AI solutions more cost-effective and efficient, according to Kulkarni.

“Even today the cost of inference is quite high,” he said. “We are constantly making our vector database more and more efficient. Just two weeks ago we launched a feature called Better Binary Quantization. (It) represents an integer vector embedded in a single bit without compromising the precision of the results you can obtain. This is a very advanced algorithm (and) we are the first in the industry to use it.

In security, Elastic’s AI-powered tools, powered by AI-driven data mining, fill the gaps in cybersecurity expertise. By automating complex threat detection and analysis, Elastic equips new security professionals with capabilities that would otherwise take years to develop, Kulkarni explained.

“(We’ve applied) that to the other areas we’re in, observability and security,” he said. “When it comes to security, we applied these same concepts to create a feature called Attack Discoveryand that basically gives a security operations center analyst… instead of just processing the alerts, it transforms all of those alerts, correlates them and shows you the actual attacks that are happening in their environment.

Here’s the full video interview, part of SiliconANGLE and theCUBE “AWS re:Invent Cloud Coverage”:

Photo: SiliconANGLE