Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
Elastic is dramatically rethinking how it scales data for generative AI, observability and security, with a new Search AI Lake technology that is being announced today.
Elastic got its start and is perhaps best known for its ElasticSearch search technology, which is built on top of the open source Apache Lucene project. Elastic’s use cases in 2024 expand beyond just search and also include observability as well as security. The company and its technology have also increasingly been drawn into generative AI workflows. In May 2023, the ElasticSearch Relevance Engine (ESRE) was launched combining the power of vector search with traditional search to improve search outcomes.
To date, storage for an Elastic deployment has often been coupled with compute which can potentially represent a barrier for scalability. With the new Search AI Lake technology being announced today that barrier is being removed. The Search AI Lake decouples storage and compute, allowing the technology to scale to massive data volumes while maintaining fast query performance for both regular data types as well as vectors for gen AI. In addition to the Search AI Lake, Elastic is also launching new serverless offerings for enterprise search, observability, and security. These offerings are built on top of the Search AI Lake and provide specialized user interfaces for each use case. The Search AI Lake and serverless offering are currently in tech preview.
“What we now have accomplished is complete decoupling of storage, ingestion and querying,” Ash Kulkarni, CEO of Elastic told VentureBeat in an exclusive intervi …
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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
Elastic is dramatically rethinking how it scales data for generative AI, observability and security, with a new Search AI Lake technology that is being announced today.
Elastic got its start and is perhaps best known for its ElasticSearch search technology, which is built on top of the open source Apache Lucene project. Elastic’s use cases in 2024 expand beyond just search and also include observability as well as security. The company and its technology have also increasingly been drawn into generative AI workflows. In May 2023, the ElasticSearch Relevance Engine (ESRE) was launched combining the power of vector search with traditional search to improve search outcomes.
To date, storage for an Elastic deployment has often been coupled with compute which can potentially represent a barrier for scalability. With the new Search AI Lake technology being announced today that barrier is being removed. The Search AI Lake decouples storage and compute, allowing the technology to scale to massive data volumes while maintaining fast query performance for both regular data types as well as vectors for gen AI. In addition to the Search AI Lake, Elastic is also launching new serverless offerings for enterprise search, observability, and security. These offerings are built on top of the Search AI Lake and provide specialized user interfaces for each use case. The Search AI Lake and serverless offering are currently in tech preview.
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