Elastic wins Google Cloud Partner of the Year for the fourth time

Following our 2023 Google Cloud Technology Partner of the Year Award, we are pleased to announce that we have been chosen for the 2024 Google Cloud Partner of the Year Award for Technology: Marketplace – Data & Analytics. This award recognizes one partner with a data and analytics product in Google Cloud Marketplace who helped mutual customers achieve outstanding business outcomes with Google Cloud.

“Google Cloud's Partner Awards celebrate the transformative impact and value that partners have delivered for customers," said Kevin Ichhpurani, corporate vice president of global ecosystem and channels at Google Cloud. "We're proud to announce Elastic® as a 2024 Google Cloud Partner Award winner and recognize their achievements enabling customer success from the past year.”

Elastic and Google Cloud remain at the forefront of innovation. Our goals are to provide our customers with technology and integrations that help them achieve outstanding business outcomes and accelerate results that matter. We have done this through close collaboration in areas such as generative AI, Marketplace integration, and joint marketing efforts.

Customers can combine the power of Google Cloud's AI/ML capabilities with Elastic data and generative AI-powered search capabilities to tackle the industry's most vexing challenges. The Elasticsearch Relevance Engine™ (ESRE) builds on Elastic's leadership in search and over two years of machine learning research and development, combining the best of AI with Elastic's text search. Elastic acts as a bridge to private enterprise data, integrating with your databases, document repositories, product catalogs, and more to help search and build the context window to be used with Vertex AI models and tooling.

This year, Elastic partnered with Google Cloud to develop a reference architecture to show retailers how to build new, conversational search experiences using generative AI with Vertex AI and the new Elasticsearch Relevance Engine (ESRE). This new approach offers users an interactive, conversational experience that summarizes pertinent data and tailors responses based on each customer's unique needs, all while drawing upon the retailer's public and internal knowledge. Customers following this reference architecture will use Vertex AI and ESRE to implement RAG (retrieval augmented generation), which improves the conversations with the Vertex large language models (LLMs), grounding the responses with contextual, real-time data. Elastic helps to eliminate hallucinations, improves the accuracy of the results, and can prevent inappropriate data from being exposed to the AI model.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

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