Latest news with #SearchAIPlatform
Techday NZ
2 days ago
- Business
- Techday NZ
Elastic named Leader in 2025 Gartner Magic Quadrant for observability
Elastic has been recognised as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second consecutive year. Gartner recognition The company earned this placement for its Elastic Observability offering after an evaluation of its Completeness of Vision and Ability to Execute. The recognition acknowledges Elastic's work in developing AI-driven capabilities, support for open standards, and the scalability and cost-efficiency of its observability platform. Santosh Krishnan, General Manager, Observability & Security at Elastic, commented on the company's approach to observability, saying: "Visibility alone isn't enough; customers need rapid context-rich insights to troubleshoot complex systems. We feel Elastic's recognition as a Leader in this year's Gartner Magic Quadrant reflects how our open, scalable architecture with AI-driven capabilities is transforming observability from a reactive tool into a solution for real-time investigations while keeping costs low." Key features highlighted The company stated that its differentiation lies in several areas, including native integration with OpenTelemetry, a built-in AI Assistant, and zero-configuration AIOps for anomaly detection. Elastic's AI Assistant leverages Retrieval Augmented Generation (RAG) technology to connect with enterprise knowledge, supporting incident resolution through natural language queries. This allows operational teams to reduce time-to-insight across logs, metrics, and traces. Elastic's zero-config AIOps deploys machine learning capabilities out-of-the-box to automatically detect anomalies, forecast trends, and reveal patterns within large datasets. The piped query language, ES|QL, aims to simplify the complexity of large-scale IT investigations by enabling advanced queries across observability data. Krishnan stated that Elastic's placement in the Magic Quadrant demonstrates the effectiveness of continued investments in open standards and deployment flexibility, alongside scalable performance and cost optimisations. He described the solution's impact on organisations moving from reactive troubleshooting to real-time investigation of incidents and anomalies. Enterprise adoption Elastic's approach to observability has also been adopted by enterprises seeking to consolidate monitoring tools and improve operational efficiency. Eva Ulicevic, Director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany, shared the impact the platform has had within the organisation: "By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%. We also reduced incidents that could severely impact our business." The platform is built on Elastic's Search AI Platform, supporting the monitoring and optimisation of applications, infrastructure, and end-user experience. Elastic's Search AI Lake is designed for petabyte-scale data retention, supporting efficient storage and search for structured and unstructured data. Industry context The Gartner Magic Quadrant evaluates vendors in the observability sector based on criteria such as vision, innovation, ability to execute, and breadth of capabilities. Elastic's leadership listing for the second year underscores continued investment in tools that address the challenges of managing, searching, and analysing large volumes of operational data. Elastic's commitment to open-source standards is emphasised by its native support for OpenTelemetry, enabling organisations to standardise instrumentation and data collection processes without requiring proprietary connectors. The observability platform is positioned to support organisations as they address the growing complexity of cloud-based architectures and meet increased demand for real-time performance monitoring, anomaly detection, and automated root cause analysis.
Yahoo
29-05-2025
- Business
- Yahoo
Elastic N.V. (ESTC) Teams Up With AWS to Accelerate Artificial Intelligence Innovation
We recently published a list of . In this article, we are going to take a look at where Elastic N.V. (NYSE:ESTC) stands against other AI stocks on latest news and ratings. On May 28, Elastic N.V. (NYSE:ESTC) announced a five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate artificial intelligence innovation. Elastic N.V. is a search AI company offering cloud-based solutions. The collaboration will allow organizations to streamline their transitions into AI-native enterprises via joint product integrations and go-to-market (GTM) initiatives. This will allow customers to build generative AI-based applications faster while reducing intricacies. A group of software engineers working in an open, futuristic office. By integrating Elastic's Search AI Platform with AWS services, customers will be able to build intelligent, scalable, and secure applications by using generative AI features through Amazon Bedrock, migrating Elastic Search workloads to Elastic Cloud and AWS, saving costs, accelerating AI development, and ensuring strong data regulation. 'As the speed of generative AI adoption accelerates, search has become increasingly relevant. Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale.' Overall, ESTC ranks 9th on our list of AI stocks on latest news and ratings. While we acknowledge the potential of ESTC as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than ESTC and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
28-05-2025
- Business
- Yahoo
Elastic Signs Five-Year Strategic Collaboration Agreement with AWS to Accelerate AI Innovation at Scale
Strategic go-to-market collaboration and integrations to help customers build secure AI applications faster with combined search and generative AI capabilities SAN FRANCISCO, May 28, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced a new five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The agreement reflects a shared commitment to help accelerate organizations' transition into AI-native enterprises through joint product integrations and go-to-market (GTM) initiatives that help customers build generative AI-based applications faster while reducing complexity. Building on a foundation of strong collaboration, Elastic and AWS will continue to invest in technical integrations designed to help customers drive their AI innovation. The integrations of Elastic's Search AI Platform and AWS services will empower customers to build intelligent, scalable, and secure applications with unprecedented speed and flexibility, and will enable them to, Leverage Generative AI features across Elastic solutions using high-performing foundation models through Amazon Bedrock. Unlock support for migrating Elasticsearch workloads from on-premise data centers to Elastic Cloud on AWS Benefit from ongoing cost efficiencies when using Elastic Cloud Serverless on AWS Accelerate agentic AI as a result of the Elastic and AWS collaboration on Model Context Protocol (MCP) and agent-to-agent interoperability Build solutions that protect data across all layers for customers in highly regulated industries, including the Public Sector and Financial Services "As the speed of generative AI adoption accelerates, search has become increasingly relevant," said Ash Kulkarni, chief executive officer at Elastic. "Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale." "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation," said Ruba Borno, vice president, Specialists and Partners at AWS. "This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey." The SCA will build on the long-standing collaboration between AWS and Elastic. For example, Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground integrate with Large Language Models through Amazon Bedrock. These integrations help customers accelerate root cause analysis, synthesize complex signals into actionable insights, automate data onboarding in minutes, and simplify migration. With natural language and RAG-powered workflows, teams can interact with data more intuitively and drive faster, smarter decisions. Customers, including Generis and BigID, benefit from Elastic's work with AWS: "The strength of the Elastic and AWS partnership has been fundamental to Generis's mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries," said Mariusz Pala, CTO at Generis. "By deploying Elastic on AWS, we've reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control." "Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable," said Avior Malkukian, Head of DevOps at BigID. "The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance." This SCA comes on the heels of Elastic's recent recognition within the AWS Partner Network. In December 2024, Elastic was named the AWS Global Generative AI Infrastructure and Data Partner of the Year. It was among the first 15 AWS software partners recognized at the launch of the AWS Generative AI Competency. In recent months, Elastic was also recognized by AWS for its work in the public sector, receiving AWS competency designations for both the Government (February) and Education (May) sectors. Read the Elastic blog to learn more about the ongoing collaboration between Elastic and AWS. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. View source version on Contacts Media Contact Alexia RussellPR-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
28-05-2025
- Business
- Business Wire
Elastic Signs Five-Year Strategic Collaboration Agreement with AWS to Accelerate AI Innovation at Scale
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI company, announced a new five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The agreement reflects a shared commitment to help accelerate organizations' transition into AI-native enterprises through joint product integrations and go-to-market (GTM) initiatives that help customers build generative AI-based applications faster while reducing complexity. Building on a foundation of strong collaboration, Elastic and AWS will continue to invest in technical integrations designed to help customers drive their AI innovation. The integrations of Elastic's Search AI Platform and AWS services will empower customers to build intelligent, scalable, and secure applications with unprecedented speed and flexibility, and will enable them to, Leverage Generative AI features across Elastic solutions using high-performing foundation models through Amazon Bedrock. Unlock support for migrating Elasticsearch workloads from on-premise data centers to Elastic Cloud on AWS Benefit from ongoing cost efficiencies when using Elastic Cloud Serverless on AWS Accelerate agentic AI as a result of the Elastic and AWS collaboration on Model Context Protocol (MCP) and agent-to-agent interoperability Build solutions that protect data across all layers for customers in highly regulated industries, including the Public Sector and Financial Services 'As the speed of generative AI adoption accelerates, search has become increasingly relevant,' said Ash Kulkarni, chief executive officer at Elastic. 'Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we're enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale.' "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation," said Ruba Borno, vice president, Specialists and Partners at AWS. "This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey." The SCA will build on the long-standing collaboration between AWS and Elastic. For example, Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground integrate with Large Language Models through Amazon Bedrock. These integrations help customers accelerate root cause analysis, synthesize complex signals into actionable insights, automate data onboarding in minutes, and simplify migration. With natural language and RAG-powered workflows, teams can interact with data more intuitively and drive faster, smarter decisions. Customers, including Generis and BigID, benefit from Elastic's work with AWS: "The strength of the Elastic and AWS partnership has been fundamental to Generis's mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries," said Mariusz Pala, CTO at Generis. "By deploying Elastic on AWS, we've reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control.' "Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable," said Avior Malkukian, Head of DevOps at BigID. "The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance." This SCA comes on the heels of Elastic's recent recognition within the AWS Partner Network. In December 2024, Elastic was named the AWS Global Generative AI Infrastructure and Data Partner of the Year. It was among the first 15 AWS software partners recognized at the launch of the AWS Generative AI Competency. In recent months, Elastic was also recognized by AWS for its work in the public sector, receiving AWS competency designations for both the Government (February) and Education (May) sectors. Read the Elastic blog to learn more about the ongoing collaboration between Elastic and AWS. About Elastic: Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Business Wire
19-05-2025
- Business
- Business Wire
Elastic Brings Enterprise Data to NVIDIA AI Factories
SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced that Elasticsearch integrates with the new NVIDIA Enterprise AI Factory validated design to provide a recommended vector database for enterprises to build and deploy their own on-premises AI factories. Elastic will use NVIDIA cuVS to create a new Elasticsearch plugin that will accelerate vector search index build times and queries. 'We are obsessed with building the best vector database in the market,' said Ken Exner, chief product officer at Elastic. 'NVIDIA Enterprise AI Factory validated designs enable Elastic customers to unlock faster, more relevant insights from their data.' Elasticsearch is used throughout the industry for vector search and AI applications, with a thriving open source community. Elastic's investment to accelerate vector search on GPUs builds upon previous longstanding efforts to optimize its vector database performance through hardware-accelerated CPU SIMD instructions, new vector data compression innovations like Better Binary Quantization and making Filtered HNSW faster. "Vector databases are transforming enterprise AI by making it easier for companies to find and use information quickly,' said Pat Lee, vice president, Strategic Enterprise Partnerships at NVIDIA. 'With Elasticsearch and the NVIDIA Enterprise AI Factory reference design, enterprises can unlock deeper insights and deliver more relevant, real-time information to AI agents and generative AI applications.' Read the Elastic blog for more information on Elastic's ongoing work with NVIDIA. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
