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Elastic & AWS partner to enable secure generative AI apps
Elastic & AWS partner to enable secure generative AI apps

Techday NZ

time5 hours ago

  • Business
  • Techday NZ

Elastic & AWS partner to enable secure generative AI apps

Elastic has entered into a five-year strategic collaboration agreement with Amazon Web Services (AWS) to support organisations in building secure, generative AI-powered applications with greater speed and reduced complexity. The agreement is focused on joint product integrations and go-to-market initiatives that aim to enable customers to transition into AI-native enterprises more efficiently. It brings together Elastic's Search AI Platform and AWS services, with a particular emphasis on facilitating work in highly regulated sectors such as the public sector and financial services. Under this agreement, the companies will invest in technical integrations, including support for Amazon Bedrock and Elastic Cloud Serverless, to help customers drive AI innovation. The collaboration is designed to allow customers to leverage generative AI features by making use of high-performing foundation models available through Amazon Bedrock. It also offers support for migrating Elasticsearch workloads from on-premise data centres to Elastic Cloud on AWS, ongoing cost efficiencies for users of Elastic Cloud Serverless, and enhanced agentic AI capabilities through work on Model Context Protocol (MCP) and agent-to-agent interoperability. Commenting on the collaboration, Ash Kulkarni, Chief Executive Officer at Elastic, said: "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." Ruba Borno, Vice President, Specialists and Partners at AWS, said: "Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation. 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 collaboration is already producing results for organisations such as Generis and BigID. Mariusz Pala, Chief Technology Officer at Generis, said: "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. 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." Avior Malkukian, Head of DevOps at BigID, said: "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. 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." The integration of Elastic's AI-powered solutions with AWS services includes features such as Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground, all of which interact with Large Language Models through Amazon Bedrock. These integrations help customers to conduct root cause analysis more quickly, synthesise complex data signals, automate data onboarding, and simplify the migration process. Natural language and retrieval-augmented generation (RAG)-powered workflows are designed to enable teams to interact with their data more intuitively and support faster decision-making. Elastic's relationship with AWS has been recognised within the AWS Partner Network. In December 2024, Elastic was named AWS Global Generative AI Infrastructure and Data Partner of the Year, and it was among the first group of AWS software partners acknowledged with the AWS Generative AI Competency. The company has also received AWS competency designations for the government and education sectors earlier this year.

Elastic N.V. (ESTC) Teams Up With AWS to Accelerate Artificial Intelligence Innovation
Elastic N.V. (ESTC) Teams Up With AWS to Accelerate Artificial Intelligence Innovation

Yahoo

time3 days ago

  • 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

ValueLabs Announces Strategic Pivot—Exclusively Offering Outcome-Based Engagements Globally
ValueLabs Announces Strategic Pivot—Exclusively Offering Outcome-Based Engagements Globally

Korea Herald

time3 days ago

  • Business
  • Korea Herald

ValueLabs Announces Strategic Pivot—Exclusively Offering Outcome-Based Engagements Globally

Company shifts away from Time & Materials contracts for all new clients, embracing outcome-driven, AI-powered delivery models. HYDERABAD, India, May 30, 2025 /PRNewswire/ -- ValueLabs, a global leader in Agentic AI Services, today announced a strategic pivot, transitioning fully away from traditional Time & Materials (T&M) contracts for new clients across all major markets. This milestone reinforces ValueLabs' commitment to outcomes, innovation, and its transformative Enterprise OS platform—AiDE®. As of today, all new engagements with ValueLabs will leverage outcome-based delivery models, including Managed Services (MSP), fixed-price engagements, productivity-linked pricing, and value-sharing agreements. This strategic shift aligns ValueLabs' incentives with clients, ensuring measurable business impact, predictable outcomes, and accelerated value realization. The decision comes on the heels of rapid adoption and widespread success of AiDE®, ValueLabs' proprietary Agentic AI platform. AiDE acts as an Enterprise Operating System, embedding autonomous AI agents into core enterprise workflows across software engineering, business operations, analytics, and strategic workflows, transforming clients into AI-native enterprises. Speaking about this strategic pivot, Arjun Rao, Founder and Chairman of ValueLabs, said, "The era of billing hours is behind us. Our clients don't just want work done—they want measurable outcomes, faster innovation, and business results that matter. With AiDE, we have the confidence, capabilities, and credibility to deliver exactly that. This shift isn't merely operational; it redefines how technology partners add real value in the Agentic Era." Sam Alva, CEO of ValueLabs, reinforced the strategic vision: "We've already proven that AiDE-driven delivery significantly accelerates outcomes and improves productivity. We are now aligning our commercial models to reflect this reality. Outcome-based engagements ensure our success is directly tied to our clients' outcomes. It's a win-win approach powered by our platform-led, Service-as-Software model—where AiDE transforms everything, everywhere, all at once." This announcement positions ValueLabs at the forefront of a fundamental industry shift—from traditional service delivery, towards innovative, outcome-aligned partnerships. Clients from across verticals like Commerce, Healthcare, Insurance, and Travel have already experienced substantial benefits from this model, achieving tangible business impacts including increased speed-to-market, improved operational efficiencies, and measurable financial returns. About ValueLabs ValueLabs & AiDE®: Enterprise OS of the Agentic Era From Engineering to Everything—custom agents powering AI-native enterprises. Founded in 1997, ValueLabs is a global Agentic AI Services firm helping enterprises reinvent themselves as AI-native organizations. At the core of this transformation is AiDE®—ValueLabs' proprietary platform and the Enterprise Operating System for the Agentic Era. AiDE integrates custom-built autonomous AI agents seamlessly across software engineering, business operations, analytics, and strategic workflows. With over 7,000 professionals serving more than 300 enterprise clients globally, ValueLabs leverages AiDE and innovative Service-as-Software delivery models to unlock productivity, agility, and sustainable competitive advantage.

ValueLabs Announces Strategic Pivot--Exclusively Offering Outcome-Based Engagements Globally
ValueLabs Announces Strategic Pivot--Exclusively Offering Outcome-Based Engagements Globally

Cision Canada

time4 days ago

  • Business
  • Cision Canada

ValueLabs Announces Strategic Pivot--Exclusively Offering Outcome-Based Engagements Globally

Company shifts away from Time & Materials contracts for all new clients, embracing outcome-driven, AI-powered delivery models. HYDERABAD, India, May 29, 2025 /CNW/ -- ValueLabs, a global leader in Agentic AI Services, today announced a strategic pivot, transitioning fully away from traditional Time & Materials (T&M) contracts for new clients across all major markets. This milestone reinforces ValueLabs' commitment to outcomes, innovation, and its transformative Enterprise OS platform—AiDE®. As of today, all new engagements with ValueLabs will leverage outcome-based delivery models, including Managed Services (MSP), fixed-price engagements, productivity-linked pricing, and value-sharing agreements. This strategic shift aligns ValueLabs' incentives with clients, ensuring measurable business impact, predictable outcomes, and accelerated value realization. The decision comes on the heels of rapid adoption and widespread success of AiDE®, ValueLabs' proprietary Agentic AI platform. AiDE acts as an Enterprise Operating System, embedding autonomous AI agents into core enterprise workflows across software engineering, business operations, analytics, and strategic workflows, transforming clients into AI-native enterprises. Speaking about this strategic pivot, Arjun Rao, Founder and Chairman of ValueLabs, said, "The era of billing hours is behind us. Our clients don't just want work done—they want measurable outcomes, faster innovation, and business results that matter. With AiDE, we have the confidence, capabilities, and credibility to deliver exactly that. This shift isn't merely operational; it redefines how technology partners add real value in the Agentic Era." Sam Alva, CEO of ValueLabs, reinforced the strategic vision: "We've already proven that AiDE-driven delivery significantly accelerates outcomes and improves productivity. We are now aligning our commercial models to reflect this reality. Outcome-based engagements ensure our success is directly tied to our clients' outcomes. It's a win-win approach powered by our platform-led, Service-as-Software model—where AiDE transforms everything, everywhere, all at once." This announcement positions ValueLabs at the forefront of a fundamental industry shift—from traditional service delivery, towards innovative, outcome-aligned partnerships. Clients from across verticals like Commerce, Healthcare, Insurance, and Travel have already experienced substantial benefits from this model, achieving tangible business impacts including increased speed-to-market, improved operational efficiencies, and measurable financial returns. About ValueLabs ValueLabs & AiDE®: Enterprise OS of the Agentic Era From Engineering to Everything—custom agents powering AI-native enterprises. Founded in 1997, ValueLabs is a global Agentic AI Services firm helping enterprises reinvent themselves as AI-native organizations. At the core of this transformation is AiDE®—ValueLabs' proprietary platform and the Enterprise Operating System for the Agentic Era. AiDE integrates custom-built autonomous AI agents seamlessly across software engineering, business operations, analytics, and strategic workflows. With over 7,000 professionals serving more than 300 enterprise clients globally, ValueLabs leverages AiDE and innovative Service-as-Software delivery models to unlock productivity, agility, and sustainable competitive advantage.

Blue Owl Invests Additional $750M in AI Data Center Joint Venture
Blue Owl Invests Additional $750M in AI Data Center Joint Venture

Yahoo

time4 days ago

  • Business
  • Yahoo

Blue Owl Invests Additional $750M in AI Data Center Joint Venture

On May 28, Blue Owl Capital Inc. (NYSE:OWL), Chirisa Technology Parks (CTP), and PowerHouse Data Centers have finalized a $750 million transaction, marking a key phase in their $5 billion joint venture focused on AI/HPC data center development. Initially launched in August 2024, this partnership aims to establish turnkey AI infrastructure, supporting CoreWeave and other hyperscale and enterprise customers. A financial planner pointing to a graph of investment trends, demonstrating the company's expertise. The partnership is currently developing a 350-acre campus in Chesterfield, VA, where construction began in 2024 for an initial 120MW of new critical facilities. These facilities will support CoreWeave, one of the fastest-growing cloud infrastructure providers for AI workloads. Delivery is scheduled for 2025 and 2026. The campus features cutting-edge design standards. It is built specifically for dense GPU clusters and advanced computing technologies required for large-scale AI customers. It integrates CTP's proprietary 'direct-on-chip' liquid cooling design, which is almost twice as energy efficient as traditional air-cooled systems. 'This is another pivotal milestone in our $5 billion strategic partnership with CTP and PowerHouse,' said Marc Zahr, Global Head of Real Assets at Blue Owl. 'We're delivering on our vision to create foundational infrastructure for the next generation of AI-native cloud companies like CoreWeave.' Despite its strong market potential, the partnership faces investment risks such as high capital expenditure, an extended project timeline stretching into 2026, and dependence on CoreWeave's continued success in AI adoption. However, its ability to efficiently deliver turnkey solutions positions it well for sustained long-term growth. Chirisa Technology Parks (CTP) specializes in AI/HPC data center deployments, managing over 500,000 SF of built capacity with a 1.6 GW pipeline in development. PowerHouse Data Centers, owned by American Real Estate Partners (AREP), leads next-gen hyperscale development, rapidly expanding across six major U.S. markets. Blue Owl Capital Inc. (NYSE:OWL) is an American alternative investment management firm. It offers flexible, long-term capital solutions through diversified platforms such as direct lending, credit strategies, GP strategic capital, and real assets. The company works with institutional investors, financial advisors, and alternative asset managers, providing tailored financing for mid-market companies and other borrowers. While we acknowledge the potential of Blue Owl Capital Inc. (NYSE:OWL) 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 OWL and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. 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

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