Latest news with #RubaBorno
Techday NZ
4 days 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.
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.
Channel Post MEA
27-05-2025
- Business
- Channel Post MEA
SAP & AWS Unveil AI Co-Innovation Program To Create Generative AI Solutions
Amazon Web Services (AWS) and SAP have announced the launch of a new AI Co-Innovation Program to help partners build generative artificial intelligence applications and agents that help customers rapidly solve real-time business challenges. Many organizations recognize generative AI's potential to transform their business, but don't know where to start. By combining advanced generative AI technologies with enterprise resource planning (ERP) data from critical systems, companies can unlock significant enterprise value: for example, optimizing delivery routes, anticipating potential impacts to supply chain operations, or developing precise financial outlooks. Many organizations recognize generative AI's potential to transform their business, but don't know where to start. By combining advanced generative AI technologies with enterprise resource planning (ERP) data from critical systems, companies can unlock significant enterprise value: for example, optimizing delivery routes, anticipating potential impacts to supply chain operations, or developing precise financial outlooks. The AI Co-Innovation Program represents the two companies' shared vision to help partners define, build, and deploy generative AI applications tailored to their ERP workloads. The program brings together enterprise technology from SAP and generative AI services from AWS with professional expertise from both parties — including teams of AI experts, professional services consultants, and solutions architects — to help support customers in their implementation journeys. The program will include dedicated technical resources, cloud credits, and more to support the development, testing, and deployment of industry-specific applications. 'AWS and SAP's long-standing partnership has helped customers accelerate their cloud journey and unlock more value from their business data,' said Ruba Borno, vice president of Specialists and Partners at AWS. 'Our AI Co-Innovation Program is a significant next step that will give organizations the security and flexibility to build generative AI applications with Amazon Bedrock that can analyze and act on their most critical SAP data. This will help customers transform decades of business information into actionable insights while accelerating their path to becoming more agile, data-driven organizations.' 'Through the AI Co-Innovation Program with AWS, we're enabling businesses to solve their most complex operational challenges with precision and speed,' said Philipp Herzig, CTO and chief AI officer at SAP. 'By combining the power of our fully integrated platform with SAP BTP and our deep business process expertise with AWS's comprehensive generative AI capabilities, partners can now create purpose-built AI agents that solve their most pressing challenges — identifying financial anomalies in real time to automatically optimizing supply chains during disruptions.' The program also allows partners to rapidly build and scale generative AI applications using the latest generative AI tools and services from Amazon Bedrock, including large language models (LLMs) such as Amazon Nova and Anthropic Claude in AI Foundation on SAP Business Technology Platform (SAP BTP). 0 0
