Elastic & AWS Ink 5-Year Deal to Boost AI Innovation
In a move that is set to revolutionize the way organizations approach artificial intelligence (AI) innovation, Elastic, a leading provider of search, logging, and analytics solutions, has announced a new five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The agreement marks a significant milestone in the two companies’ long-standing partnership, reflecting a shared commitment to help accelerate organizations’ transition into AI-native enterprises through joint product integrations and go-to-market (GTM) initiatives.
The partnership will enable customers to build generative AI-based applications faster while reducing complexity, ultimately driving innovation and business growth. With this collaboration, Elastic and AWS aim to empower organizations to unlock the full potential of AI, leveraging the power of cloud computing, machine learning, and advanced analytics.
Accelerating AI Adoption
The agreement between Elastic and AWS is a testament to the growing importance of AI in today’s digital landscape. As organizations continue to grapple with the complexities of AI adoption, the two companies are committed to providing a seamless and integrated experience for customers. By combining Elastic’s powerful search and analytics capabilities with AWS’s scalable cloud infrastructure, the partnership will enable customers to develop and deploy AI-based applications faster, more efficiently, and at a lower cost.
“We’re thrilled to announce this new strategic collaboration agreement with AWS,” said Shay Banon, CEO of Elastic. “Together, we’re committed to helping organizations build AI-native enterprises that can drive innovation and business growth. Our combined capabilities will enable customers to develop and deploy AI-based applications faster, more efficiently, and at a lower cost.”
Joint Product Integrations and GTM Initiatives
Under the terms of the agreement, Elastic and AWS will work together to develop joint product integrations and go-to-market initiatives that will enable customers to leverage the full potential of AI. The partnership will focus on three key areas:
- Search and Analytics: Elastic will integrate its search and analytics capabilities with AWS’s machine learning services, enabling customers to quickly and easily develop AI-powered search applications.
- Cloud Infrastructure: AWS will provide Elastic with access to its scalable cloud infrastructure, enabling customers to deploy AI-based applications on a global scale.
- Machine Learning: The two companies will collaborate on developing machine learning models that can be integrated with Elastic’s search and analytics capabilities, enabling customers to build more accurate and efficient AI-powered applications.
Benefits for Customers
The partnership between Elastic and AWS is set to bring numerous benefits to customers, including:
- Faster Development and Deployment: With joint product integrations and go-to-market initiatives, customers will be able to develop and deploy AI-based applications faster, reducing the time and cost associated with AI adoption.
- Increased Efficiency: By leveraging Elastic’s powerful search and analytics capabilities with AWS’s scalable cloud infrastructure, customers will be able to reduce complexity and increase efficiency in their AI development and deployment processes.
- Improved Accuracy: The partnership will enable customers to develop more accurate and efficient AI-powered applications, leveraging the power of machine learning and advanced analytics.
Conclusion
The five-year strategic collaboration agreement between Elastic and AWS marks a significant milestone in the two companies’ long-standing partnership. The agreement reflects a shared commitment to help accelerate organizations’ transition into AI-native enterprises, empowering them to drive innovation and business growth. With joint product integrations and go-to-market initiatives, the partnership is set to revolutionize the way organizations approach AI innovation, enabling them to build generative AI-based applications faster while reducing complexity.
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