Expanded partnership between MongoDB and Google Cloud enables developers to use Google’s leading AI foundation model to build a new class of generative AI applications with expert assistance and professional services
new york, June 22, 2023 /PRNewswire/ — MongoDB, Inc. (NASDAQ: MDB), today at the developer conference MongoDB.local NYC, partnered with Google Cloud to help developers accelerate the use of generative AI to build a new class of applications announced a new initiative. MongoDB Atlas is a multi-cloud developer data platform used by tens of thousands of customers and millions of developers worldwide to rapidly build and scale applications using a single platform. With a unified operational data store at its core, MongoDB Atlas is uniquely positioned to help organizations of all shapes and sizes build applications powered by generative AI, faster and easier. Developers can accelerate software development by leveraging MongoDB Atlas integration with industry-leading partners and Google Cloud’s Vertex AI Large Language Model (LLM), and new Quickstart Architecture Reviews from MongoDB and Google Cloud Professional Services It is now possible. To get started with MongoDB Atlas on Google Cloud, visit mongodb.com/products/platform/atlas-cloud-providers/google-cloud.
Recent advances in generative AI technologies such as LLM present an opportunity to rethink how end users interact with applications. Developers want to harness generative AI to unleash their creativity and build new classes of applications, but many of today’s solutions stitch together multiple disparate technologies and components, or add solutions to existing technology stacks. This makes software development cumbersome, complicated and expensive. MongoDB and Google Cloud are addressing these challenges by offering a growing set of solutions and integrations that meet the needs of developers where they are and enable them to quickly start building applications powered by new AI technologies. We support the resolution of
- Seamlessly use Google Cloud’s Vertex AI underlying model with MongoDB Atlas Vector Search. MongoDB and Google Cloud have partnered since 2018, helping thousands of joint customers, including Keller Williams, Rent the Runway, and Ulta, adopt cloud-native data strategies. Earlier this year, that partnership was expanded to include deeper product integration. Now, with his MongoDB Atlas Vector Search and Vertex AI, developers can seamlessly build applications with AI-powered capabilities to deliver highly personalized and engaging end-user experiences. became. Vertex AI provides embed text API to generate embeddings from customer data stored in MongoDB Atlas. Combine with PaLM text models to create advanced capabilities such as semantic search, classification, outlier detection, AI-powered chatbots, and text summarization. For more information on how to build applications with MongoDB Atlas using Vertex AI, please visit: mongodb.folloze.com/google-cloud-ai.
- Build AI applications faster with hands-on expert help. From conception to execution, the MongoDB and Google Cloud Professional Services teams provide expertise in data schema and index design, query structuring, and AI model fine-tuning to build a strong foundation for your application, helping you get the job done. Assist in rapid prototyping of The Vertex AI Platform is designed for a full range of applications, from advanced AI and data science practitioners with end-to-end AI/ML pipelines, to business users who can leverage foundational models to create out-of-the-box experiences. Address AI use cases. Language, image, audio, and code content. Developers can also tune the model to further improve its performance for specific tasks. Google Cloud and MongoDB are working closely together under the Built with Google Cloud AI program to make these experiences even more seamless with Google’s Generative AI capabilities built directly into the MongoDB Atlas. Once your application is ready for production, the MongoDB and Google Cloud professional services teams will optimize your application’s performance, help you solve future issues through rapid iteration, and bring new features into production faster. can.To get started, please visit mongodb.com/products/consulting.
“The future of software and data is now, as technology shifts powered by generative AI are happening today, and we are using MongoDB Atlas to make it more evenly distributed for developers,” he said. says. Alan Chabra, Executive Vice President of MongoDB Worldwide Partnerships. “This change starts with developers. We want to democratize access to innovative technologies so that every developer can build the next big thing: MongoDB Atlas and Google Cloud. Our strategic partnership with AI will make it easier for organizations of all shapes and sizes to incorporate AI into their applications and embrace the future.”
Kevin Ichhpurani, Corporate Vice President of Google Cloud Global Ecosystems and Channels, said: “Generative AI presents a significant opportunity for developers to create new applications and experiences that add real business value to their customers.” It provides more features, support and resources for developers building.”
One AI enables businesses to deploy the world’s best language AI capabilities, tailored to their unique needs, in days. “We needed a platform that allowed us to build software that was agile, data-driven and scalable. His MongoDB Atlas on Google Cloud was the obvious choice,” he said. Amit Ben, Founder and CEO of One AI. “Because of the flexibility and scalable document data model provided by MongoDB Atlas, we have been able to make hundreds of small, incremental changes and additions to the platform in the last year alone, without much effort, and with rapid development and It has allowed us to adapt quickly to our changing and growing needs, migration and compatibility issues, and we look forward to the additional support MongoDB and Google Cloud will provide as we grow and scale.”
MongoDB developer data platform
MongoDB Atlas is the leading multi-cloud developer data platform that accelerates and simplifies building with data. MongoDB Atlas provides an integrated set of data and application services in an integrated environment, empowering teams of developers to rapidly build modern applications with the functionality, performance, and scale they need.
About MongoDB
Head office location new york, MongoDB’s mission is to unlock the power of software and data to help innovators create, transform and disrupt industries. Built by developers for developers, our Developer Data Platform is a database with an integrated set of related services that enable development teams to meet the growing requirements of today’s wide variety of modern applications, all unified. Be prepared to respond with a consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since his 2007, and there are millions of builders trained through MongoDB University courses. For more information, please visit: mongodatabase.com.
Forward-Looking Statements
This press release contains certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding MongoDB. It contains. New features in MongoDB Atlas for building new classes of applications. These forward-looking statements include plans, objectives, expectations and intentions and other statements contained in this press release that are not statements of historical fact and include the words “anticipate,” “believe,” and “continue.” including, but not limited to, statements identified by the words , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , or the negative or plural forms of these words or similar expressions or variations. These forward-looking statements reflect our current views regarding our plans, intentions, expectations, strategies and prospects based on the information currently available to us and the assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects reflected or implied in these forward-looking statements are reasonable, we do not believe that our plans, intentions, expectations or strategies will be achieved or achieved. We cannot guarantee that it will. In addition, actual results may differ materially from those set forth in the forward-looking statements and are subject to various assumptions, uncertainties, risks and factors beyond our control. This includes but is not limited to: About our business, customers and potential customers.Impact of the ongoing military conflict between Russia and Ukraine about our business and future operating results; the impact of economic downturns and/or rising interest rates, inflation and volatility in the global economy and financial markets on our business and future results; We may not be able to meet our published guidance or other expectations regarding our business and future performance. Our Limited Operating History. Our loss history. if our platform fails to meet the customer’s requirements; Impact of increased competition. Investments in new products and the ability to introduce new features, services or enhancements. Ability to effectively scale your sales and marketing organization. Ability to continuously build and maintain credibility with the developer community. Ability to add new customers or increase sales for existing customers. Ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the database product market and our ability to penetrate that market; our ability to successfully integrate acquired businesses and technologies or achieve the expected benefits of such acquisitions; Our ability to maintain the security of our software and appropriately address privacy issues. Ability to effectively manage our growth and recruit and retain additional highly qualified personnel. and the volatility of the price of our common stock. These and other risks and uncertainties are further described in our filings with the Securities and Exchange Commission (“SEC”), including the caption “Risk Factors,” in our Quarterly Report on Form 10-Q for the closed quarter. It is listed. April 30, 2023filed with the SEC June 2, 2023 and other filings and reports we file with the SEC from time to time. Except as required by law, we undertake no obligation to update any forward-looking statements contained in this release, whether as a result of new information, future events, changes in expectations or otherwise.
Media contact point
MongoDB
[email protected]
Source MongoDB, Inc.
