MongoDB offers new program MAAP for enterprises

MongoDB announced the MongoDB AI Applications Program (MAAP) that is designed to help organizations rapidly build and deploy modern applications enriched with generative AI technology at enterprise scale. MAAP provides customers strategic advisory, professional services, and an integrated end-to-end technology stack from MongoDB and its partners. MAAP launch partners include industry-leading consultancies and foundation model (FM), cloud infrastructure, and generative AI framework and model hosting providers that together with MongoDB help customers identify business problems that can be solved with advanced AI-powered applications. MAAP is designed to be a one-stop solution for enterprises that want to quickly and effectively embed generative AI into applications with the required technology stack and expertise in place.

"We've seen tremendous enthusiasm for generative AI among our customers, from agile startups to established global enterprises," said Alan Chhabra, EVP of Worldwide Partners at MongoDB. "These organizations leverage MongoDB’s cutting-edge technology and comprehensive services to transform innovative concepts into real-world applications. However, some are still navigating how best to integrate generative AI to solve the right business problems. That’s where the MongoDB AI Applications Program comes in. This program combines our robust developer data platform, MongoDB Atlas, with our own expertise, professional services, and strategic partnerships with leaders in generative AI technologies to provide comprehensive roadmaps for organizations of all sizes to confidently adopt and implement generative AI. With the MongoDB AI Applications Program, we and our partners help customers use generative AI to enhance productivity, revolutionize customer interactions, and drive industry advancements."

Many organizations are stuck with ineffective ways of working with data because of legacy technology that cannot scale, while others attempt to use single-purpose, bolt-on solutions that introduce unnecessary complexity and cost. As a result, these organizations wind up trading off long-term success—because of outdated technology or add-on solutions—for short-term results with proofs of concept that cannot scale to production, offer enterprise-grade security and reliability, or provide a meaningful return on their investment.

MAAP addresses these challenges by providing customers with the strategic framework, expert professional services, and technology roadmap to identify and work backward from business problems, rapidly build and iterate on solutions, and to optimize innovative generative AI applications—empowering customers to put them into production. Combined with MongoDB’s technology that enables companies to deploy generative AI applications with a unified developer data platform, MAAP delivers an end-to-end solution through its partnerships with industry-leading consultancies and FM, cloud infrastructure, and generative AI framework and model hosting providers—including Anthropic, Anyscale, Amazon Web Services (AWS), Cohere, Credal.ai, Fireworks.ai, Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic, PeerIslands, Pureinsights, and Together AI. MAAP offers customers the technology, full-service engagement, and expert support required to:

● Develop end-to-end strategies and roadmaps to build, deploy, and scale generative AI applications with hands-on support: Engagement with MAAP begins with highly personalized deep dives. MongoDB Professional Services evaluates an organization’s current technology stack and works with customers to identify business problems to work backward from. MongoDB Professional Services and consultancy partners then develop strategic roadmaps to rapidly prototype the required architecture, validate that initial results meet customer expectations, and then optimize fully built applications that customers can evolve for use in production. Customers can continue receiving support from MongoDB Professional Services to develop new generative AI features depending on their needs.

● Build high-performing generative AI applications that are secure, reliable, and trustworthy: Enterprises must trust that new technology being deployed throughout their organization and in customer-facing applications will behave as expected and will not inadvertently expose sensitive data. MAAP offers a curated selection of leading FMs that have been designed for safety, trustworthiness, and usefulness by MAAP partners. By combining these FMs with techniques like retrieval-augmented generation (RAG) using proprietary data with robust governance controls, customers can reduce model hallucinations by controlling exactly what data is provided to FMs to give them the required context that improves accuracy. Customers can also use optimized fine-tuning and inference services through MAAP partners for domain-specific use cases and fast AI model response times using models from Anthropic, Cohere, Meta, Mistral, OpenAI, and more. With MAAP, customers get the generative AI reference architectures, integrated technology, and prescriptive guidance needed for their use cases through hands-on professional services to help them build secure, high-performing applications that function as intended.

● Engage in generative AI jump-start sessions with industry experts: Organizations not yet ready to adopt generative AI at scale can customize their MAAP engagement to provide their teams prototyping sessions in a secure, private, sandbox environment. For example, a customized engagement with MAAP can include an organization’s strategy, operations, IT, or software development teams—or a combination of several teams—where an expert-led session brings together different perspectives and aims to identify an internal business challenge that generative AI can be applied to. MongoDB Professional Services can then lead a hackathon to collaboratively build a solution and test its effectiveness for internal use cases. MAAP provides the education, resources, and technology needed to quickly build a tangible solution to see generative AI in action solving a specific business problem.