MongoDB Introduces an AI app-building Toolkit to Assist Companies Having Trouble Implementing Generative AI

The NoSQL database provider MongoDB has introduced a programme designed to assist businesses in expediting the development and implementation of AI-driven apps. Everything an organisation needs to get started is promised by the MongoDB AI Applications Programme, or MAAP, including professional services, strategic advice, and an end-to-end technology stack. In order to create solutions for business problems, it brings together MongoDB Atlas with consultancies and providers of foundation models, cloud infrastructure, generative AI frameworks, and model hosting. Despite being revealed today, MAAP won’t be accessible until July.

Global partners at MongoDB, including agile start-ups and well-established multinational corporations, have shown a great deal of interest in generative AI, according to an announcement from executive vice president of worldwide partnerships Alan Chhabra. Nonetheless, some are still figuring out how to incorporate generative AI to address the appropriate business issues. The MongoDB AI Applications Programme fills that need.

MAAP is tackling an AI-related issue that many executives are facing. Roughly 25% of company executives are thought to be capable of using the technology. Greg Maxson, senior director of AI go-to-market and strategic partnerships at MongoDB, said, “Many businesses share that they’re facing challenges even getting started due to the rapidly evolving technology landscape, a lack of in-house AI development expertise, and the perceived risk of integrating all these fragmented vendor solutions.”

What’s Added with MAAP

The first of MAAP’s four components is Atlas, a pre-packaged set of databases and data services that can support several clouds. MongoDB solutions, features, and services are available to developers already configured and optimised. A carefully chosen group of partners is also included in the offering, which can help assess an organisation’s current technological stack and pinpoint business issues that need to be resolved. Following the development of strategic roadmaps for organisations to assess, these consulting partners will eventually provide the necessary application and detail the necessary architecture.

MongoDB’s MAAP includes top-of-market foundation models to reassure enterprise companies that their AI apps are safe, dependable, and trustworthy. Anthropic, Cohere, Meta, Mistral, OpenAI, and more framework models are available for developers to select from. For AI security, they can use Anyscale,, Together AI,, LangChain, and LlamaIndex. Finally, MAAP makes use of MongoDB’s connections to significant cloud service providers, including Google Cloud, Microsoft Azure, and Amazon Web Services.

The last component enables businesses to hire experts to assist in the protected and confidential sandbox environment of app prototyping. The identification of an internal business challenge and the application of AI to address it will be the main topics of these expert-led workshops. Those partners include PeerIslands, Pureinsights, and Gravity9, consultancies that specialise in generative AI.

The existence of this extensive partner ecosystem is made possible by our substantial investments and alliances, said Maxson. “MAAP simplifies common first-mile challenges and streamlines the development process through our strategic partnerships with these industry leaders, access to specialised Gen AI consultancies, and personalised professional services to facilitate app development.”

It’s not just MongoDB that promotes AI app development platforms for businesses. Compared to consumers, organisations in this sector use technology more sparingly and seek as much information as possible before making decisions. Despite the fact that companies like Microsoft and Cohere have created their own toolkits, MongoDB thinks it has a competitive advantage.

We consider the top three layers of the AI stack to be present. During a press briefing, Scott Sanchez, vice president of product marketing and strategy at MongoDB, disclosed. “At the bottom is the infrastructure, which includes the GPUs and the models themselves. A lot of work and money are now being done in these areas. The innovative AI-powered applications that clients are developing or wish to develop are at the top. And MongoDB plays its role in the midst, where the data resides. We truly believe that data must be the key differentiator. Either you create a generic chatbot that doesn’t know anything about your company or your clients, or you connect your real-time data meaningfully to create an AI-powered application that can actually change the game and revolutionise your industry.

He compares it to bookends, where apps are on one side and GPUs and models are on the other. It is really meaningless to purchase and invest in bookends alone, without any books. And that is the central data. Because of this, MongoDB is extremely vital to businesses attempting to engage in AI and use it to transform their operations.

Another advantageous feature for businesses is MongoDB’s third-party resources using MAAP. For businesses that are uncertain about whether they are creating a practical app that will yield tangible business outcomes, these vendors can provide peace of mind. Maxson stated that some clients reported that the time it took to design and deploy a generative AI app was cut down to about six weeks, “which, from their feedback, was a significant improvement from previous experiences,” even though he did not have detailed figures regarding the typical amount of time saved in app development using MAAP.

Customers will be able to access MongoDB’s MAAP beginning in July. According to the corporation, its pricing strategy would resemble that of its existing go-to-market approach, which encourages customers to “go fast alone or go further together.”

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