The new era of artificial intelligence technologies is spurring widespread transformations across every aspect of app development, from code generation to data management.

MongoDB Inc. aims to create a data platform that seamlessly incorporates both open-source and proprietary AI models into the development experience.

“A whole new stack [is] emerging for how people are building these generative AI-powered applications,” said Sahir Azam (pictured), chief product officer of MongoDB. “We’re … focused on the data layer around how do we simplify operational data, metadata, search data, vector data, all in a single platform.”

Azam spoke with theCUBE industry analysts John Furrier and Dave Vellante at the “Supercloud 5: The Battle for AI Supremacy” event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the need for innovative data management in the AI era and how it is changing the development landscape.

A future of AI-based automation

MongoDB is focused on positioning itself as “a data platform is suited for [the] next generation of AI applications,” according to Azam. Its Atlas Vector Search allows developers to access unstructured data, such as images or words, by creating numerical representations or “vectors” that an AI model can interpret.

The platform is partnering with Amazon Bedrock, which provides an abstraction layer in the application programming interface that allows developers to more easily embed AI technologies.

“We’ve worked proactively over the last year to make sure MongoDB is well integrated into an open stack of technologies and tools and that and we can be a part of the foundational data layer for these modern applications,” Azam said. “We’ve taken AI and embedded it in our product and even just beyond the products into our developer experience.”

Part of improving that developer experience means incorporating organizations’ proprietary data. With Bedrock, MongoDB looks to combine large language model workflows and proprietary data management into a customized experience for companies.

“We’re trying to be a general purpose platform for 80% of the use cases in the average organization,” Azam said. “We make sure that you can get analytics in real time off your operational data.”

There is also an opportunity for LLMs to adapt data-based legacy applications, according to Azam, who estimates that millions of dollars could be saved by converting those technologies into modern data architecture through an automatic process.

“[The] shift left that we saw with security or we saw with operations is now happening with analytics,” said Azam, who believes that verifying results from AI models, especially code assistance, is critical for the future of app development. “We’re well positioned given our strength on developer community and operational scalable systems.”

As developers incorporate AI into their applications, the future of software will be all about automation, Azam predicted.

“Smarter software that automates that decision-making process … becomes an operational data platform that developers have to care about,” he said. “Now every development team is being asked to be competent in how to apply gen AI to the software experiences that they’re building every day.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the “Supercloud 5: The Battle for AI Supremacy” event:

Photo: SiliconANGLE