MongoDB developer Ittycheria talks about the evolving AI landscape

The technology industry is undergoing a major transformation, with artificial intelligence reshaping the way businesses operate and interact with customers. The AI ​​landscape is evolving at breakneck speed.

Companies dealing with the rapid evolution of AI are looking for solutions to effectively navigate this new landscape. MongoDB has emerged as a key player in this transformation, focused on providing tools and expertise that help developers leverage the potential of AI as they build innovative applications.

Dev Ittycheria (pictured), Chief Executive Officer of MongoDB Inc., said: “We help developers use AI to build applications that transform business. Where do people see the value?” , you will understand its value through the app to find new growth opportunities. ”

Ittycheria spoke with Dave Vellante, chief analyst at theCUBE Research, during an exclusive broadcast on SiliconANGLE Media's livestreaming studio, theCUBE, at the MongoDB.local NYC event. They discussed the new MongoDB AI application program, what's happening with AI today, how organizations are leveraging AI, and how MongoDB is working with hyperscalers. (*Disclosure below.)

Delivering real business value through MAAP

MongoDB's approach to AI environments is focused on focusing on applications and services that deliver tangible business value. The company is focused on the application layer of his AI stack, which Ittycheria believes is critical to business transformation. He drew parallels between the current AI revolution and the rise of the Internet, likening today's AI infrastructure investments to the early days of the Internet, when companies like Cisco Systems reigned supreme.

“There's a lot of investment going on in the infrastructure layer right now… but AI isn't really transformational,” Itticheria said. “How it will be transformational is how these next-generation apps will change the way we do business, how we take costs out of our business, how we engage with our customers, and how we find new ways to drive growth. A way to really transform not just our business, but any business.”

Regarding MongoDB's strategic direction, the company emphasizes the importance of its recently launched MongoDB AI Application Program (MAAP). This initiative aims to help organizations by providing reference architectures, pre-built integrations, and technical expertise to accelerate AI adoption.

“MAAP is really designed to address three problems. The first is to provide customers with a reference architecture to address as a set of specific use cases. The second is to quickly to pre-build a set of integrations that can be used to get started quickly,” Ittycheria explained. “And third, we bring tactical expertise to help them move from idea to commercialization as quickly as possible.”

MongoDB has an LLM-agnostic strategy, giving developers the freedom to choose the large-scale language model that best suits their needs, whether it's OpenAI, Llama, Anthropic, or other options. This flexibility is at the heart of his MAAP. Ittycheria said MongoDB is not tied to a single LLM, allowing developers to leverage the most appropriate technology for their projects, ultimately innovating and building applications that deliver real business value. You will be able to do it.

Navigating the AI ​​environment: Embrace flexibility and independence

The rapid advancement of AI models is creating uncertainty among businesses large and small. Businesses are overwhelmed by the pace of change and fear falling behind competitors leveraging AI. According to Ittycheria, MongoDB aims to address this problem by helping organizations navigate the AI ​​landscape and providing tools and insights to build impactful AI-driven applications. That's what I'm aiming for.

“People need to think about LLM as the operating system of the future,” he said. “It's necessary, but not sufficient. You don't need to own an operating system to build apps.

He dismissed the idea of ​​MongoDB developing its own LLM, noting that such an effort would require significant resources. Instead, the company is focused on leveraging its existing LLMs to deliver specialized applications.

“For companies like MongoDB and other companies of our size, it still doesn’t make sense to build your own model,” he said. “We might use a model for a specific internal use case and tweak it based on data, but it just doesn't make sense to start from scratch.”

The real innovation lies in applying AI to specific business needs, he added, and this is an area where MongoDB can add significant value.

Below is the full video interview, part of SiliconANGLE and theCUBE Research's coverage of the MongoDB.local NYC event.

(*Disclosure: TheCUBE is a paid media partner of the MongoDB.local NYC event. Neither MongoDB, the sponsor of theCUBE's event coverage, nor any other sponsor has editorial control over theCUBE or SiliconANGLE content.)

Photo: SiliconANGLE