AI integration in business: Transforming industries – Business

The swift advancement of technology, particularly through artificial intelligence, is transforming various sectors by enhancing efficiency, saving costs, providing strategic insights and improving customer experiences. This AI integration in business is helping companies to compete more effectively in the market.

Boomi’s Steve Lucas and Infosys’ Kapil Goel and Suman Mishra talk to theCUBE about AI integration in business at Boomi World 2024.

One of the major players using AI and automation to address integration challenges and future-proof organizations across different industries is Boomi LP.

“The reality is organizations have this massive integration challenge today,” said Steve Lucas (pictured, left), chief executive officer of Boomi. “Why are you attacking an integration challenge with a dozen or more integration products? That’s one integration problem for another. You don’t want to do that. Using the singular Boomi enterprise platform, we can solve all of that in one go.”

Lucas, Kapil Goel (second from right), associate VP and global head of BPM, API and digital process at Infosys Ltd., and Suman Mishra (right), senior director at Infosys, spoke with theCUBE Research’s Savannah Peterson at Boomi World, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Boomi is using AI and automation to address integration challenges. (* Disclosure below.)

Leveraging AI for strategic business integration

The rise of APIs and microservices, along with the shift to digital and cloud-first approaches, has led to an increase in the number and complexity of apps, requiring sophisticated data handling and event-driven architecture. Boomi is able to unify data from various sources, protocols and formats to create a cohesive protocol, Goel explained.

“Clients wanted to build apps that could leverage the event-driven architecture out there. I think that’s where Boomi fits extremely well. It’s able to bring in this unification of data from different sources, different protocols and different formats,” he said. “It’s going to put all of this together and create that protocol. Very exciting times ahead in terms of the future of integration, particularly with AI coming into the mix.”

Technology is changing drastically, requiring a rewrite of enterprise software to accommodate new AI technology. The challenges in integration include future-proofing, addressing all integration patterns and ensuring scalability and flexibility in architecture, according to Goel.

“The future of AI infused into integration, where we are no longer doing the routine manual mappings or configurations inside the integrations,” he said. “We are no longer worried about data quality after integrations, because imagine if there is an AI agent which is going to look at the past data flows and suggest and tell you beforehand, ‘Hey, this pattern is wrong, this mapping is wrong.’ They’re able to get out of this grappling issue of modernization by implementing a platform like Boomi.”

Boomi and Infosys are working together to help organizations manage the rise of autonomous agents by consolidating integration and automation systems on one platform, while also balancing governance and flexibility for democratizing development, Lucas explained.

“What we’re doing, Boomi, with Infosys in particular, is we’re helping organizations see that future — that it’s not just apps and databases and APIs. Very important,” Lucas said. “That’s today here and now, but add agents into that mix and it gets infinitely more complex. You can’t really tackle that future without having a good grasp on your current, today — consolidating different integration and automation systems on one platform.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Boomi World:

(* Disclosure: Boomi LP sponsored this segment of theCUBE. Neither Boomi nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE