IBM brings enterprise AI orchestration to the TechXchange agenda

Enterprise AI orchestration must consider agents working with the data, applications, and infrastructure that organizations already use. As companies move beyond experimentation, the consistent operation of these systems brings issues of access, oversight and operational control into greater focus.

These deployment challenges will shape the discussion at IBM TechXchange 2026, October 26-29 in Atlanta. According to Bruno Aziza (pictured), group vice president of software, data, AI, automation and security at IBM, IBM Corp. plans to bring together practitioners to share how they address production requirements, including sovereignty.

“I think the market is becoming increasingly hybrid,” he said. “Hybrid data, hybrid operations, hybrid automation. The complexity is not in eliminating the hybrid world; the complexity is in mastering the hybrid world.”

Aziza spoke with Dave Vellante and John Furrier of theCUBE Research for IBM’s AI Operating Model interview series during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the technologies, operational practices and governance needed to scale AI across the enterprise in advance of TechXchange. (*Disclosure below.)

Enterprise AI orchestration requires continuous monitoring

Providing employees with tools to build agents represents both a management challenge and an opportunity to improve their work. Companies need visibility into the data provided by these employees and a way to coordinate this across systems, Aziza explained.

“This will be the point at which governance breaks… this [number of agents] “What your people can do exceeds what you can handle,” he said. “So you really need to build a platform that allows you to catch up.”

IBM’s AI operating model combines agent orchestration, data integration, hybrid operations and sovereignty. Aziza says monitoring needs to be extended to applications, clouds and data, with alerts that allow companies to understand and respond to problems.

“[People] “We tend to think about compliance and stopping innovation, whereas I think we want to have a continuous system that allows people to innovate,” he said. “Your employees will innovate. You want to give them the tools to do that.”

Sovereignty goes beyond data location

Sovereignty represents another test of how thoroughly organizations understand their operating environments. Choosing where to store the information solves only part of the problem. Organizations also need to establish responsibility for the surrounding systems and activities, Aziza emphasized.

“You have to think about data: where should it be stored? You have to think about technology: which shifts should be run by whom? You have to think about operations: who can actually run this? Then you have to think about regulations: how do you stay in touch with it?” he said.

According to the company, IBM’s Sovereign Core is designed to support control across these dimensions, with more than 200 compliance frameworks associated with the controls. “When evaluating partners, it is therefore important to examine how their capabilities work together across the organization, rather than assuming that a single offering covers the entire scope of sovereignty,” Aziza explained.

“True sovereignty really spans data, technology, operations and regulation. If you don’t have a complete answer to that, you could actually fall into a silo that would be detrimental to your business,” he said.

TechXchange focuses on production experience

IBM’s AI operating model combines data, agent workloads, hybrid cloud and infrastructure automation. For enterprise AI orchestration to work at these dimensions, agents must be connected to existing business processes and both batch and real-time data must be taken into account, Aziza explained. TechXchange will bring these implementation questions into discussions with practitioners, with customer examples from organizations such as Citigroup Inc., CVS Health Corp. and DoorDash Inc.

“I think culture is not something you hang on the wall. Culture is what you do,” he said. “One of the things that attracted me to IBM is its very customer-focused culture. What you’ll see at the conference is [that] The majority of our content is customer content. it is the exchange of practitioners.”

The conference is designed to address the different environments in which customers operate and not focus on a vendor’s cloud or application, Aziza explained. As models and tools change, practitioners need ways to compare implementation decisions with colleagues who have faced similar challenges. This exchange can help leaders evaluate their decisions beyond the guidance they receive from vendors, he added.

“What [customers] “They need to go to someone they know and trust who can ask, ‘How did you design this?'” he said. “I think building for a changing world, building for the dimensions of the hybrid, is the only way to win today.”

Here is the full video interview, part of SiliconANGLE and theCUBE’s coverage of IBM’s AI Operating Model interview series:

(*Disclosure: TheCUBE is a paid media partner for IBM’s AI Operating Model interview series. Neither IBM, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over theCUBE or SiliconANGLE content.)

Photo: SiliconANGLE