Scaling Generative Ai At Ibm Think 2025 Siliconangle

Bonisiwe Shabane

-Dec 15, 2025, 9:50 AM

scaling generative ai at ibm think 2025 siliconangle

Generative AI is no longer just an experimental topic: It’s become a core focus of enterprise strategy. Behind the scenes, companies are moving beyond proofs of concept and into the more challenging work of scaling infrastructure, establishing governance and delivering measurable outcomes. As the excitement settles, the center of gravity is shifting from innovation theater to operational reality. That shift requires less fanfare and more friction management, according to Bruno Aziza (pictured), group vice president for data, business intelligence and artificial intelligence at IBM Corp. IBM’s Bruno Aziza talks with theCUBE Research’s Dave Vellante about what’s possible when agents work across apps, clouds and workflows to drive real value. “While there’s excitement, we now need to think about a true agentic strategy, which includes cost and governance,” he said.

“We’re not talking about this as much because it’s not sexy, but I guarantee you the next six months, probably the next five years in fact, are going to be about that.” Aziza, along with executives and partners from companies including PepsiCo Inc., Heineken N.V., United Services Automobile Association, IBM and leading analysts and data strategists, spoke with theCUBE’s Dave Vellante at IBM Think, during an... They discussed IBM’s agentic strategy, the challenges of scaling generative AI in enterprise environments and the operational frameworks needed to make AI work in production. (* Disclosure below.) A Scuderia Ferrari Formula 1 race car sat encased in glass at the center of the IBM Think 2025 conference in Boston this week, flanked by attendees and backlit by a glowing blue IBM... Its deep red chassis and aerodynamic curves attracted a steady stream of photos, but its presence was more than symbolic.

According to IBM, the car generates over one million data points every second, capturing pressure, friction, temperature and velocity in real time. That information now fuels a personalized mobile experience for fans, powered by the IBM watsonx platform. The display opened the event, where the company laid out its position that AI is no longer speculative. Artificial intelligence, quantum computing, hybrid cloud infrastructure and automation were presented not as future concepts, but as current capabilities that are reshaping operations at global enterprises. Across keynotes and panels, speakers from industries as varied as defense, retail and finance described how foundational shifts in architecture, talent, data management and interoperability are already underway. Executives and engineers from PepsiCo, Meta, Lockheed Martin, The Heineken Company and BNP Paribas joined IBM leaders to share how artificial intelligence, quantum computing and automation are producing measurable results.

“AI is the productivity engine,” said Arvind Krishna, IBM Chairman and CEO. “AI unlocks the value in your data.” Discover expertly curated insights and news on AI, cloud and more in the weekly Think Newsletter. 10 Best Crypto Exchanges in India December 2025 Nansen AI Introduces Joint Venture Protocols 10 Crypto Exchanges with the Lowest Fees: December 2025 Comparison

10 Best Crypto Trading Bots in 2026 (AI & Automated Picks) 10 Easiest Crypto to Mine: Best Profitable Coins In Dec 2025 Companies are leaning into generative artificial intelligence with bold ambitions, but scaling those aspirations demands an agentic strategy that goes beyond enthusiasm and experimentation. As many focus on engagement and content generation, IBM is calling attention to the operational realities that underpin lasting success. Its agentic strategy is gaining traction because it bridges creative momentum with the practical discipline of execution oversight and governance, according to Bruno Aziza (pictured), group vice president for data, business intelligence and artificial... IBM’s Bruno Aziza talks with theCUBE Research’s Dave Vellante about what’s possible when agents work across apps, clouds and workflows to drive real value.

“We’re … learning what really matters is to think … about the idea of being more than just agents,” Aziza said. “I think while everyone’s thinking about the opportunity of engineering new content and getting better engagement, you also have to think about everything that matters in production. How are you going to manage costs? How are you going to manage governance?” Aziza spoke with theCUBE Research’s Dave Vellante at IBM Think, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how recent wins with global players such as PepsiCo Inc., L’Oréal S.A.

and Heineken N.V. reflect what’s possible when agents work across apps, clouds and workflows to drive real value. (* Disclosure below.) ARMONK, N.Y. — At the company’s annual THINK event, IBM unveiled new hybrid technologies for scaling enterprise AI – designed to enable businesses to build AI agents with their own enterprise data. IBM estimates that over 1 billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments.

This requires integration, orchestration and data readiness. The company said a new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most adopting AI agents and... Yet their pace of investments has led to disconnected technology – and only 25 percent of AI initiatives have achieved the ROI they expected, IBM said. IBM is combining hybrid technologies, agent capabilities and support from IBM Consulting to help businesses operationalize AI. “The era of AI experimentation is over. Today’s competitive advantage comes from purpose-built AI integration that drives measurable business outcomes,” said Arvind Krishna, Chairman and CEO, IBM.

“IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations.” Build AI agents in watsonx Orchestrate that work with 80+ leading business applications ARMONK, N.Y., May 6, 2025 /PRNewswire/ -- Today at the company's annual THINK event, IBM (NYSE: IBM) is unveiling new hybrid technologies that break down the longstanding barriers to scaling enterprise AI – enabling... IBM estimates that over one billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires seamless integration, orchestration and data readiness. A new IBM CEO study shows that business leaders expect the growth rate of AI investments to more than double over the next two years, with most actively adopting AI agents and preparing to...

Yet their pace of investments has led to disconnected technology – and only 25% of AI initiatives have achieved the ROI they expected. IBM is combining hybrid technologies, agent capabilities and deep industry expertise from IBM Consulting to help businesses operationalize AI. "The era of AI experimentation is over. Today's competitive advantage comes from purpose-built AI integration that drives measurable business outcomes," said Arvind Krishna, Chairman and CEO, IBM. "IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations."

Scaling Generative Ai At Ibm Think 2025 Siliconangle

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