Three Ways Ibm Is Advancing Enterprise Ai Strategy Siliconangle

Bonisiwe Shabane

-Dec 19, 2025, 12:11 AM

three ways ibm is advancing enterprise ai strategy siliconangle

Organizations are racing to implement artificial intelligence, but many struggle to define a successful enterprise AI strategy. Despite all the tools at their disposal, results remain elusive. A recent BCG study found that just 26% of companies have developed the capabilities to scale AI and generate real business value. For all the talk of automation, smarter workflows and digital reinvention, real progress is proving harder to define. Companies don’t just need new tools. They need sharper strategies, trusted data and partners who understand the operational grind — partners willing to deliver tangible outcomes, not just effort.

IBM’s Tony Menezes talks with theCUBE about how AI is transforming business operations, enabling enterprises to achieve scalable growth and efficiency. “One chief financial officer told me, ‘You know more about my business than any other consultant I would pay millions of dollars. Just tell me what I know what you already know,’” Tony Menezes, global managing partner of business process operations, IBM Consulting, at IBM Corp., told theCUBE during a recent interview. “That’s where I think we have the opportunity to be really different in delivering our values for our customers.” That kind of candor cut through the noise during the “AI-Powered Business Operations: Strategies for End-to-End Transformation”2025 event, where theCUBE Research’s Dave Vellante met with IBM leaders and enterprise decision-makers to talk about what... From hybrid strategies to outcome-based models, the conversations revealed where the future is headed — and what’s standing in the way.

(* Disclosure below.) 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." Senior Vice President, Transformation and Operations This post was updated on 26 August 2025.

No matter the industry, no matter the geography, every business leader wants growth. The details of how an enterprise gets there will vary. Industry dynamics shift, economic conditions fluctuate, governmental policies change. Whichever path is taken, productivity enabled by AI and automation will likely be at the heart of transformational growth. It is one of the most exciting opportunities of our lifetime. Nobel prize-winning economist Paul Krugman once said, "Productivity isn't everything, but in the long run, it's almost everything.” That’s because productivity is about more than just cost savings or efficiency—it’s about creating self-funding mechanisms...

Artificial intelligence is no longer confined to back-end tasks or experimentation. It’s becoming the connective layer that reshapes how workflows function, how decisions are made and how value is delivered across the enterprise. For businesses navigating economic pressure, talent disruption and performance mandates, IBM Corp.’s AI strategy makes intelligence not optional, but operational. That shift came into focus during this year’s “AI-Powered Business Operations: Strategies for End-to-End Transformation” event. Across a series of candid conversations with IBM leaders and enterprise decision-makers, theCUBE explored how the company is reimagining the structure of digital work itself, from sourcing and sustainability to customer service and skills... That enterprise-wide scope reflects IBM’s AI strategy to embed intelligence throughout operations, not just in isolated systems.

“We’re entering the golden age of AI, a pivotal moment in how enterprises operate, create value and engage the world,” said theCUBE Research’s Scott Hebner. “This shift will redefine everything from how technology is applied to how labor is deployed, igniting a new super-cycle of innovation and productivity. Businesses such as IBM that embrace this future now won’t just keep up, they’ll lead.” Since the event, IBM has moved swiftly to operationalize its vision. The company has introduced tightly scoped AI models tailored for enterprise complexity, integrated trust and observability as core design principles and doubled down on orchestration strategies to scale AI safely and efficiently. Its direction is clear: AI isn’t a sidecar, it’s the system, and IBM is building the infrastructure to make that system work across every layer of the modern business.

This feature is part of SiliconANGLE Media’s exploration of IBM’s market impact in AI-powered business operations. (* Disclosure below.) 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.)

IBM Think 2025 wasn’t just a showcase — it was a signal. The company is aligning its portfolio for the AI-first era. For CIOs, IBM’s message is clear: The future of enterprise IT is hybrid, intelligent, and orchestrated — and IBM wants to lead the way. This advice is triggered by what we heard at IBM Think 2025, but it applies to every technology and service provider. CIOs and technology leaders should: Stay tuned for updates from the Forrester blogs.

IBM has unveiled its most ambitious AI-focused brand campaign in company history, “Let’s create smarter business,” featuring seven-time Formula 1 World Champion Lewis Hamilton as narrator to address the critical gap between AI experimentation... The campaign, developed with Ogilvy and launching during the US Open, represents IBM’s strategic positioning as the enterprise AI partner capable of transforming entire organizations rather than just individual productivity tools. The timing reflects urgent market realities: 73% of companies spend over $1 million annually on AI initiatives, yet 32% of C-suite executives report no significant revenue impact from their investments. This widening disconnect between AI spending and business results has created what IBM identifies as the “AI adoption gap”—the challenge of moving from promising pilot projects to enterprise-wide transformation that delivers measurable value. IBM’s campaign distinguishes itself by targeting comprehensive business intelligence rather than consumer-facing AI applications that dominate current market discourse. While competitors focus on individual user productivity or consumer AI experiences, IBM emphasizes using technology to make entire business ecosystems smarter through integrated AI solutions across critical operations.

The company is implementing its own transformation strategy, embedding intelligence throughout IBM’s internal operations from HR and IT support to sales and procurement. This comprehensive approach has positioned IBM to deliver $4.5 billion in productivity gains by the end of 2025, providing concrete evidence of AI’s enterprise value when properly implemented across organizational systems. Lewis Hamilton’s involvement extends beyond celebrity endorsement to strategic partnership, with IBM serving as Official Fan Engagement and Data Analytics Partner for Scuderia Ferrari HP. This collaboration demonstrates IBM’s AI and data capabilities in high-performance environments, with the recently launched Ferrari mobile app showcasing how AI enhances fan experiences through real-time data integration and personalized content delivery.

Three Ways Ibm Is Advancing Enterprise Ai Strategy Siliconangle

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