IBM builds on hybrid cloud and governance to advance its enterprise AI operating model
Enterprises are moving beyond AI pilots, putting greater emphasis on governance, production readiness and measurable business outcomes. Research from Deloitte highlights a significant gap between enterprise AI ambition and execution: 54% of organizations plan to move at least 40% of their AI initiatives into production within six months. Yet only 25% have done so today. IBM […] The post IBM…
IBM is focusing on hybrid cloud and governance to advance its enterprise AI operating model, according to research from Deloitte and CUBE Research's Dave Vellante. The company has a strong book of business around generative AI, with AI-related software sales and consulting engagements totaling over $12.5 billion in Q4 2025, up from $9.5 billion the previous quarter.
IBM is investing in several key areas to build an enterprise AI operating model, including agent orchestration, trusted data, intelligent operations, and governance. These capabilities were rolled out through a series of product launches and acquisitions leading up to IBM Think 2026. IBM's hybrid cloud strategy is crucial to its enterprise AI strategy, as over 70% of enterprise data remains locked up in on-premises systems.
The company is also embedding AI technology directly into its mainframe platforms, such as IBM Z, to support demanding AI workloads. IBM's approach to governance is centered on customer control, allowing enterprises to keep critical data and AI workloads in environments they own and govern. This strategy has been well-received by clients, leading to significant growth in IBM's mainframe business.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
