IBM combines cloud and governance for enterprise AI
SiliconANGLE: 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 builds on hybrid cloud and governance to advance its enterprise AI operating model appeared first on
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Enterprises are moving beyond experimental AI projects and now prioritizing governance, production readiness, and measurable business outcomes. A major technology company is positioning itself as a comprehensive solution for enterprise AI by combining its existing strengths in mainframe hardware, hybrid computing, and governance practices with new capabilities in agent orchestration, trusted data, intelligent operations, and compliance infrastructure. The approach addresses a significant gap identified in research showing that while over half of organizations plan to move substantial portions of their AI work into production soon, only a quarter have actually done so. This strategy reflects a broader shift in enterprise AI away from competition over cutting-edge models and toward reliable, controlled AI systems that operate within existing corporate infrastructure and meet regulatory requirements.
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