FEATURE
applications should be adaptable across multiple business units.
We place particular emphasis on use cases that enhance co-ordination between corporate teams, supply chain and factory operations, as well as those that contribute to productivity, operational resilience and safer working environments. Alongside this, continuous experimentation allows us to refine our approach and identify where AI can deliver the greatest value.
How do you measure the success and business value of AI deployments as they move from pilot to enterprise scale?
The way we measure success evolves as AI initiatives mature. At the pilot stage, the focus is on model performance, accuracy and reliability. As deployments move to enterprise scale, the emphasis shifts toward tangible business outcomes.
We look at indicators such as operational efficiency, productivity, planning effectiveness, and the quality of decisionmaking across the organisation. In industrial environments, we also consider improvements in operational visibility and workplace safety.
Equally important are adoption and consistency, ensuring that AI solutions deliver reliable, repeatable results across both corporate functions and factory operations. Ultimately, success is defined by the ability to create meaningful, scalable
impact that improves how the business operates as a whole.
Marwa Abbas, General Manager, North East Africa, IBM
How is IBM supporting organisations in moving from AI experimentation to enterprisescale deployment with strong governance?
At IBM, we see a consistent pattern. AI adoption is high, but many organisations are still stuck in the pilot phase. In fact, nearly 95 % of AI pilots never reach production. The challenge is not lack of ambition. It is fragmentation.
The shift that matters is moving from experimentation to embedding AI into core workflows. AI is shifting from tool to teammate, but it still requires purpose, data discipline and governance.
Only about 1 % of enterprise data sits inside models today. The organisations that connect the other 99 % and fix fragmentation will see real ROI. That requires better orchestration of how humans, data and systems work together across the enterprise.
This is where IBM comes in. We help organisations move beyond experimentation by combining enterprise-grade AI development with governed
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INTELLIGENT CIO MIDDLE EAST www. intelligentcio. com