FEATURE oversight. For us, value creation and governance go hand in hand, allowing AI to deliver sustainable impact across the organisation.
Dr. Hazem Shatila, Chief AI Officer, Elsewedy Electric
How are you ensuring strong governance and standardisation as AI is scaled across multiple business functions?
We are scaling AI through a unified, enterprisewide governance model that covers both corporate functions and industrial operations. IBM’ s watsonx. ai is enabling us to build, govern and deploy enterprise-grade Generative AI models using trusted data.
watsonx orchestrate brings AI into Enterprise operations by automating workflows, coordinating digital agents and scaling govern execution. This approach ensures that AI is deployed in a consistent and co-ordinated manner across the organisation.
By working with IBM, we have focused on standardising the full AI lifecycle, from how use cases are identified and prioritised to how they are approved, deployed and monitored. This includes clear controls around data, validation, accountability and oversight, ensuring transparency and consistency at every stage.
This level of standardisation is particularly important in factory environments, where AI must support not only efficiency and decisionmaking, but also safe and reliable operations. By embedding governance into the way AI systems are developed and deployed, we are creating a strong foundation for scalable, long-term impact.
What criteria do you use to prioritise high-impact AI use cases across the organisation?
Prioritisation is driven by a combination of strategic relevance and measurable business impact. We focus on use cases where AI can deliver clear improvements, particularly in areas that involve large volumes of data, repetitive processes or complex forecasting.
At the same time, we assess data readiness and implementation feasibility to ensure that use cases can be deployed effectively. Scalability is also a key consideration, as successful www. intelligentcio. com
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