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From AI pilots to portfolio value
A proven AI use case can create a starting point for the next portfolio company. By capturing reusable patterns, assets, and lessons, private equity operating teams can help teams avoid repeated discovery and advance the next business opportunity. An AI initiative reaches production at one portfolio company. Its business owner can show an improvement in…
From Data Silos to Decision Intelligence
From data silos to decision intelligence How retailers can turn fragmented enterprise data into faster, more trusted inventory decisions Inventory decisions need connected context A projected stockout can involve more than demand. Promotions, supplier lead times, distribution centre inventory, substitutes and transport capacity can all affect what happens next. This perspective paper explores how retailers…
AI doesn’t have a technology problem. It has an operating model problem.
An operating model for business innovation connects AI investment to governed execution, adoption, and measurable business outcomes. When business units fund their own AI initiatives, a CIO can inherit responsibility for security and integration without a shared view of what those initiatives should deliver. The business has approved investment, and technology teams are managing the…
Why enterprise AI pilots fail to deliver business impact
A convincing AI demonstration does not guarantee business value. Explore six gaps that keep enterprise AI pilots from delivering sustained impact, with four practical questions to assess ownership, data, decision authority and readiness for live use.
