Cloud & AI for the Enterprise
AI and cloud investments do not fail for the same reasons. Truly understanding their differences helps executives anticipate risks, prioritize interventions, and protect value. Why AI ROI fails AI initiatives are highly dependent on people, process, and data quality. Common failure points include: AI ROI is fragile early in the lifecycle and requires careful adoption … Read more
Cloud initiatives often fail not because the technology is flawed, but because value is not captured across the full lifecycle of investment. The Cloud Value Loop shows the continuous cycle through which cloud spend drives measurable outcomes, and where inefficiencies or misalignment can erode ROI. Stage 1: Investment Planning Every dollar spent on cloud should … Read more
Investments in AI fail when organizations stop at deployment.They succeed when executives understand how value flows from technology to measurable business outcomes. The Enterprise AI Value Chain breaks down that flow into clear stages, showing where ROI is created and where it can break down. Stage 1: Opportunity Identification Every successful AI initiative begins with … Read more