Why Companies Struggle to Choose the Right AI Use Cases?

If you don’t choose the right AI use cases, you likely won’t be addressing the right problems. The pressure to enhance operational efficiencies and innovate can make this challenging. Relying on generic tools or following trends without a deep understanding of the company’s data and AI capabilities can lead to analysis paralysis or projects that fall short of expectations. In this video, Lucas Nottaris, Partner at Visium, shares his observations and insights on common challenges companies face when identifying and prioritizing AI use cases.