""What happens is companies say, 'In every single domain, I'm going to unleash innovation, and I'm going to have AI enablement.' I think that's the wrong strategy," Dubey said at the Fortune Global Forum in Riyadh on Sunday. The right strategy, he says, is to "pick one or two domains that are going to create disproportionate economic value for the company and go end to end.""
"FedEx has been intentional about integrating AI into three broad areas: internal operations, customer experience, and creating new value levers for customers (such as improving demand forecasting and reducing returns), said Kami Viswanathan, FedEx's president of the Middle East, Indian Subcontinent, and Africa region. "Research has shown that organizations that have a clear AI strategy, which has this prioritization, have a much greater degree of success than others that don't, right? So for us, that's the key aspect of scaling.""
"Scaling gen AI projects beyond the pilot phase is fundamental to turning the current AI hype cycle into real ROI. Deploying AI across an organization comes with risks and requires adequate safeguards, said Fabio Kuhn, CEO of Vortexa, a cargo tracking and energy market research firm whose customers can query its data via a chat bot. Human supervision is essential to limiting hallucinations and keeping any that do slip through from shaping decision making, he said."
A July MIT study found 95% of organizations receive no measurable return from generative AI investments. Scaling generative AI projects beyond pilots is essential to realize real ROI. Companies should avoid applying AI across every domain and instead focus on one or two domains that can create disproportionate economic value, implementing end-to-end solutions. Examples include underwriting in insurance and supply chains in manufacturing. FedEx integrates AI into internal operations, customer experience, and new customer value levers, emphasizing prioritization. Deploying AI requires safeguards and human supervision to limit hallucinations and prevent flawed decision making.
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