How to create business value with AI

It’s easy to get caught up in the artificial intelligence (AI) hype. But when industries or business leaders do, it creates AI myths that some executives base decisions on—big decisions. Instead of making wise, data-based moves based on what AI can actually do for business, they make decisions based on potential they might not be set up to reach—yet.

Getting it right—now—matters because business and society are rapidly adopting AI. Early in the pandemic,?84% of all organizations?expected to maintain or increase the level of organizational focus on AI, with?nearly a third?boosting their AI investments as a direct result of the pandemic.

What did we learn about the state of AI? Can AI be an enabler of top-line growth? Absolutely. For some innovative AI adopters, such as NVIDIA, NavTech, and others, AI helps create entirely new offerings and even new business models. Few enterprises, however, are using it for such broad transformation yet. Instead, they are mainly tackling discrete, tangible business problems. Organizations around the globe are using AI to help reduce costs, enrich customer and employee experiences, increase win rates, optimize supply chain performance, and much more. We also learned that many common notions about AI are actually misleading myths, churned out in the hype cycle that has become endemic to so many emerging technologies. Unfortunately, these misconceptions often deter and distract organizations from engaging with the more pragmatic realities of AI.

Separating AI myths from business reality isn’t always easy. Explore 12 examples of how organizations are creating very real business value with artificial intelligence. Get the full report and the AI examples here!