Thanks to ChatGPT’s skyrocketing popularity, 2023 is emerging as a breakout year for generative AI. The prototype chatbot has singlehandedly catapulted large language models out of data and research labs—and into enterprise business strategies. And yet, generative AI’s ability to create new text, images and audio makes it a far more disruptive technology than businesses have previously experienced. Microchips, cloud computing, 5G—all pale in comparison to generative AI’s potential to change our world and the way we live and work in it. For enterprises, the use cases are impressive, as they illustrate generative AI’s ability to increase efficiency and productivity, reduce costs and introduce new areas of growth. But the buzz obscures an important reality: Along with the wide-ranging applications comes confusion. Enterprises struggle with FOMO and uncertainty over how generative AI could impact their business. We’re here to demystify it. Read on to gain a clear view of why generative AI is different for business, and how to balance the science behind it with the problem solving and engineering needed to make it succeed.
