The high cost of error has curbed AI deployment in enterprise settings. Consumer adoption of generative AI, most famously exhibited by ChatGPT, has been the fastest in the history of any technology product—faster than the PC, internet, or smartphone. The enterprise market has also embraced it, and it’s hard to find a CEO of a major corporation who doesn’t present their company as being AI-first or planning to become so. Yet for all the mass AI investment and experimentation going on, the fraction of enterprise gen AI projects that reach production deployment is tiny (6%, according to an AWS study ). Why? Some of it is due to a natural learning curve—but most of it has to do with the unique nature of this particular technology. Gen AI has […]
Original web page at fortune.com
