By George Lawton
The AI value gap
CIOs and business leaders also need to clarify their expectations of how different categories of AI technology provide real business value.
“The biggest challenge to integrating AI into existing business processes is confusion over what AI is really good for, especially in the context of business operations, as opposed to specialized technical and scientific applications,” said Jason Bloomberg, founder and president of Intellyx, a digital transformation analyst firm. For all its power to enhance business processes, AI can’t run a business — its current state falls far short of that kind of general-purpose application of AI.
Bloomberg sees tools like RPA and digital process automation (DPA) providing AI-supported capabilities like next best action functionality, which is essentially an auto-complete for workflows. Businesses are finding value in weaving natural language processing into DPA workflows for use cases involving virtual assistants and chatbots.
