FULL DEPLOYMENT LEVELS How would you characterize the status of your SIGNAL HEALTHY MOMENTUM organization’s deployment of AI? If you, like many observers, assume that AI is still primarily a sandbox exercise, these survey results hold some surprises. FULLY DEPLOYED: MULTIPLE 32% USE CASES/LINES OF BUSINESS To be sure, some respondents – 28 percent of those who have deployed or are deploying AI indicated that they have AI “partially deployed as an experiment.” No surprises there. Interestingly, though, slightly more respondents (32 percent) report that their AI capabilities are “fully deployed, in multiple use cases or lines of FULLY DEPLOYED FOR A 14% business.” SINGLE USE CASE What’s going on here? There are a number of possible interpretations. Rumman Chowdhury, Accenture’s Responsible AI Lead, suggests that it’s important to understand adoption rates through the lens of industry. “There are pockets of real progress,” PARTIALLY DEPLOYED 28% she says. “Just look at the financial services industry, where there’s AS AN EXPERIMENT widespread use of AI, both internally and customer-facing. In others, not so much. In retail, for example, only 9 percent report that AI is fully deployed. Among those I’m talking to every day, I tend to see much more tentative deployment in the overall marketplace – but it’s accompanied by a ton of interest.” DEPLOYED AS A 14% PROTOTYPE OR SANDBOX “Generally speaking, the progress of AI is unparalleled,” says Intel’s Greer. “We’ve seen some very positive first impressions regarding how AI can actually be used – and we have a long way to go. We’ve seen more sophistication from our customers, who are looking for us to be much clearer in our explanations of AI, and in NOT YET DEPLOYED 13% illuminating important differences between different types of AI ANYWHERE, BUT IT IS CLOSE and analytics technologies – from augmented reality and machine learning to deep learning, automated forecasting and many more 0 5 10 15 20 25 30 35 – so we don’t treat AI as the hammer to every nail.” 10