Artificial intelligence (or AI) and machine learning are big buzz words today and it is easy to find all kinds of articles touting the benefits of the technology. However, business leaders are not just looking for the latest, cutting edge technology but are keenly interested in technology that can be applied to their business challenges. Brent Schroeder, SUSE chief technology officer, Americas, recently spoke on this topic at Fujitsu Forum and provided some sound advice that organizations need to think about when considering how AI can be used to drive tangible business outcomes and the findings may surprise you. If you are like me, I bet that considering the enablers was not the first thing you think about when thinking about how AI will help your organization. Yet the convergence of three key "ingredients" that Brent cites make sense – they are data, compute power and the surrounding technology that is creating and consuming the data.

Prentiss Donohue, senior vice president, professional services, OpenText outlines in Information Age the seven key steps to help AI and machine learning deliver on its full potential. Artificial intelligence (AI) and machine learning (ML) are shifting from being business buzzwords toward wider enterprise adoption. The efforts around strategies and adoption are reminiscent of the cycle and tipping point for enterprise cloud strategies four years ago when companies no longer had the option to move to the cloud and it only became a question of when? And how? AI and ML strategies are in the same evolution mode as companies build their approaches. Below are some thoughts around the how.

Artificial intelligence (AI) and machine learning (ML) are shifting from being business buzzwords toward wider enterprise adoption. The efforts around strategies and adoption are reminiscent of the cycle and tipping point for enterprise cloud strategies four years ago when companies no longer had the option to move to the cloud and it only became a question of when? And how? AI and ML strategies are in the same evolution mode as companies build their approaches. Below are some thoughts around the how. Forrester recently reported that almost two-thirds of enterprise technology decision-makers have either implemented, are currently implementing, or are expanding their use of AI.