Enterprise AI Adoption Playbook

9 Jul 2019
by Abhishek Singh, Alisha Mittal, Abhishek Mundra

Although Artificial Intelligence (AI) has been around for decades, both its hype and adoption have grown exponentially in the past few years. Enterprises are recognizing the value of AI as a competitive differentiator and value creator, and many are already investing in AI. In our recent survey of IT heads of 200 global enterprises, 65% have already invested in some AI project. However, while interest and investment are high, AI is far from pervasive in most enterprises’ business strategies. In fact, more than 80% of the enterprise executives told us that they were unable to adopt AI at scale or achieve any significant business outcomes. Lack of talent, poor data management, and misalignment with the business context are some factors that act as barriers to enterprise wide AI adoption. Other issues such as change management and failure in early projects are some other factors that are forcing enterprises to take a highly risk averse approach towards their AI investments.

Drawn from our experience of working with the leading technology majors such as Google, Microsoft, AWS, and some other non-technology firms that have been able to successfully adopt AI, we have compiled this playbook that would help enterprises build a roadmap to achieve business outcomes from their AI investments. In this research, we will walk you through five key commandments that any enterprise needs to follow whether they are making early in roads in AI investment or scaling up their existing AI initiatives:


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