In brief

Since the launch of Chat GPT at the end of 2022, the potential impact of AI, especially Generative-AI, has rarely been out of the news. With scare stories about the potential impact on employment for a range of roles, through to public and embarrassing failures, AI and Gen AI have provided good material for journalists worldwide. At the same time, organisations across a breadth of industries have begun realising material benefits from AI with little fanfare.

Upon reflection, the distinction between the successes and failures provides a useful insight on how AI and Gen AI can be successfully leveraged and scaled with underlying guidelines of adoption to ensure true value realisation. Additionally, understanding why and where AI has succeeded enables additional use cases to be envisaged and a real competitive advantage to be developed.

This paper covers:

• What, in its broadest sense, is AI?
• Why adoption has been less than envisaged?
• What can we learn from the failures?
• What do the successes have in common?