Last week, I had the privilege of delivering a keynote presentation at Monday.com’s Elevate conference in London. The topic, “Leveraging data and artificial intelligence (AI) for organisational transformation,” allowed me to challenge some common misconceptions about AI adoption and share practical insights on harnessing the power of existing data. In this post, I outline the key themes discussed and provide some additional context.

In the wake of the meteoric rise of generative AI, it’s easy to get swept up in the hype and believe that this single branch of artificial intelligence (AI) is the whole story. Platforms like ChatGPT have undeniably captured the public imagination, marking the first mass consumerisation of AI technology. However, focusing solely on generative AI risks overshadowing the diverse and equally transformative types of AI that have been quietly but powerfully driving business innovation.

Earlier this week, I got the opportunity to speak at our Amazon Web Services (AWS) office in London, to an audience of Private Equity firms and their portfolio company executives about driving value creation through AI and data. The presentation focused on how Private Equity firms and their portfolio companies can drive value creation through AI and data. I also took the opportunity to introduce a new concept called the AI Stages of Adoption (AISA), which is designed to help organisations assess their maturity and readiness for AI adoption.

As artificial intelligence (AI) advances into the workplace rapidly, one of the most pressing questions on everyone’s mind is, “If machines can do our jobs faster, more accurately, and at a lower cost, what happens to us?” It’s true that AI is beginning to redefine the very essence of work, raising concerns about the potential displacement of knowledge workers. However, I’d like to propose an alternative perspective—one where those same workers earn the same or more whilst working far fewer hours.

I had an incredible afternoon as a guest lecturer at the The London School of Economics and Political Science (LSE) where I got to discuss harnessing AI for organisational transformation led from the Board, at this summer’s Data Science for Executives class.

The Amazon Web Services (AWS) executive’s guide to generative AI is out now; I spoke to Duncan Jefferies about how businesses can use generative AI to drive organisational transformation.

Tonight I got an opportunity to speak at the Chief Wine Officer event hosted by AWS, to an audience of AWS customers about generative Artificial Intelligence (AI), the opportunities it creates, and how customers are using it to accelerate business transformation.

I recently hosted a fireside chat for the AWS Summit EMEA with Intel’ Global Leader for AI Solutions, Monica Livingston. We discussed how Artificial Intelligence (AI) and Machine Learning (ML) are quickly becoming ubiquitous in business. The conversation prompted me to think about how Boards should be thinking about the use of AI and ML in their businesses, and how they need to ensure they are making the right decisions at the speed of light.

Whilst in Hong Kong for the AWS Transformation Day, some of my AWS colleagues and I sat down with Edge Markets (a publication in Malaysia) to talk about AI and the power of the cloud in helping businesses adopt AI and ML to accelerate business outcomes. You can read the whole interview here.