Tagged with: #machine-learning

McKinsey’s 2025 research shows whilst 88% of organisations use AI, only 23% have successfully scaled agentic systems — and even fewer integrate disciplines beyond generative, limiting value to linear gains rather than exponential growth. In this article, I expand the agentic AI definition from “generative AI in a loop” to compound loops that coordinate multiple AI disciplines simultaneously, creating interaction effects that multiply capabilities, simplify governance through unified frameworks, and enable Boards to tackle broader business challenges for lasting competitive advantage.

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.

Custom Model Import is game changing! If you own your own corpus of data and are using it to train your own models, you can now bring those models to Amazon Bedrock’s secure, managed environment.

Just as we were catching our breath on Claude 3 Opus arriving on Amazon Bedrock, here we go again, this time it’s Meta’s Llama 3 model - designed for you to build, experiment, and responsibly scale your generative artificial intelligence (AI) applications; now with improvements in reasoning, code generation, and instruction.

This just in! Anthropic’s Claude 3 Opus foundation model is now available on Amazon Bedrock, joining Claude Sonnet and Claude Haiku. Bedrock is now the first and only place to offer all three Claude 3 models in general availability.

I recently spoke with Duncan Jefferies about how businesses can effectively harness generative AI to drive organisational transformation. The resulting AWS executive’s guide to generative AI offers a comprehensive roadmap for business leaders navigating this transformative technology. Here are the key insights and practical steps for organisations looking to unlock the potential of generative AI.

Given Adam’s announcement yesterday about Amazon PartyRock powered by Amazon Bedrock, I decided I couldn’t wait to get my hands on it and see what kind of app I could build.

I recently hosted a fireside chat for the AWS Summit EMEA with Intel’s 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.