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.

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’s = 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.

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.

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.

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.

The Amazon Web Services (AWS) executive’s guide to the digital workplace is out now; I spoke to Chris Stokel-Walker about how digital transformation can contribute to a company’s long-term success.

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.