2021 AI and machine learning outlook

I wrote a 2021 outlook to highlight the areas in AI and machine learning I think will be important this year. It's been turned into an S&P Global Market Intelligence blog post. At a high level, the areas are Skills shortages are no longer just about data scientists Large language models look set to change… Continue reading 2021 AI and machine learning outlook

The UK’s AI roadmap

The UK AI Council, a non-statutory expert committee of independent advisers set up in 2019 published its AI Roadmap today. I've long been interested - and occasionally frustrated - by the issue of so-called AI nationalism. But there are undeniably hotspots of AI and London was certainly the pre-eminent one pre-Brexit in, as I noted… Continue reading The UK’s AI roadmap

Taking a post-Covid look at AI adoption by industry

As Microsoft CEO Satya Nadella put it on the company's fiscal Q320 earnings call on April 29, As COVID-19 impacts every aspect of our work and life, we have seen 2 years' worth of digital transformation in 2 months. Things are changing very quickly in certain areas of the technology sector and so surveys we… Continue reading Taking a post-Covid look at AI adoption by industry

New AI & Machine Learning research coming from 451 in 2020

As we come to the end of 2019 - and indeed the decade - I wanted to give you a heads-up of forthcoming Voice of the Enterprise AI & Machine Learning survey research coming in January, so I made a 1-minute video that explains it all. https://youtu.be/5jVJee1rzxo If you want to know more about trends… Continue reading New AI & Machine Learning research coming from 451 in 2020

Why AI value comes from industry-specific applications

One of the questions I get asked the most, especially when speaking at conferences is a version of the following: I am not Google or Facebook or Tencent or Alibaba. So what can AI do for me? The implied follow-up question is that given we know AI is driven by data and these organizations have… Continue reading Why AI value comes from industry-specific applications

AI use cases in four key industries

AI and machine learning should not be an end in itself for organizations; it should be adopted for sound business reasons. And as an omni-use technology, we see that happening in all sorts of industries and use cases - from agriculture to space exploration. But as it begins to be adopted we see the use… Continue reading AI use cases in four key industries

The Current & Future State of AI & Machine Learning

My new report from 451 Research - 'The Current and Future State of AI and Machine Learning' brings together the key points about AI & ML I've been writing, speaking to clients and presenting about for the past two years. If you agree that technology adoption - like so many other trends - takes the form… Continue reading The Current & Future State of AI & Machine Learning

Healthcare IT is hard – even with AI & machine learning – but we should pursue it

Healthcare IT is hard. I bring this up as the drumbeat of negative press about IBM Watson has been getting louder recently, especially around healthcare. And now comes this comprehensive report from STAT News - a well-respected source in the health sector - on IBM's efforts with Watson for Oncology. The report outlines the struggles clinicians have… Continue reading Healthcare IT is hard – even with AI & machine learning – but we should pursue it

Dreamforce: a bit Uber the top, but Salesforce drives into new neighborhoods

One of the announcements that came out of Salesforce's recent Dreamforce conference is that the Internet of Things (IoT) is its latest area of focus. As the poster child for the SaaS model, Salesforce has already changed the application software business. It has racked up a market capitalization nudging ever closer to $50bn, and revenue… Continue reading Dreamforce: a bit Uber the top, but Salesforce drives into new neighborhoods