I recently did another podcast with S&P Global - this time focused on the challenges of getting AI to scale and what that means in terms of technology, skills and other resources. We also addressed this in my presentation at 451 Nexus .

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I did another 451 research podcast recently, this time on use cases across the six industries I cover: finance, manufacturing, healthcare/life sciences, energy/oil & gas and telecommunications. We also spend some time talking about MLOps, which is key for enabling AI to scale. Get it on Apple, Spotify or wherever you get your podcasts.   … Continue reading A new podcast on AI/ML use cases and MLOps →

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One of the great thing about being part of S&P Global is you get to work with AI practitioners, due in part to the company's acquisition of Kensho back in March 2018 to complement and expand an existing data science team. On a recent S&P Global podcast I was joined by Peter Licursi, product manager… Continue reading New podcast on AI use cases & the resurgence of NLP →

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Here is a report from the S&P Global Market Intelligence news team based on a chat with me & our new Voice of the Enterprise AI & Machine Learning Use Cases 2021 survey, including some data on business benefits & skills shortages. One of the things I highlighted was the shift in the sorts of… Continue reading AI use, adoption gains momentum with enterprise amid pandemic →

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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 →

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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 →

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Concerns about ethical and responsible use of AI are as old as the discipline itself. But so far it has been rare in our modern (i.e. from about 2012 onwards) AI journey to find these concerns being put into the practice of shipping software by the companies that build and sell AI software beyond laying… Continue reading Responsible AI, the Microsoft way →

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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 →

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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 →

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I have a slide I use a lot at the moment in presentations and it looks like this: It offers a simple - but hopefully not simplistic - way of looking at the opportunity AI and machine learning presents us in the overall framework of automation. When I present, the three elements in the slide… Continue reading A simple way to look at the AI opportunity →

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