Although it scarcely matters in the grand scheme of life, here are some thoughts on what a post-Covid-19 technology industry might look like - and the world beyond. All we know at this point in late March that the effect on our health, liberty and economic status will either be short and sharp, or long… Continue reading What might a post-Covid-19 world look like?
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
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
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
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
I'm always grateful when people ask me to speak at their events - it's a privilege never to be taken for granted that people are willing to spend their valuable time listening to what I have to say. But I thought it might be useful for some to know the themes of my talks through the… Continue reading Autumn 2019 speaking gig themes
The core of machine learning is mathematical computations that, for most enterprises, are unprecedented in both complexity and volume. These workloads increasingly require high-performance or application-specific infrastructure to ensure AI systems can be built and deployed quickly. Therefore, the development and deployment of machine learning models requires infrastructure that is fast, scalable, dynamic and cost-effective.… Continue reading AI infrastructure – are you ready?
AI is an omni-purpose technology that can bring improvements in efficiency and insights to almost any business process. But through my qualitative and quantitive research and conversations with practitioners, I've found that the use cases for AI and machine learning get very industry-specific, very quickly. That’s because they are driven by data and each company's… Continue reading AI platforms arriving soon
In May last year I pointed out the huge breadth and depth of research coverage of machine learning we have here at 451 Research. It's time to update that, using the 'further reading' list from our recently-published annual report, The Current and Future State of AI and Machine Learning 2019. I started covering machine learning in… Continue reading At 451 Research, we’ve got AI & machine learning covered (part 2)
Today Microsoft and OpenAI announced a multi-year partnership, including a $1bn investment by Microsoft in OpenAI, a prominent AI research organization. OpenAI was founded in 2015 by Elon Musk and Sam Altman, founded with the goal of developing Artificial General Intelligence (AGI) for the common good with $1bn in backing from prominent Silicon Valley figures including… Continue reading Microsoft-OpenAI partnership is a big deal for AI development