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
I've always been intrigued by the problem and opportunities around unstructured data. Why? Because computers weren't originally designed to handle it and yet it is the way we human beings communicate. We don't communicate in structured data that fits into rows and columns of a relational database. We communicate in words, but also increasingly in… Continue reading Unstructured data redux
The name of our company was inspired by the science-fiction novel Fahrenheit 451 by Ray Bradbury, originally published in 1953. The idea for the company name itself was thought up by Simon Carruthers - one of the four founders of the company, along with John Abbott, William Fellows and myself - in a pub we… Continue reading The story behind the ‘451’ name
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
Google’s recent Let’s Talk AI event in SanFrancisco looks like being the last major customer event led by Diane Greene, as we recently found out that Google has hired Thomas Kurian, an Oracle veteran that left that company over the summer. He joins Google November 26, before taking the reins from Greene in January. A lot… Continue reading The Kurian case for Google & machine learning
Today marks the official launch of 451 Research's new survey products focused on AI & Machine Learning, called Voice of the Enterprise (VotE) AI & Machine Learning: Adoption, Drivers and Stakeholders 2018. I made a video explaining more about it, which you can see via Twitter here. I'm very excited about this launch because while it's… Continue reading What is the Voice of the Enterprise saying about AI & Machine Learning?
At the recent Google Cloud Next conference, the company's Google's enterprise division made a plethora of announcements, the details of which are here and there are links to our analysis of it all at the end of this post. One of my key takeaways was that Google sees the biggest barrier to machine learning as its biggest… Continue reading For Google, the biggest barrier to AI is its biggest opportunity in AI