Twelve years ago, in 2006, Time magazine made an interesting move in deciding on its “Person of the Year.” Instead of one of the many eminent scientists, world leaders, or stars of stage and screen who had influenced the world that year, Time chose to recognise a social phenomenon. It
When I ask people what they think the Internet of Things (IoT) is all about, the vast majority will say “smart homes,” probably based on personal experience. If I say that it is also about industries making using of data from sensors, then most people’s immediate reaction is to think
It is a truth universally acknowledged – if not always acted upon – that advanced analytics, and AI in particular, need data. What’s more, it needs lots of data, and it needs to be relevant and of good quality. Companies with access to more data tend to perform better, which
In my previous blog post, I talked about how both retailers and consumers can benefit from applications of artificial intelligence and discussed some compelling use cases. I would like to take this post a step further and delve into a particular bugbear of mine: the struggle to find the right size. In
Much of the discussion about AI centres on what the algorithms can do, as well as the potential for change and/or disaster. But what about the team behind the algorithms? Few discussions have focused on this most essential group, and not just the modellers, but the data sources, the trainers,
Analytics platforms have a lot to live up to. The scope may be fairly straightforward, but expectations can be high, and there is a wide range of users and customers, all of whom have slightly different needs. This post explores what IT decision makers can expect from an analytics platform.
For part 7 of this series, I had the pleasure of interviewing mathematician, former colleague, and data science “rock star” Longhow Lam. Since there’s no need for an office for his one-person company, we decided to meet for lunch in a very hot (31 degrees) and sunny Amstelveen city
Data governance is not an old concept; at SAS we have been pitching data governance benefits for years. However, it is often seen as something that is nice to have, even though it is a recognized method for mitigating risk, increasing operational efficiency, and enabling innovation. This is the first
Gartner expects artificial intelligence (AI) to create 2 million new jobs by 2025. AI and machine learning are already an important part of business processes and business areas in many companies and organisations, making everyday work easier, optimising interactions with customers, reliably predicting the failure of machines or supporting the
Amy Shepherd, a recent graduate from The University of Nottingham, has spent the summer as an intern at SAS UK. As a last task we have asked her to share her final thoughts on what it's been like to undertake an internship. My time here at SAS has been varied to say the least, I arrived
