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,
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
In religious mythology the existence of humankind is linked to the world of gods and spirits, narratives explaining unknowns about the world. Myths claim that the truths they communicate are valid, but in reality, they are a widely held but false belief. Soon we will see narratives like the super-intelligence Skynet in
There is general agreement that artificial intelligence (AI) will change our lives. What is less clear is exactly how and when that change will happen, and how it will look. Some of the speculation has been fairly wild. In life sciences and health care, however, the mists are now starting
Suomalaisessakin yrityskentässä pohditaan, miten tekoälyä voidaan hyödyntää kilpailuedun rakentamiseksi. Mahdollisia käyttökohteita tekoälyn hyödyntämiseksi on lähes rajaton määrä. Pörssiyhtiöiden johto on aika hyvin tietoinen mahdollisuuksista, ja yritysten strategiassa tämä aihealue alkaa olla hienosti mukana. Tästä kuulimme yhden esimerkin kesäkuun alussa SAS Business Forumissa Helsingissä, kun Konecranesin Juha Pankakoski avasi yrityksen strategiaa,
By David Smith Rowing is a “data rich sport” and multiple data sources are already being analysed by British Rowing, in particular to understand more about elite level performance. The more the coaches understand about what the data tells them, the more they can combine it with their own expertise
The strong growth of artificial intelligence (AI) and smart algorithms mean that technology — in robotics for example — is increasingly able to learn independently of any human intervention. It can therefore also operate more autonomously. Self-learning AI, however, raises plenty of questions and certainly demands some effective preconditions. It
Advanced analytics is an important part of artificial intelligence (AI). Machine learning, or the ability of computers to learn from data, rather than through programming rules, means that more complex problems can be addressed than would otherwise be possible. It is significantly easier to supply lots of data and examples
Over the past few months not a day goes by when you don’t see a news story about yet another retailer struggling to come to terms with the changes in the consumer and business marketplace. For some the result has been their ultimate demise – Toys R Us, for example.
May 4 – Star Wars Day – has come and gone again, but as always, offered a chance to have some fun with data and analytics. Mary Osborne used text analytics to show Luke Skywalker’s emotional journey across the movies, from young and idealistic to older and more jaded, but
