A spectre is haunting economy – the spectre of digitization. All the powers of old economy have entered into a holy alliance to exercise this spectre. But other than the communism (obviously the first two sentences are stolen from the Communist Manifesto by Marx and Engels from 1848) – this
Artificial intelligence (AI) is the subject of considerable discussion across industry sectors around the world. Telecoms companies are showing considerable interest in the potential of AI, whether at the front end—customer service—or to improve service delivery via better network performance and reliability. There are a number of different AI technologies
Stephen Hawking’s latest warning is stark. Robots and artificial intelligence (AI) have already played havoc with working class jobs in factories and heavy industry. Now they are set to do the same with middle class jobs, from legal work, through financial services to computer programming. Cue economic turmoil, unemployment, and
It is a truth universally acknowledged that there is huge potential for public services to be transformed by artificial intelligence (AI). Longevity is rapidly increasing. We are living longer and healthier lives and the population growth is slowing down. The working age population is shrinking and with that comes a
Telecoms players don’t get a lot of positive press coverage, if we’re honest. With roaming charges and expensive long-term contracts, it can be hard to find anyone prepared to stand up for the telco industry. I think that needs to change. I have been part of this community for almost 20
Predictive modelling solutions typically rely on the availability of good quality data and subsequent models which are estimated in advance using historical data. For example, a credit scoring framework to predict propensity of customer default requires the use of clean processed transactional and demographic data. Datasets used for this type
Governments are already using data and analytics in a number of ways to help them become better informed and provide superior services for their citizens. For both central and local governments, an increasing number of back end processing and citizen engagement opportunities are emerging for smart use of artificial intelligence
The digital revolution requires an ever-increasing number of repetitive and targeted decisions. The digital revolution is faster and more comprehensive than the Industrial Revolution at the beginning of the last century. It requires less capital, and focuses on intellectual and digital innovation, which is affordable to many. The innovations produced
A self-driving car made headlines last summer when its human ‘driver’ was killed in an accident. Both car and driver had failed to spot a lorry across the road ahead, because the whiteness of the truck was too similar to the sky. A mistake, by both driver and car, but with
Machine learning has been around for a while, with the earliest techniques developed in the 1950s. It is currently enjoying a particularly high profile, thanks to a whole range of possible applications from self-driving cars through to Go-playing computers. But what exactly is it? I’ve just finished diving into Josefin
