In my previous blog post I have described the tension between privacy and innovation. In this post I will discuss how to deal with this and transform challenges into opportunities. The ingredients of privacy-friendly innovation Having rules and ways to enforce those rules is key. What else do we need to innovate
I recently spoke to Thomas Gartzen, managing director of the European 4.0 Transformation Center. As well as talking about innovation labs in general, we also spoke about managing change and introducing an analytical approach to organisations. Thomas, do you think we can say that all companies are now software companies?
Industrial production is choking on data. It comes from everywhere: production lines, sensors, devices, call centers and all kinds of maintenance reports. It is tempting to just discard it, but we all know that it would be so valuable if only you could extract information from it! The question, however,
There seems to be huge concerns about how artificial intelligence (AI) will affect us all, especially replacing human jobs. There is talk about regulation, ethics and requiring companies to retrain those made redundant by algorithms. All this talk, however, has centred on the downsides of AI. What about the benefits?
The EU’s new Insurance Distribution Directive (IDD) comes into force in October this year, and will regulate how insurance products are designed and sold across the EU. The thinking behind the directive is both to provide fairer competition in the market place and to improve the protection available to customers.
Business analytics and IoT are closely intertwined, perhaps even two sides of the same coin. When used together, they open the door to an extensive range of optimisation options in various sectors, from health care to agriculture and manufacturing. Many companies, however, have found that adding value is harder than
What on earth am I talking about? Spotting insurance fraud, of course! An ex-colleague of mine used to aptly describe the traditional rules-based methods of spotting fraud as “if it walks like a duck and talks like a duck, it’s probably a duck.” This is, of course, true to a
There is a question, almost philosophical in its nature, about who should be responsible for developing new skills in the workforce. In the days when employees expected to have a job for life, and stay with the same employer for 40 years, it made sense that employers paid, and often
As someone who worked in the police force for many years, I know just how important each small piece of evidence can be in securing a conviction. So in times of tightening budgets, imagine how useful it could be to have technology that helps predict when or where crimes will
It’s a race - on one side: fast moving technologies, new business practices, new digital behaviours, the democratisation of analytics and the massive adoption of artificial intelligence (AI) and machine learning technologies. On the other side: the fundamental right of individuals to protect their privacy. On one side: what we
