March 20, 2018
Autonomous cars have been a hot topic for a couple of years now. It is indeed a very interesting and complex technical challenge connected to potential resolution of very serious problems and innovative use cases. But it is also about culture and liability which I believe always takes very long time to cope with.
The tragic news that a car in an autonomous trial in US killed a woman yesterday can’t be a surprise to anyone. There has been a lot of accidents with autonomous cars before, traffic is very dangerous and cars kill people every day. Each accident is followed up carefully to understand what happened, why and who is to be blamed for what. Traffic rules, law, policies, insurances, vendor responsibilities etc are in place to help deal with these tragic events. Here is the core problem with autonomous cars – when a car make a mistake, who is liable? And, do I want to meet self-driving cars on the road or fly airplanes without pilots?
Already in the Reuter article we start to see arguments about who owned the software in the car, which brand it had, if the car actually did anything wrong or if a person driving would have been able to avoid the collision. Also that the woman seems to have walked outside the crosswalk, that she had a bicycle and that she might have been homeless. But truth is that it is unclear who is responsible and for what.
I remain convinced that we will not have self-driving cars on normal roads together with other traffic and in normal speed until you and I are ready to have our kids walking to school meeting those cars. My best guess is not before 2030. And given that “rain, snow and ice are particularly challenging for autonomous cars” maybe we just should forget about it in Sweden.
July 7, 2017
Digitalisation is frequently used as the name of the game today. But digitalisation, i.e. conversation from analog to digital representation of information, started some 60 years ago and has been going on ever since. When a process is fully digitalised, from end to end, the process will be much more efficient than before. But most processes today are only partially digitalised which is like building a bridge and leve some meters here and there. Let’s take the example of a smart electricity meter, where the collection of usage data is digitalised and hopefully the receiving systems at the energy company. But then the processed details often are put on paper and sent to the customer who hopefully pays in a digital fashion or god forbid calls customer service.
A fully digitalised process is quite efficient but more importantly it is a great starting point for artificial intelligence in any form or shape to be applied. Imagine that we could move the simplest 30% of the decisions in a process from people to computers. What would that mean to your organisation’s cost, quality and speed of execution, and not to forget your competitiveness? What if we could add an algorithm making our system self-learning thus provide qualified decision support for the remaining decisions made by your staff and maybe even advise to your customers. This is what Digital Transformation is about and that is what we should talk about rather than digitalisation.
It is IoT that adds the last meters of the digital bridge. By connecting the real world to the Internet where we already have people and organisations we can start complete the digitalisation of our processes – a sensor that tells when a door is open, where a car is located, when it’s time to repair a fridge or when the level of carbon dioxide is too high. And this is exactly what the more progressive organisations are working on right now. And since organisations and processes are quite unique there are a huge amount of opportunities for companies to develop algorithms to support specific processes. I already have many members in my alliance for Swedish IoT startups working with machine learning including Ekkono, Watty, Aifloo, CombiQ, BellPal and Imagimob.
The effects of Digital Transformation will be massive in all industries and large-scale redundancy will definitely hit white-collar employees as organisations get their act together. I miss awareness and a serious debate about this in Sweden since it limits our chances to come out of this transition strong, the longer we wait to address the challenge.