Amsterdam is quickly developing in the field of Artificial Intelligence. Led by investment from the City of Amsterdam, a wealth of talent, collaborations between cutting-edge researchers and corporate innovators and educational programmes, the Dutch capital is harnessing AI’s potential to improve people’s quality of life and improve its established business sectors.
A collective name for technologies which imitate human intelligence, or even surpass it, AI includes machines using skills such as predicting, learning and reasoning. But the buzzwords of AI and machine learning means nothing if research and innovation don’t result in tangible changes to everyday life, whether for businesses or citizens. With that in mind, we’ve rounded-up some examples of businesses and organisations in the Amsterdam Area and the Netherlands using AI to help improve their services and customer satisfaction in their everyday operations.
If the Dutch police decided to try and solve all the cold cases in their archive today, just reading the roughly 30 million sheets of paper related to them would take around 50 years. By the time they started investigating the crimes, both the perpetrators and the detectives would probably be dead. But in a world-first, a new police department in the Netherlands (mysteriously named Q) is using AI and machine learning to identify historic crimes which, using their modern DNA database, police might now be able to solve.
Using forensic screening, the AI ranks digitised cases by solvability, showing detectives where best to focus their resources. For now, the AI is focusing only on finding possible DNA evidence in cold cases, but Q’s team of analysts and detectives are confident that they can adapt the tech to recognise other forensic evidence as well, and maybe eventually non-forensic evidence, such as witness statements. If that were to happen, then the police say the system might even be able to identify the best leads in the so-called ‘golden hours’ of a case, right after the crime has taken place.
It might not make a difference to the lives of the general public, but SciSports is certainly improving the performance of professional football players (and so perhaps your favourite team). Using a database of information about players’ performances, the firm takes this real-time data and applies machine learning, deep learning and artificial intelligence to advise football clubs on the best composition of their team. Their technology also helps football clubs identify the talent of the future and improve players’ performances. Founded in 2013, SciSports is now one of the world’s fastest-growing sports analytics companies and works with football clubs around the world. One notable recent success was helping the Belgium national team reach the semi-finals of the 2018 World Cup.
ABN AMRO’s innovations using AI are almost too many to list. The bank is constantly experimenting to find out how it can improve its own internal processes, how to use it to help clients and how its staff can use AI to provide a better service to clients. Take ABN AMRO’s financial advice app, Grip, an intelligent digital assistant that gives clients insight into their income and expenditure – and can advise how much they need to save for their summer holiday, or how much money they need to keep in their debit account to pay their monthly expenses. ABN AMRO is also investigating how it can help managers provide clients with a more proactive service with intelligent analyses, and how to automate time-consuming and monotonous manual processes by leaving them to computers, such as risk analyses and fraud detection.
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KLM Royal Dutch Airlines
Ever left wondering which gate your flight is actually leaving from, or whether you can take that extra bottle of wine home from holiday with you? Well, you might have messaged your airline asking for an answer to your question. But if you were flying with KLM, what you might not have known is that your answer actually came from an artificial intelligence. Yes, in a system built in collaboration with DigitalGenius, KLM’s AI is now able to automate the answers to the most common questions on any subject without the interference of a human service agent. If that wasn’t enough, the airline recently announced a pioneering AI partnership with Boston Consulting Group that they say could ‘revolutionise global airline operations’. The jointly-developed system will digitise KLM’s entire commercial aviation process and use advanced machine learning tech to streamline its operations, improving its decision making, minimising delays and improving maintenance processes. In the world of AI, KLM is really flying.
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Amsterdam’s Pacmed uses large volumes of anonymous data to help doctors prescribe the best treatments for their patients. Its decision support tools combine machine learning with medical expertise, using algorithms which compare the results of hundreds of thousands of other patients to advise which treatment works best for whom. Currently Pacmed’s software is being used to help GPs treat urinary tract infections. Pacmed, founded in 2015, is also working on the development of software which would minimise death and re-admission when discharging patients from intensive to regular care in hospitals. With big ambitions, the company is also developing tools which would advise oncology, psychiatry, cardiology and emergency care professionals.
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Find out more about AI in Amsterdam and the Netherlands.