Andreas Becks leads a team of insurance experts, data governance professionals and data scientists advising insurance clients on how to use analytics to generate value and drive transformation in a changing market. His main focus is on data-based innovation and industrialization of analytics. His expertise in artificial intelligence, and deep knowledge of business intelligence and analytics mean that he is well-placed to help insurers to reimagine their business models and drive cultural change.
Digitalization, big data and AI are changing the role of insurance and, therefore, the role of actuaries. A lot of reports – like McKinsey’s Insurance 2030, Deloitte’s “The Exponential Actuary," or the Big Data and Insurance report by the Geneva Association (a leading think tank of insurance CEOs) depict aspects
In my previous blog post, I introduced the “four pillars of trust” for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. But what about the “black box” of machine learning algorithms? Here, too, the analytical platform must guarantee transparency. The good news
In the first part of this series, I argued that dealing with artificial intelligence (AI) and ethics is not a purely philosophical or sociopolitical issue. One thing is clear: The ethics debates will continue this year, and they will be more about the realistic possibilities and risks of AI. Companies
When we talk about artificial intelligence (AI) and ethics, we are not referring primarily to dystopian applications in which an autonomous robot stubbornly makes decisions about life and death without human control in Terminator fashion. Of course, this does not mean that a critical discourse, for example, on autonomous weapons,
"Hello, Mr Kaiser!" Remember him? At least our dear German readers will: From the 1970s to the early 2000s he came to our living room before every newsreel. As the insurance representative of the nation, he embodied trust, closeness and fairness. Whether property, casualty or motor vehicle insurance, Günther Kaiser
Will AI dramatically accelerate the division of our society into the “elite” and the “worried rest”? For example, will there be highly effective personalized medicine that only very few can afford? Will AI take over the automatable jobs of the middle class, while the highly qualified elite maintains or even
In the Cologne district of Mülheim, not far from Keupstrasse with its oriental charm of doner restaurants, baklava, cafés and mosques, and next to old brick halls, concert halls and television studios, lies Carlswerk, a large former industrial area that has been transformed by the arrival of both new and
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
Ever dream of living somewhere that has free public transportation? Or the highest concentration of self-made millionaires? Maybe an area where every resident has the equivalent of five tennis courts of green space, and there are 84,274.6 km of walkways? You can have it all in West Perth! At least
Artificial intelligence (AI), machine learning and deep learning are currently some of the hottest topics around. There are good reasons for that. Apps, software, machines and vehicles are getting smarter. We talk to our smartphones. Cars will soon be able to drive themselves. Automatic translation from one language to another
