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A restaurant cannot survive without customers. It does not matter how cutting-edge or delicious its food, or how many Michelin stars it has earned. The equation is simple: If it has no diners, there will be no income, and the restaurant will go out of business. This insight could be
Data quality is a topic that is often discussed in insurance, but also plays a subordinate role in the project day. I asked Karen Prillwitz about the importance of data quality at large insurers. For many years Karen has advised insurance companies, and as a project manager in a large
Richard David Precht is probably writing a book on Artificial Intelligence as we speak - and it would not be a bad idea if people were able to find out about this subject without having to be specialists themselves. It became clear already in 2017 that AI will affect us all. Whether you believe,
Being active, and active monitoring are such different things. Monitoring transactions for anti-money laundering purposes has been a mainstay of financial services organisations for a long time. Typically implemented through a TMS, identification of cases is automated for further investigation. The investigation process has significant operational implications – from a risk and
Excellent quality of patient treatment and patient safety is highly prioritised on the health care agenda in the Nordic countries. As a result, the demand for measuring quality has increased, and is closely followed by certain special demands for documentation and data quality. If not handled intelligently, this can be
How ready is your insurance organisation for the advent of AI? In the summer of 2017 I took part in a pan EMEA review of the readiness of Insurance companies for implementing AI, the full report can be found here: Pragmatic AI for Insurance. Some of the findings were surprising,