Well-posed problems

Jacques Hadamard (1865-1963) was a leading light of French mathematics. He defined the term “well-posed problem”: a problem that has a unique solution that changes continuously (without leaps) with the initial conditions. Typical compliance problems (name matching, transaction monitoring, wallet screening) do not fulfill these conditions, and are known as “ill-posed problems.”

Jacques Hadamard portrait

Ill-posed problems are typically the subject of machine learning methods and artificial intelligence, including statistical learning. These methods do not aim to find the perfect solution; rather, they aim to find the best possible solution and/or the solution with the least errors. As John W. Tukey (1962) aptly said: “Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.”

Complete Revision of the Federal Data Protection Act

Complete Revision of the Federal Data Protection Act: „As of 15th September 2017, draft and report for a completely revised Federal Data Protection Act is public. In a first step parliament and the people agreed to adaptations in order to be compliant with EU law. The second part of the revision is debated by the parliament since September 2019. Data Protection is to be increased by giving people more control over their private data as well as reinforcing transparency regarding the handling of confidential data.”

Links: datenrecht.ch

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