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In today's digital world, a huge amount of data is already being collected and every day we are adding new data sources. But data alone does not lead to smart decisions. Companies and public institutions must first salvage the treasure that is in the data. Whereas in the past it was mainly a matter of evaluating structured data, modern machine learning methods like Deep Learning allow more and more insights and thus enable ever better decisions to be made. Innovation leaders find it difficult to keep up with the ever faster developing technology and the associated potential. Data science teams with the necessary detailed knowledge, however, often lose sight of the big picture. This leaves a lot of potential by the wayside. As a Datascientist with an interdisciplinary client environment, I support clients with innovative approaches to bring state-of-the-art developments in machine learning and deep learning in line with the overall goals of the organization. In doing so, I follow the approach of rapid prototyping to achieve quick successes, which are then expanded in a targeted manner. I invite you to check out some of my recent examples on GitHub or in my blog articles.
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‎12-06-2020 03:51 PM
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