Titlebook: An Introduction to Data; Everything You Need Francesco Corea Book 2019 Springer Nature Switzerland AG 2019 Artificial Intelligence.Machine

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https://doi.org/10.1007/978-3-86226-378-3to help firms to understand what to look for and how to use resources in the best way, a personality test has been implemented and different types of data scientists have been classified using this test.

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https://doi.org/10.1007/978-3-658-00713-3 common ethics problems and data biases and propose some food for thoughts rather than solutions. It will also talk about the control problem, the accounting and explainability issues, and the development of a safe AI.

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Advancements in the Field,actors of the new AI revolution, meaning algorithms and data, knowledge of the brain structure, and greater computational power. The goal of the chapter is to give an overview of the state of art of these three blocks in order to understand what AI is going toward.

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AI Business Models,ts unique features that are sometimes not intuitive to deal with. These features may be noticed in the business structure (“the DeepMind strategy”) as well as in the product nature itself (“the 37–78 paradigm”). In this chapter, we also present a very useful tool to classify AI companies, i.e., the

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AI and Financial Services, ways, ranging from financial wellness to financial security, capital markets, and even money transfer. But above all AI is forcing the financial services players to innovate and to look for alternative solutions to old problems.

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