Big Data, Artificial Intelligence and Blockchain

Dominique Guegan ()
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Dominique Guegan: UP1 - Université Paris 1 Panthéon-Sorbonne, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, Labex ReFi - UP1 - Université Paris 1 Panthéon-Sorbonne, University of Ca’ Foscari [Venice, Italy]

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Abstract: 1 - Big Data and regulatory Learning: How to supervise deep learning models? This seminar aims to present (i) The notions of Big Data, (ii) The architecture indispensable for the use of Big Data, (iii) The concept of artificial intelligence and the models associated, (iv) The question of the existence of a regulatory framework, (v) The study of a use case developed inside the banking system concerning the credit scoring. 2 - Crypto-currencies and the Challenge for Financial Regulation: The example of Bitcoin after defining the notion of peer-to-peer lending, and distributed ledger, the Bitcoin concept is introduced. Regulation around the crypto-assets is analysed: remote and immediate risks as risks for the users. 3 - The digital world: Blockchain and ICO: in this talk we analyse the concept of blockchain and the different classes of blockchain with their properties. The regulatory framework is presented. The Initial Coin offerings is also discussed with their interest and limits

Date: 2019-03-04
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Published in Big Data, Artificial Intelligence and Blockchain, Université Saint-Louis du Sénégal, Mar 2019, Sénégal, Senegal

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-02137851

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