Titlebook: Innovative Technology at the Interface of Finance and Operations; Volume I Volodymyr Babich,John R. Birge,Gilles Hilary Book 2022 Editors 2

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Interface of Operations and Finance: A Tutorial,f important ideas from one discipline with examples of applications to the other discipline. Our goal is to lower the entry cost for new researchers interested in problems at the interface of the two disciplines.

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The Past, Present, and Future of the Payment System as Trusted Broker and the Implications for Banke centuries, incumbent banks developed a reputation to act as trusted brokers. This is their main advantage today, yet we consider several scenarios for the future of payments, all of which entail a new basis of competition and a new locus of trust. While trust will be just as important in the futur

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OPINE

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Applied Machine Learning in Operations Management,lability of data and methodological advancement in machine learning, a large body of recent literature in this field takes advantage of machine learning techniques for analyzing how firms should operate. In this chapter, we review applications of different machine learning methods, including supervi

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Artificial Intelligence and Fraud Detection,y. With the rise in big data and artificial intelligence, new opportunities have arisen in using advanced machine learning models to detect fraud. This chapter provides a comprehensive overview of the challenges in detecting fraud using machine learning. We use a framework (data, method, and evaluat

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,Using Machine Learning to Demystify Startups’ Funding, Post-Money Valuation, and Success,of success. Using startup funding data and descriptions from Crunchbase over a 10-year period, we develop two models linking information such as description, region, and venture capital funding to successful outcomes such as the achievement of an acquisition or IPO. The first model utilizes latent D

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Springer Series in Supply Chain Managementhttp://image.papertrans.cn/i/image/467526.jpg