Artificial Intelligence Financial

Blockchain, cryptoassets, and artificial intelligence protocols continue to change the roles of accounting and financial service professionals at a fundamental level. This book examines the impact and influence of these technologies in the financial sector. In particular, this second revised edition examines the impact of these technologies on megatrends such as ESG reporting, remote workforces, real-time reporting, and a shift to a virtual and digital world. It also provides insights on how automation of all kinds—highlighted by AI—are changing the ways in which financial transactions and other information are handled by accounting and finance professionals. Ranging from the implications of blockchains among various organizations, to the rise of cryptoassets for transactions and investing activities, the author provides grounded and action-oriented recommendations for financial practitioners.

This book introduces the novel artificial intelligence technique of polymodels and applies it to the prediction of stock returns. The idea of polymodels is to describe a system by its sensitivities to an environment, and to monitor it, imitating what a natural brain does spontaneously. In practice this involves running a collection of non-linear univariate models. This very powerful standalone technique has several advantages over traditional multivariate regressions. With its easy to interpret results, this method provides an ideal preliminary step towards the traditional neural network approach.

Succeed as a Financial Analyst &Investor by Award Winning MBA Prof who worked @Goldman, in Hedge Funds & Venture Capital

AI (artificial intelligence) improve workflow, efficiency, and accuracy by brining AI to your accounting systems.

AI (artificial intelligence) improve workflow, efficiency, and accuracy by brining AI to your accounting systems.

Succeed as a Financial Analyst &Investor by Award Winning MBA Prof who worked @Goldman, in Hedge Funds & Venture Capital