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In the rapidly evolving world of finance, artificial intelligence (AI) has emerged as a transformative force, reshaping everything from risk management to customer service. "AI in Finance: A Comprehensive Guide for Beginners to Experts" provides an in-depth exploration of this revolution, offering readers a clear understanding of AI's role in the financial sector.

The book explores various applications of AI in finance, including fraud detection and prevention, algorithmic trading, intelligent credit scoring, customer service, and digital identity. It also presents real-world case studies, offering insights into how leading financial institutions are leveraging AI to drive innovation and efficiency.

The guide also looks ahead, discussing future trends and challenges in AI in finance. It covers topics such as the increased adoption of cloud-based solutions, advancements in fraud detection and prevention, and the use of predictive analytics. It also explores the impact of AI on financial jobs and roles, providing guidance for those looking to build a career in this exciting field.

The book provides practical guidance on how to get started with AI in finance, discussing the skills and expertise needed, how to build the right team, and how to partner with fintech startups. It also explores ways of making money with AI in finance, offering innovative ideas for both beginners and experts.

Finally, the guide addresses the challenges and ethical considerations associated with AI in finance, discussing issues such as data security and privacy, regulatory compliance, and bias and fairness.

"AI in Finance: A Comprehensive Guide for Beginners to Experts" is a must-read for anyone interested in the intersection of AI and finance. Whether you're a finance professional, a tech enthusiast, or a curious beginner, this guide offers valuable insights into the transformative power of AI in finance.

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Generi Economia Diritto e Lavoro » Management » Competizione economica » Studi generali

Editore Canna Expert Uk Ltd

Formato Ebook con Adobe DRM

Pubblicato 15/07/2023

Lingua Inglese

EAN-13 1230006637477

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