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Regulatory compliance is no longer a human-only task. It’s becoming algorithmic.
The Algorithmic Regulator: AI and Machine Learning in Modern Compliance is a definitive guide to how artificial intelligence is transforming KYC, AML, and transaction monitoring—reshaping regulatory oversight at a scale and speed no traditional system can match.

As financial crime grows more sophisticated and regulatory expectations intensify, manual reviews and static rule-based systems are failing under the weight of complexity. This book reveals how modern compliance organizations are leveraging machine learning, AI-driven anomaly detection, network analysis, and real-time monitoring to detect risk earlier, reduce false positives, and operate with unprecedented precision.

Written for compliance officers, risk managers, fintech professionals, regulators, and technology leaders, this book provides both conceptual clarity and operational insight into how AI-powered compliance systems actually work—and how to deploy them responsibly.

Inside, you’ll learn how AI is used to:

• Automate and enhance KYC, EDD, and continuous customer monitoring

• Detect suspicious behavior through anomaly detection and behavioral analytics

• Uncover hidden financial crime networks using graph and relationship analysis

• Monitor transactions in real time, across channels and jurisdictions

• Dramatically reduce false positives while increasing detection accuracy

• Generate stronger, more consistent Suspicious Activity Reports (SARs)

• Apply NLP to regulatory texts, news, and communications

• Build explainable, auditable AI systems regulators can trust

• Address bias, ethics, privacy, and data protection in AI-driven oversight

• Integrate AI seamlessly into existing compliance frameworks and legacy systems

The Algorithmic Regulator demystifies AI and machine learning for compliance—cutting through hype to explain what works, why it works, and where human judgment remains essential. It shows how the compliance function is evolving from reactive enforcement to predictive, adaptive, intelligence-driven oversight.

If you want to understand the future of regulatory compliance—and be prepared to lead it—this book is your roadmap.

Compliance isn’t disappearing.
It’s becoming smarter, faster, and algorithmic.

Procurando The Algorithmic Regulator: AI and Machine Learning in Modern Compliance? Aqui você encontra tudo sobre este livro de Mario Florez. Nesta página estão a descrição da obra, os detalhes da edição (291 páginas) e os formatos disponíveis para baixar: pdf, mp3, áudio-livro, kindle. Se você gosta de Livros Internacionais, Administração, Negócios e Economia, Indústrias e Profissões, Contabilidade, Auditoria, explore também outros títulos da mesma categoria no LivrosQualidade. Veja ainda as outras obras de Mario Florez em nosso catálogo.