To understand and use advanced AI tools, it is essential to first grasp the nature, diversity, and complexity of the Data Inputs and challenges faced in manual processing or observation. This foundational understanding ensures that the AI techniques are adopted and applied in the right context, improving detection accuracy, operational efficiency, and overall effectiveness in AML and fraud prevention.

This module explains the role and practical application of key AI capabilities, including OCR, NLP, Fuzzy Logic and Phonetics, coupled with link analysis, behavioral and sentiment analysis for detecting anomalous actions and manipulative intent. Further it covers use of blockchain technology for secure, immutable storage and trusted data sharing.

Most importantly this module has a scenario-based learning approach , whereby through the use of three real-world scenarios, it demonstrates how each AI capability addresses a specific financial crime challenge and how these technologies work together rather than in isolation.

About the Trainer

Pallavi Ajmera

Founder

Pallavi Ajmera is globally certified in Financial Crime Compliance (FCC) and brings over 25 years of experience in the financial services industry. She has been instrumental in strengthening FCC capabilities in India, notably leading the ACFCS India affiliation for over seven years, playing a pivotal role in establishing and scaling the ACFCS India Chapter, and working closely with technology providers to gain deeper insights into their solutions and implementation.