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Transforming Collections with Machine Learning & AI

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About this event

What to expect

Collections management is evolving beyond reactive debt recovery into a strategic, data-driven function powered by machine learning and artificial intelligence. This online session from Jigyasa Analytics explores how ML and AI are transforming collections from a post-delinquency response mechanism into a proactive, predictive capability that helps organisations reduce defaults before they occur.

What You'll Learn

This 60-minute online session focuses on practical ML and AI approaches for proactive collections strategies. Rather than waiting for delinquency to happen, you'll discover how advanced analytics and machine learning models can identify at-risk accounts early, predict payment behaviour, and enable personalised intervention strategies that improve recovery rates while maintaining positive customer relationships.

The session covers how machine learning algorithms can analyse payment patterns, financial indicators, and behavioural signals to forecast which accounts are likely to become delinquent. You'll explore AI-driven segmentation techniques that enable tailored collection strategies based on customer profiles, risk levels, and engagement preferences. The presentation demonstrates how automation and intelligent decision-making can optimise collection workflows, reduce operational costs, and improve overall portfolio performance.

Who Should Attend

This event is designed for credit risk professionals, collections managers, data analysts working in financial services, and anyone involved in receivables management or credit portfolio optimisation. Whether you're looking to modernise legacy collections processes, implement predictive analytics in your risk management framework, or understand how AI can enhance recovery strategies, this session provides practical insights into next-generation collections approaches.

The online format makes this session accessible to professionals worldwide, requiring only an internet connection to participate. As part of Jigyasa Analytics' Credit Risk Analytics collection, this event connects with a broader series exploring data-driven approaches to credit risk management, offering valuable networking opportunities with peers facing similar transformation challenges in the collections and credit risk space.

Register for this event to discover how machine learning and AI can revolutio

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