Research, deep dives, and thought leadership on AI, lending, investment operations, and Indian fintech.
Traditional credit bureaus capture only a fraction of a borrower's financial behaviour. Novel Patterns explores how machine learning models trained on alternative data are unlocking credit access for millions of underserved customers while dramatically reducing default risk for lenders.
Read Full Article →The RBI's updated digital lending guidelines signal a new era of accountability. Here's how financial institutions can turn compliance into competitive advantage.
Read article →Banks that fail to modernise their integration layer risk falling behind nimble fintechs. We break down what a genuinely API-first architecture looks like in practice.
Read article →Proactive NPA management requires more than periodic bureau pulls. Discover how real-time behavioural signals can flag stress accounts weeks before default.
Read article →Black-box models are a regulatory liability. We explore XAI frameworks that deliver accurate decisions and clear audit trails — without sacrificing predictive power.
Read article →As fintechs embed financial products into every app, traditional banks risk becoming invisible. Here's the strategic playbook to stay relevant in an embedded world.
Read article →The Digital Personal Data Protection Act brings sweeping changes to how financial data is collected, stored, and shared. A compliance roadmap for 2025 and beyond.
Read article →India's small businesses remain chronically underfinanced. AI-powered decisioning models using GST, UPI, and supply chain data are changing the equation.
Read article →The shift from nightly batch runs to real-time event streaming is no longer optional — it's the foundation of modern fraud prevention and personalisation.
Read article →Static rule sets are consistently outmanoeuvred by sophisticated fraud patterns. How Novel Patterns' adaptive ML models stay ahead of emerging threats in real time.
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