Category: blogs
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The Hidden Risk of AI Bias: Need for Systemic Backtesting and Validation
The greatest risk of AI adoption may not be biased AI. It may be organizations operationalizing bias at scale without realizing it. When we talk about AI bias, the usual question is: Is the AI model biased? Perhaps we should ask a slightly different question: What are we training AI to operationalize? AI learns from…
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Building Fraud Models for Small Business Lending: Methodologies and Best Practices
Small business lending has undergone a dramatic digital transformation with digital platforms, embedded finance ecosystems, and automated credit underwriting. However, the rapid digital transformation has also increased exposure to sophisticated fraud schemes. The rise of generative AI has lately amplified these risks even further. AI-generated documents, synthetic identities, and deepfake-enabled verification bypasses are increasing rapidly…
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Data Hygiene: The Foundation for Reliable ML/AI and Business Analytics
Organizations are allocating substantial resources towards AI/ML, advanced analytics, and automation to fuel growth and strengthen their competitive advantage. However, despite significant investments, many of these initiatives stall or underdeliver. Why? A fundamental yet often overlooked reason is the absence of robust data hygiene practices. Just storing data isn’t enough, it needs to be clean,…