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Enhance your Lending with Predictive Analytics

BizAcuity

The consumer lending business is centered on the notion of managing the risk of borrower default. Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry.

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Must-Have AI Features for Your App

Sisense

In Augmented Apps , we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. . Certain proven methods and use cases are invaluable in helping product teams understand how to implement AI in apps to reproduce and enhance existing successes.

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COVID-19 Effects on Financial Services & Managing Risk

bridgei2i

Banks in US seem to be in better shape, with increased lending in March to the tune of $191bn to public companies; however, they still face operational troubles. Certain types of Consumer and Commercial lending especially in Aviation/tourism, may see higher defaults. Riskier and Renegotiated Lending. Focus Areas and Action.

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Unlocking financial benefits through data monetization

IBM Big Data Hub

This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand. Cost optimization can be achieved through a combination of productivity enhancements, infrastructure savings and reductions in operating expenses. from 2024 to 2032.

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Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM Big Data Hub

Let’s look at how IBM combines and analyzes this data to deliver statistics and analytics in natural language, and how we break open the “black box” of AI to deliver trustworthy, explainable insights that complement outside media sources. They provide at-a-glance data and help fans understand key factors affecting win predictions.

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Insurers – Be Aware of the Hidden Exposures in assessing the economic impact of Climate Risk

Cloudera

Evolving your analytics and risk models to accommodate climate change inputs and regulations beyond weather-related natural disasters is increasingly important. Data and Analytics Can Help . Analytics and the increased use of AI can improve underwriting and risk-management practices for customers, insurers, and reinsurers.