The Trust Science blog brings you the latest innovations in AI, machine learning, and credit underwriting. Our mission is to get deserving people access to the credit they deserve, and we hope you join us on the journey by subscribing!
Know the differences between structured and unstructured data and how unstructured data is incorporated into machine learning credit underwriting...
Discover essential risk management lessons from the SVB collapse and explore strategies to safeguard financial stability in uncertain times.
Explore 2022's holiday inflation trends with food, gifts, and vacations costing 13% more. Uncover its impact on families and financial struggles...
Explore shifting consumer habits, rising challenges for lenders, and how alternative credit scoring solutions improve accuracy in today's financial...
Align underwriting and marketing with credit risk metrics to boost efficiency, compliance, and ROI. Discover smarter strategies for lead decisioning...
Adapt to economic volatility with smarter credit scoring. Discover how machine learning predicts risks and helps lenders thrive in uncertain times.
Secure FinTech data with top cybersecurity tips. Learn about compliance, risk mitigation, and protecting sensitive information from modern threats
Boost auto-lending success with AI-driven underwriting. Discover strategies to reveal credit invisibles and enhance decision-making for better...
Unlock financial inclusivity with AI-driven credit scoring. Explore how alternative data creates accurate, fair assessments for underserved borrowers.
Enhance financial decisions with machine learning. Explore how ML boosts credit scoring, reduces errors, and improves efficiency in lending processes.
Leverage AI and machine learning for fair credit scoring. Discover how these tools reduce bias, improve accuracy, and enhance lending decisions.
The wide range of unstructured data available from alternative data sources, machine learning and AI increases the effectiveness of risk assessment.
The picture FICO paints is one dimensional, with the score largely based on credit payment history and credit utilization - how can we rethink this...
Artificial intelligence can improve several areas, like credit scoring, investment/asset management, underwriting, market research, and customer...
Explainable Artificial Intelligence allows companies in the 21st century to help customers understand why they received the particular credit score
At face value, consumer credit scores, typically ranging from 300 to 850, are just that, three digits on a report that mean nothing to the untrained...
Conventional credit scores are used by financial institutions to inform their lending decisions, known as a quantitative way to assess...
AI has become table stakes for alternative credit scoring systems. With this potential however comes the risk of misaligned systems and failed...
Reach out to discuss how we can help account and model for these and all variables in today’s Auto Finance environment.
In this blog we cover how to overcome 4 common data mistakes keeping you from adopting AI and machine learning
Time is very important in unstructured data, as it provides us with time-stamps for loan data analysis and predictions.
