Industry Use Cases
August 12, 2020
With AutoML trending in data science, our CEO spoke at #Ai4Finance on data preparation, aggregating tables, feature engineering, the #AutoML process, and AutoML’s missing gaps. We’ll post the Conclusion / Part 2 next Thursday. Video: Part 1 – AutoML and Beyond.
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Key Takeaways Adoption is ahead of delivery: Nearly two-thirds of financial institutions have not yet…
Key Takeaways EPD Vulnerability: Conventional credit decisioning software looks at applicant data in isolated silos…
The Macro Reality: Total U.S. auto loan debt has reached a historic $1.685 trillion, prompting…
Key Takeaways The Velocity Problem: Traditional 30-60 DPD (Days Past Due) reports are lagging indicators…
Key Takeaways The Equity Problem: Depreciation models overlook that 29.3% of current vehicle trade-ins have…
Lenders often focus on the strength of the loan origination scorecard when evaluating lending analytics.…