Subventions hide bad pricing. A promo contract looks profitable only because the manufacturer pays the gap. The test: back-test promo loans without subventions to find underpriced tiers, the same ones pricing today’s standard book. Read the analysis ⤵️ #Lending #RiskManagement

Blended averages hide major auto lending risks. Prime 60+ DPD is 0.42% vs subprime at 6.90%, a 15x risk gap lost in portfolio averages. Is your software missing critical risk signals? Read how to spot flaws in your next vendor demo 👇 hubs.ly/Q04BdFsz0

Yokohama Rubber and dotData Begin Joint Development of an AI Agent for Manufacturing R&D Read the announcement 👇 hubs.ly/Q04zYj-F0 #Yokohama #dotData #AIAgent #AIforManufacturing

Shrinking auto loan volume with stable charge-offs? You might be overpricing. 83% of auto loans are indirect if your buy rate is too high, dealers just send the deal elsewhere. Pair look-to-book with tier losses to catch the leak. Full analysis 👇 hubs.ly/Q04zp4V40

In 2026, "AI in Lending" covers 3 completely different jobs: 1️⃣ Doc Automation (Intake speed) 2️⃣ Decisioning Automation (Queue speed) 3️⃣ Signal Discovery (Portfolio risk) Stop buying a doc scanner when you need a risk discovery tool. Learn more ⤵️

Tier-level pricing treats every borrower in a band the same and edge-of-tier mispricing is costing auto lenders. dotData uncovers the Driver Signals that explain why actual losses diverge from forecasts, without a model rebuild. Fix your rate sheet ⤵️

NCO rates reflect underwriting decisions made 18-36 months ago. With LTVs over 120% and repo recoveries near 30%, waiting for charge-off reports means acting too late. Learn how to flag high-risk accounts 6-12 months early 👇 hubs.ly/Q04ywYqp0 #CreditRisk #AutoLending

A 50% default rate in 0.4% of your auto portfolio won't move your aggregate average, but it will eat your margins. Risk doesn't spread evenly; it concentrates in blind spots. See how signal stacking exposes hidden risk in booked loans 👇 hubs.ly/Q04xWSb70 Read more ⤵️

Most auto lending risk leaders fail before the software demo even starts. Evaluating fraud filters, decisioning engines, BI, & Signal Intelligence under one label creates winners by accident. Fix your risk evaluation process 👇 hubs.ly/Q04xJBJB0

Your auto credit dashboard looks green, but underlying risk is rising. 📉 S&P just raised loss expectations on 36 of 48 auto ABS transactions. Surface averages hide deep vintage stress (2023–24). Speed won't fix pricing blind spots. Full analysis 👇