dotData

dotData Feature Factory technology provides data-centric & programmatic feature discovery for data scientists & data engineers.

[dotData @dotDataUS]

Read the full blog here: https://t.co/gB3D3pKZB7

[dotData @dotDataUS]

On day one, the risk model and the book agree completely. After that? Drift.

A tiny 0.44% slice of an auto portfolio defaulted at 50% vs a 20% baseline while top-level metrics reported calm.

Spot velocity shifts before repricing turns into charge-offs ⤵️
https://t.co/FTkOsBXN2I

[dotData @dotDataUS]

Read the full post below: https://t.co/Vkw9F3PktV

[dotData @dotDataUS]

Faster loan decisions won't save a broken credit model, they just scale mispriced risk at 10x the speed. 🚗📉

Why "instant AI approvals" are quietly eroding auto portfolio P&Ls, and what to verify before your next tech RFP:

Full breakdown 👇
https://t.co/kvp68qlykd

[dotData @dotDataUS]

Read the full post: https://t.co/MWAcj9APYT

[dotData @dotDataUS]

Your charge-off report isn't a forecast, it's a 24-month-old postmortem.

Standard scorecards hide toxic sub-segments inside stable portfolio averages until collateral cushions are already gone.

Here's how to spot the driver signals 6–12 months earlier:
https://t.co/mMySt8sln8

[dotData @dotDataUS]

Read the full post: https://t.co/X6sVcalkn2

[dotData @dotDataUS]

Congress overturned the CFPB’s dealer markup guidance, but ECOA never left.
If your pricing committee only monitors rate sheets, you're missing the spread between buy and contract rates.

That markup is a price your sheet never set 👇

https://t.co/QjmrUDQLWK

[dotData @dotDataUS]

Read the full post: https://t.co/Kclkw63V0N

[dotData @dotDataUS]

Auto delinquency hit 3.00% in Q2 2026. Cutting broad near-prime rates to defend volume without loss visibility compounds risk, your churners & charge-offs aren't the same borrowers.

See how granular segment data replaces guesswork ⤵️

[dotData @dotDataUS]

Read the full blog post here: https://t.co/us4WlsN6bk

[dotData @dotDataUS]

Headline bank NIM hit 3.32% in Q2 (+6 bps YoY), but don't let that fool you, auto spreads moved the opposite way.
A strong total NIM easily masks narrowing auto loan margins.
Here’s how to separate the two before portfolio yields take a hit ⤵️

#AutoLending #dotData

[dotData @dotDataUS]

1. The LLM Compliance Paradox & Separating Conversational AI from Quantitative Underwriting
By Joshua Gordon, Ph.D.
https://t.co/kxm7YutqvT

[dotData @dotDataUS]

We’re excited to share that dotData was recently featured in AutoFin Journal, offering strategic guidance on how auto lenders can safely deploy AI without exposing their portfolios to hidden credit risks or regulatory penalties.

Check out featured articles in the thread below 👇

[dotData @dotDataUS]

Read the full blog post here: https://t.co/jkARl1kFta

[dotData @dotDataUS]

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

[dotData @dotDataUS]

Read the full blog post here: https://t.co/8Xf6SLfGE4

[dotData @dotDataUS]

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 👇

https://t.co/QexCBah8mP

[dotData @dotDataUS]

Read the full press release: https://t.co/qRShTZ6MEp

[dotData @dotDataUS]

Yokohama Rubber and dotData Begin Joint Development of an AI Agent for Manufacturing R&D

Read the announcement 👇
https://t.co/74qI3Tm2i5

#Yokohama #dotData #AIAgent #AIforManufacturing