EPISODE · Sep 8, 2026 · 10 MIN
How Data Teams Build Explainable AI Systems
from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations · host Fexingo
We explore why black box models are failing enterprise trust and how data teams are shifting toward inherently interpretable architectures. Using a specific case from a major fintech lender, we look at the trade-off between raw predictive power and regulatory compliance. The episode breaks down three practical techniques for building models that explain themselves without sacrificing accuracy. #ExplainableAI #XAI #ModelInterpretability #DataScience #MachineLearning #FexingoBusiness #BusinessPodcast #TechTrends2026 #RegulatoryCompliance #FinTech #AlgorithmicBias #TrustInAI #DataEthics #LucasAndLuna #AIGovernance #ModelTransparency #EnterpriseAI #DataDriven Keep every episode free: buymeacoffee.com/fexingo
Embed this episode
Ready to play
How Data Teams Build Explainable AI Systems
No transcript for this episode yet
Similar Episodes
Feb 4, 2026 ·18m
Similar Podcasts
No similar podcasts found.