📢 Most AI failures don’t come from the model—they come from the data feeding it.
In this episode of the Data Faces Podcast, Tina Chace, VP of Product Management at Solidatus, explains why incomplete lineage, missing context, and silent upstream changes quietly undermine AI systems long before anyone notices.

Tina shares lessons from deploying AI and machine learning in major banks, breaking down how column-level lineage and business context prevent cascading failures across systems, teams, and decisions.

🔍 Key Takeaways:
1- Why 90% of AI production issues trace back to data quality problems.
2- How technical and business lineage work together to build trust.
3- Why column-level tracking exposes the hidden transformations behind every metric.
4- How visibility without control increases anxiety across data teams.
5- Where organizations should start to get quick wins without “boiling the ocean.”

⏳ Timestamps for Easy Navigation:
00:00 – Intro: David Sweenor introduces Tina Chace
00:54 – Tina’s early career and the origins of her data skepticism
02:28 – The 90% data problem in AI and ML deployments
03:24 – What data lineage actually captures
06:47 – The rounding-error problem that compounds at scale
07:59 – Bridging the language gap across data, reporting, and business teams
09:46 – Who really owns data quality and lineage?
12:43 – Technical vs. business lineage, with real examples
16:24 – Managing complexity across systems, teams, and tech stacks
18:16 – Why documenting “everything” never works
23:28 – Data lineage in generative AI and RAG systems
30:57 – Why AI makes complete lineage non-negotiable
33:26 – The trust paradox: more visibility, more skepticism
34:27 – How to get started without boiling the ocean
35:35 – Closing remarks

📩 More insights & resources:
👉 Blog: https://tinytechguides.com/blog/data-lineage-for-ai-why-truth-beats-hope-in-banking/

🎧 Listen to the Data Faces Podcast:
YouTube: https://www.youtube.com/playlist?list=PLzrDACjTQ4OBoQ8qM1FMGBwYdxvw9BurR
Spotify: https://open.spotify.com/show/6SmGkQGvZQSAT1O7g1l2yF
Apple Podcasts: https://podcasts.apple.com/us/podcast/data-faces-podcast/id1789416487

🔗 Connect with Tina Chace:
LinkedIn: https://www.linkedin.com/in/tina-chace-rho-5433133b/
Solidatus: https://www.solidatus.com

💬 What’s the biggest data trust challenge in your organization? Tell us in the comments.
👍 Like, share, and subscribe for more conversations with leaders shaping AI, analytics, and data strategy.

#DataLineage #DataQuality #AITrust

Data Lineage for AI: Why Truth Beats Hope | Tina Chace