Cracking the Code: Simplifying AI Adoption in Credit Unions

episode

One Vision Podcast — Fintech, Banking, and AI with Theodora Lau not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

More from One Vision Podcast — Fintech, Banking, and AI with Theodora Lau

Delight is a deposit strategy 37 min · 17 Aug 2026

Building Faster with AI: Trust, Speed, and Ecosystem Thinking 24 min · 03 Aug 2026

The Human Edge: AI, Trust, and the Future of Connection 33 min · 26 Jul 2026

The Map and the Landscape: Paolo Sironi on Quantum Sapiens, AI, and the Meaning Machines Can't Carry 36 min · 22 Jul 2026

The Coach Inside Your Banking App — Alisha Chowdhury on Closing the Advice Gap with AI 25 min · 06 Jul 2026

Competing for Recommendations: The AI Midyear Pulse Check 32 min · 29 Jun 2026

All episodes from One Vision Podcast — Fintech, Banking, and AI with Theodora Lau →

Report any issue

Source

Recorded30 Sep 2024

Publisherfeeds.acast.com ↗

Handlerec:8359771

Show notes

Credit unions and smaller financial institutions rely heavily on 3rd party providers for AI solutions. But lack of clarity on regulations is one of the factors hindering the adoption of AI in the industry. In this episode of One Vision — FinTech Fuse! Theo chat with Elizabeth Osborne, COO of Great Lakes Credit Union, on the strategies and challenges for adopting AI in the financial services industry. Pro tip from Elizabeth: Start with a focused used case and keep it simple; avoid unnecessary and overcomplicated layers of requirements and dependencies. And don’t forget to listen to your members’ feedback! Hosted on Acast. See acast.com/privacy for more information.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in