Temenos’ Barb Morgan Shares How AI Is Reshaping Banking - Ep. 246
Episode
30 min
Read time
2 min
Topics
Productivity, Leadership, Design & UX
AI-Generated Summary
Key Takeaways
- ✓AI adoption shift: Banks now view GenAI as enabling hyper-personalization and smarter customer interactions rather than just cost efficiency, moving beyond frustrating chatbots to human-centered approaches that pull customer data instantly for meaningful conversations.
- ✓Data readiness challenge: Many banks can only leverage analytics on 25% of their data landscape due to legacy systems from mergers and acquisitions. Banks need proper data management before implementing responsible AI with full explainability and compliance standards.
- ✓Co-design methodology: Temenos works with banks to co-develop AI solutions by presenting five to six use cases, selecting one or two collaboratively, and building together. This approach includes AI-powered tools for product managers to create financial products using predictive analytics.
- ✓Leadership determines success: Organizations where C-suite leaders discuss AI as augmented intelligence and use tools themselves see higher adoption rates. When leadership frames AI as amplifying human potential rather than replacement, employees embrace it as a collaborative plus-one tool.
What It Covers
Barb Morgan, Chief Product and Technology Officer at Temenos, explains how generative AI transforms banking from efficiency-focused automation to hyper-personalized customer experiences, data challenges banks face, and sustainability initiatives across global financial institutions.
Key Questions Answered
- •AI adoption shift: Banks now view GenAI as enabling hyper-personalization and smarter customer interactions rather than just cost efficiency, moving beyond frustrating chatbots to human-centered approaches that pull customer data instantly for meaningful conversations.
- •Data readiness challenge: Many banks can only leverage analytics on 25% of their data landscape due to legacy systems from mergers and acquisitions. Banks need proper data management before implementing responsible AI with full explainability and compliance standards.
- •Co-design methodology: Temenos works with banks to co-develop AI solutions by presenting five to six use cases, selecting one or two collaboratively, and building together. This approach includes AI-powered tools for product managers to create financial products using predictive analytics.
- •Leadership determines success: Organizations where C-suite leaders discuss AI as augmented intelligence and use tools themselves see higher adoption rates. When leadership frames AI as amplifying human potential rather than replacement, employees embrace it as a collaborative plus-one tool.
Notable Moment
Morgan reframes artificial intelligence as augmented intelligence to eliminate negative connotations. She demonstrates how AI enables bankers to instantly access complete customer histories and family relationships, allowing personalized service without making clients wait while bankers manually research files and accounts.
Episode Transcript
Hello, and welcome to the NVIDIA AI podcast. I'm your host, Noah Kravitz. Since its founding in 1993, Temenos has been on a mission to revolutionize banking. Its open platform enables people across the world to carry out their daily banking needs and for banking providers to build new services and state of the art consumer experiences using AI and other cutting edge technology. Starting a bit more recently, our guest has been leading Temenos efforts to drive digital transformation from financial institutions across the world. In October, 2024 to be specific, Barb Morgan joined Temenos as chief product and technology officer, bringing over twenty five years of leadership experience in global product development organizations with her to the role. Barb has done a lot in banking and financial services, to put it mildly, especially with AI and cloud tech. In fact, it'll be better to ask her to tell us about her background. So we'll start there in just a second, except that I will add that Barb holds a bachelor of science in computer science from the University of Central Oklahoma. That said, Barb is here to talk about generative AI and banking, Temenos' approach to AI, and the importance of sustainability in the industry for starters. So let's get to it. Bob Morgan, welcome, and thank you so much for joining the NVIDIA AI podcast. Thanks, Noah. Excited to be here. Excited to have you. Alright. So I teased it in the intro a little bit, but maybe we can start with you telling us a bit about your background, your journey into working with AI, and how you landed at Temenos. Absolutely. So I actually started with my hands on the keyboard. So I was a a developer many years ago. When you said twenty five years, I I had to smile a bit because it reminds me how long career has been. But now, you know, my my career did start with the hands on the keyboard, but I always really enjoyed that link between what we were doing with technology and how that was really impacting the customer. And so as my career, you know, continued to kinda go through my journey, you know, I really gravitated towards those areas that had a a strong customer centricity. And so I spent about the past fifteen years of my career, focused in the financial services industry. So I've led transformations in inside banks with FinTechs, you know, side by side with the banks, and really focused around modernizing core systems, building innovative products, and accelerating AI adoption, which you can't have a conversation anymore with without AI. Right. Right? But AI isn't new to banking. Right? We've we've been using it for years from fraud detection, risk modeling, automation. But what's really different now is is we're seeing that shift where, you know, GenAI has shifted the entire landscape where it's not about efficiency. It's really about making the bank smarter, more intuitive, and bringing …
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