How GenAI can be used to supercharge financial services from the inside out.
There's a lot of talk about how Generative AI can be used to improve customer experience, but what are the implications for internal software and back office processes?
In this episode of The Fintech Show, Trisha Price from Pendo, Marnix van Stiphout from ING, and Søren Andreasen from Nordea discuss the transformative impact AI is having in this area.
Tune in to this informative episode to find out how:
Leveraging AI for Digital Transformation
AI adoption in all industries is growing and this is certainly true of financial services. According to the FCA, in the UK, 75% of firms are already using artificial intelligence (AI), with a further 10% planning to use AI over the next three years. Many organisations are now thinking about how it can be used to boost internal processes and the day to day lives of employees. But just implementing these tools doesn't necessarily guarantee success. Trisha Price, who is Chief Product Officer at Pendo, points out that the success of this depends on how well financial institutions use data.
She highlights three types of data that are crucial: quantitative (how employees use applications), qualitative (how they feel about them), and visual (tracking user behavior like repetitive clicks, which indicate frustration). By analyzing these data points, financial institutions can refine employee and customer experiences, ensuring that the software investments they make, actually do yield productivity gains and business value.
AI’s Role in Banking OperationsSo how can AI be used in banking? We’ve looked at this before and got more great thoughts in this episode.
Marnix Van Stiphout, Chief Operations Officer at ING, acknowledges that while machine learning has been integral to banking for years—powering services like instant lending—generative AI (GenAI) presents new opportunities. One area he sees particular promise in is streamlining Know Your Customer (KYC) and Customer Due Diligence (CDD) processes, which traditionally require significant manual effort. AI-driven automation can gather and analyze vast amounts of data, enabling faster decision-making and reducing operational costs.
Søren Rode Jain Andreasen, Head of Digital Customer Engagement Hub at Nordic bank Nordea, echoes this sentiment, noting that many banks, including their own, are already using AI internally to enhance efficiency. AI-driven automation shortens process cycle times and improves customer experience while maintaining data security. It’s also being used internally for everything from risk assessments to capital requirement models, and GenAI is quickly becoming another essential tool.
AI Powered Decision MakingOf course, we’re also interested to learn how AI is shifting the role of bankers by acting as a decision-support tool. Price talks about how AI-driven assistants can analyze customer data to suggest personalized product recommendations and pricing strategies. Beyond insights,
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