‘Innovation Theater’ in Banking Gives Way to a More Realistic and Productive Function
GenAI is changing the ground rules of banking innovation, accelerating shifts that had already begun.
GenAI is changing the ground rules of banking innovation, accelerating shifts that had already begun.
As younger generations rise through the ranks at community banks, they'll bring with them a wave of new technology — and new jobs.
Generative AI is a powerful, efficient and persuasive tool banks can use for marketing at scale. That said, taking a strategic, human-centered approach is critical.
In his annual management letter, Jamie Dimon, JPMorgan Chase chairman and chief executive, analyzes the impact of three key technologies.
Blending five BofA and Merrill apps into one with common functionalities was a step-by-step project that took years.
Microsoft's director of AI in world financial services shares his expertise on the transformative potential of generative AI in banking, from optimizing processes to enhancing customer experiences.
Putting Capital One auto loan power into a mobile app is just one of the ways Sanjiv Yajnik and his teams have shaken up banking.
While artificial intelligence offers excellent potential to help banks manage risk and compliance, McKinsey warns that it carries its own set of pitfalls.
Banks are moving beyond pilots and proof of concept efforts into all-in use of GenAI, says Zac Maufe, Google Cloud's banking specialist.
GenAI is growing rapidly in adoption among banks. Laggards and holdouts can still catch up.
As they face growing headwinds in 2024, banks and credit unions must double down on optimization and efficiency.
As banks charge ahead with GenAI, regulatory risk looms, thanks to slow agency rulemaking.
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Bank marketing teams will likely need to think outside the box to incorporate the necessary skills to succeed — and innovate — in this brave new world.
Most consumers love their primary banks. That doesn't mean they won't take their business elsewhere.
Fraud is on the rise — and new tools and strategies are likely to amplify it in 2024.
Generative AI brings increased possibilities and increased risks to both business and consumer payments. Learn how.
The ability to use AI to leverage data in real-time is a top priority for banks looking to offer personalized user experiences.
A comeback in fintech funding in 2024 may be matched by a culling of the weak.
Embedded banking and embedded fintech show more promise than the industries' current strategies, says veteran Rakefet Russak-Aminoach.
Banks must transition from a one-size-fits-all model of products and delivery to participatory engagement, where personal preference is king.
For many aspects of banking, implementing GenAI won't be a matter of turning the keys over to robots, but sharing the load.
Explore practical applications of generative AI in retail banking for the level hyper-personalized engagement expected by consumers.
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