Size Doesn’t Always Define Digital Maturity in Banking
New analysis shows digital prowess stems not from asset size alone. There must be a culture that accepts change and client-obsessed mindsets.
New analysis shows digital prowess stems not from asset size alone. There must be a culture that accepts change and client-obsessed mindsets.
IBM research explores the immense yet balanced potential of generative AI across innovating customer value, optimizing operations, and managing risks.
As economic uncertainty causes customers to reevaluate relationships, experience excellence becomes the battleground that will determine bank loyalty in the future.
Success in 2024 and beyond hinges on reallocating technology investments and priorities from defensive stability to strategic growth.
Banks must transition from a one-size-fits-all model of products and delivery to participatory engagement, where personal preference is king.
Explore practical applications of generative AI in retail banking for the level hyper-personalized engagement expected by consumers.
Trends emerge for banks to reinvent customer lifetime value, personalization, digital platform thinking and reimagined experiences.
Updated: What does OpenAI's disruptive week mean for responsible and beneficial AI adoption in the financial services industry?
2024 will be a pivotal year for a banking industry faced with an uncertain economy – but also with significant opportunities for growth.
A survey of marketers at banks, credit unions and fintechs illustrates the need to pivot in response to marketplace dynamics and highlights the challenges that must be overcome to succeed.
As fintechs reshape banking, their focus on profits over scale does not diminish the competitive threat — or collaborative opportunity.
Banks must leverage data, predictive analytics and modern technology to enable personalized, real-time engagement across the customer journey.
This webinar with Jim Marous and David Feuer, CPO of Galileo Financial Technologies will show real-world examples of how banks took a phased approach to start their digital journey.
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A reset of existing business models in banking is underway, thanks to technology like artificial intelligence, hybrid cloud, embedded finance and banking as a service.
For Gen Z consumers, banks must learn strategies to connect through hyper-personalization, social media marketing, financial empowerment and purpose.
As banking becomes embedded in digital ecosystems, financial institutions must evolve from monetary exchange to enabling value transfer models.
What does it take to be successful with an embedded finance strategy? And what do nonbank platform partners value most? IBM research offers some insight.
Technology thought leader Brian Roemmele wants generative AI models to transform banking in positive ways and suggests ways to avoid pitfalls.
Chasing perfection often delays deployment and denies customers cutting-edge experiences. Bankers should embrace progress as their goal.
As artificial intelligence advances and reshapes banking, AI maturity becomes crucial for financial institutions to remain competitive.
Banks that lead with bold customer value strategies can reinvigorate relevance and relationships, improving trust, engagement and loyalty.
Which priorities are gaining traction? And which are losing steam? One key to success in digital banking transformation is flexibility.
To avoid disintermediation, financial institutions must build embedded finance solutions that will grow deposits and loans.
This credit union redefined branch management. Manage one remote team and serve multiple locations. It's not just a solution, it's a revolution.
Read More about They Only Need 3 Employees to Operate 9 Branches?