Artificial Intelligence in Banking

Articles about how banks can use artificial intelligence, applications for AI in banking, advanced data analytics, automation and machine learning.

QuickBooks Cash Account, with Green Dot as partner, will build on the software company's existing base of five million small businesses.

Better digital CX at financial institutions demands continual improvement. Human thought can't keep up, but artificial intelligence can.

Consumers expect more benefits than they're getting from the technology. Key for financial institutions is to humanize the AI experience.

Advanced technologies deployed by financial institutions post-COVID — like AI and the Internet of Things — will determine tomorrow's winners.

BofA's Erica leads the pack, but chatbot and voice banking are not just for megabanks. Community institutions are getting in.

Personalized marketing is no longer optional, but the only way banks and credit unions can pull it off is with an automation platform.

Increased acceptance of data sharing by consumers (thanks to Netflix) enables banks and credit unions to ramp up artificial intelligence use.

The pandemic has placed tremendous pressure on call centers, forcing banking providers to pursue more 'natural language' chatbots.

'Self-driving' banking will increasingly become the norm for consumers and businesses as AI-powered apps handle financial decision making.

AI should tailor what institutions offer to the needs of everyone they serve, instead of forcing them into traditional molds more quickly.

Fintech and neobank competition will end this nuisance charge sooner rather than later. Why not find a way to improve customer experience?

Data-powered tools can greatly enhance CX through personalization, but mainly are being used to reduce cost and control risk.

The bank is using artificial intelligence to improve CX and has implemented voice authentication. An 'ecosystem' approach helps it keep pace.

Going into 2020, financial institutions will need to deliver simplicity, intuitive design and personalization that is not delivered today.

Steve Wozniak shares insights on privacy, education and entrepreneurship for the Banking Transformed podcast.

Futurist Mike Walsh discusses how banking leaders must use data, analytics and tech to change their culture, strategy and business models.

Machine learning enables banks and credit unions to shift from life-stage segmentation to messaging that targets small clusters of consumers.

The world's most innovative banks leveraged digital technologies and advanced analytics to generate improved CX and stronger brands.

Half-baked thinking wastes financial institutions' money and time and won't produce the benefits that machine learning can produce.

Fast-moving changes impact consumer expectations, competition, business models, the need for digital-ready talent and profitability.

The future of mobile banking competitiveness will not be based on quantity of capabilities, but on the quality of mobile advice.

Financial institutions must decide how to prioritize investments to respond to fast technological and competitive changes in the industry.