The Growth Opportunity Where Artificial Intelligence and Embedded Finance Meet
A $350 billion opportunity awaits banks and merchants that can figure out how to let AI power seamless embedded finance.
A $350 billion opportunity awaits banks and merchants that can figure out how to let AI power seamless embedded finance.
AI can drive better decision making in lending by helping banks and credit unions find the sweet spots among credit risks.
'85% right' might work for ChatGPT rough drafts, but giving someone just 85% of their bank balance wouldn’t fly. Execs talk margins of error and other AI issues.
Many banking technologies leverage artificial intelligence and machine learning, but not knowing what's inside the black box can be risky.
Personalization of banking services isn't a one-time event. It's a continuous process that only AI can deliver consistently.
A modern AI-supported loan platform can help community banks be competitive and grow, but requires care in deciding which features to use.
Pairing network video systems with AI creates opportunities for banks and credit unions to improve security and customer safety in branches.
These data-driven AI technologies can help banks and credit unions pursue real digital transformation and generate more revenue.
COVID underscored financial institutions' need to serve quickly and conveniently. Often chatbots provide the self-service consumers prefer.
Artificial intelligence is revolutionary, but it also comes equipped with many flaws. Emerj's Dan Faggella talks the potential roadblocks of AI and what banks should beware of.
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?
Needing to improve staff efficiency, Great River deployed new technology to centralize staff. The results? An 80% decrease in lobby wait times and 4-to-1 FTE.
Read More about This Credit Union Staffed Nine Branches With Just Three Employees.
Data-powered tools can greatly enhance CX through personalization, but mainly are being used to reduce cost and control risk.
Futurist Mike Walsh discusses how banking leaders must use data, analytics and tech to change their culture, strategy and business models.
Half-baked thinking wastes financial institutions' money and time and won't produce the benefits that machine learning can produce.
In the future, artificial intelligence powering people's personal finances could become as commonplace as self-driving autonomous cars.
AI should be a top priority for financial institutions that wish to improve marketing effectiveness and customer experience.
To improve targeting, messaging and ROI, banking providers must find ways to exploit big data and advanced analytics.
With machine learning and artificial intelligence, traditional financial institutions can slash costs, improve the banking experience and stay competitive.
Banks and credit unions will need new capabilities — from machine learning to natural language processing — to succeed with artificial intelligence.
Financial services firms need to leverage the power of AI to deliver better experiences, lower costs, reduce risks and increase revenues.
The success of any AI initiative hinges on the data collected — from channel usage and geolocational data, to consumer beliefs and behaviors.
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Read More about Don’t Fight Today’s Battles with Yesterday’s Weapons.