Chad Whittenberg
Mar 7, 2022

Accessing data provided directly by employers can increase the level of certainty throughout the decisioning process and reduce risk of future defaults.

For much of the past decade, banking and payments have confronted the challenge of social media and its ensuing revolution.

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Since the World Economic Forum sounded the alarm last August about the threat posed by major technology companies in financial services, Google, Apple, Facebook, and Amazon—known by the collective acronym GAFA—have become a growing concern among bankers.

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Artificial intelligence is on the path to changing the world.

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The banking industry is rapidly investing in artificial intelligence, and will spend more than any vertical on cognitive systems and AI.

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“The blockchain’s the rails, bitcoin’s just one of the train cars,” says the sign in a fintech lab I visited recently.

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Back in 2009, people thought it was creepy—or as one banking leader puts it, “They were not cool with it.

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Few customers enjoy speaking with a bank’s interactive voice response system—and when you think about it, why should they? For starters, the systems have limited communication abilities and it can take multiple rounds of queries and responses for customers to get the information they need.

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The connections between Egyptian high priests, medieval bloodletters and 21st Century data scientists might seem extremely remote at best.

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The onetime FinTech-versus-bank battle shows major signs of easing from competition to cooperation.

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Cybersecurity at banks, to quote BAI managing director Karl Dahlgren, is a constant game of Whac-A-Mole as institutions struggle to stay a step ahead of resourceful, relentless malefactors.

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“First impressions count” not only applies to retail banking but also in the growing popularity of digital experiences elsewhere.

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So much was made of artificial intelligence in 2017—yet so much puzzlement generated—that you could compare the resulting scenario to asking Siri for an analysis and getting one of two responses: “Here are some AI articles I found on the internet” or “I don’t quite understand what you said, Debbie.

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In theory, moving a traditional bank from present and into the future sounds pretty straightforward: You redefine goals, embrace emerging demographics, emphasize tech and freshen up the brand, among other tasks.

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The term “robo advising” emerged in the banking and wealth management communities about a decade ago.

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In late June 2017, the EY network released its second FinTech Adoption Index to highlight FinTech’s rapid emergence.

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With the advent of open API banking, the banking world stands on the cusp of dramatic changes in both its value chain and partner ecosystem.

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The stereotype is that FinTechs play big.

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Smaller than the so-called “Big 4” banks but vastly larger than community banks and credit unions, super-regional banks stand before  a land of opportunity, says Pat O’Donnell, senior vice president of KeyBank.

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Over the last decade, we’ve seen tremendous changes in how the advisory industry provides and delivers services.

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