Power

Wall Street spent years watching the cloud drift by. Then came coronavirus.

Financial services companies were skeptical of cloud computing's benefits and wouldn't hand over control of their data. But the pressure is rising.

New York Stock Exchange

Financial services companies were skeptical of cloud computing's benefits and wouldn't hand over control of their data. But that was before coronavirus.

Photo: John Nacion/NurPhoto via Getty Images

Businesses are learning countless lessons from the COVID-19 pandemic. For many financial services companies — thrust into a central role dispersing federal aid — the danger of relying on outdated tech infrastructure might become so clear that they accelerate the messy process of modernizing the old but critical applications that move money around the world.

The tech powering the finance industry has fared better than that of local and state governments during the crisis, but like those governments, many companies rely far too heavily on mainframes and software designed before the web, let alone the smartphone. For a variety of reasons, from technical to regulatory, financial services firms dragged their heels through much of the last decade as cloud computing matured into a solid foundation for all types of businesses.

Once upon a time, financial services companies were Silicon Valley's favorite customers, desperately buying as much computing power as possible to help their clients move faster. But it took a much longer time for them to embrace cloud computing, skeptical of the benefits and unwilling (or unable) to hand over control of their data.

With the notable exception of Capital One, only in the last few years have the bulk of these companies started to realize they need to refashion their tech infrastructure and move at least some tasks to the cloud, according to enterprise tech experts who work with the financial services industry. They expect the economic shocks of the pandemic to accelerate that shift, not only because financial service companies will serve as critical infrastructure for the world economy, but because younger companies built around modern technology are poised to take their business.

"Banks today need to urgently respond to the massive consumer demand that's ever-increasing with the Amazon-like experiences that consumers are demanding, and competitive pressures are popping up," said Dan Spurling, who as director for cloud and transformation at Slalom Consulting helps financial services companies remodel their infrastructure.

Deferred maintenance

As recently as a few years ago, around 80% of financial transactions and around 95% of ATM transactions were processed by mainframes. For a long time, that wasn't a huge issue; the world economy was humming along just fine on the back of technology first developed in the late 1950s, at least until about six weeks ago.

But for some banks, the rollout of the federal Paycheck Protection Program has exposed the limits of their tech infrastructure. Even as larger banks have mostly been able to handle the swell of clients' PPP applications, smaller regional banks have found that they often lack the modern technology infrastructure and trained IT staff to deal with an unexpected surge in demand for their services.

Like state governments, a great many financial services companies became dependent on old technology for a simple reason: It works. And while new technologies enable new capabilities, they also introduce complexity.

Security concerns were the traditional excuse for sticking with older, well-understood technologies. But cloud providers and other software companies have come a long way in securing cloud infrastructure with the requirements of sensitive customers in mind.

"Financial services lags a little bit because there is so much concern around the problems that occur if you get it wrong: There's a lot of money involved," said Craig Lowery, a VP analyst at Gartner.

And while some large banks and investment companies have moved portions of their operations into cloud computing — think human resources, finance or enterprise-resource planning applications — they remain hesitant to touch the critical applications that actually move the money.

"The challenge of getting every bank in the world to support a new mechanism for money transfer just takes time," Spurling said. "The really strategic and innovative banks are probably not going to solve that with a technology shift; they're going to solve that with a business and technology transformation."

Make it work

The largest banks in the country are further along in this transformation process, with Capital One, a cloud-computing pioneer, leading the way. Capital One has been building all of its new applications on AWS since 2015, allowing it to close multiple data centers running older tech.

Last year, JPMorgan Chase, the biggest bank in the U.S., announced it was running applications on all three major cloud providers as well as maintaining its own infrastructure. Bank of America is working with IBM to develop a cloud service that other financial institutions can use, ensuring compliance with legal and regulatory rules. Goldman Sachs recently hired a senior AWS executive to lead its cloud effort.

Rackspace, which once competed with AWS but now counts itself as a close partner of the cloud giant, is one of several companies working with the finance industry to move infrastructure to the cloud.

"What we're hearing in recent customer meetings is that most clients have gotten more optimistic about moving workloads to public cloud," said Michelle Doss, a Rackspace spokesperson. "Given the complex web of systems and applications, which have gotten even more complicated with M&As, financial services leaders are looking for solutions and partners that help them meet regulatory compliance needs and build a secure environment."

Even before the pandemic, financial services companies were under siege from startups like Robinhood, SoFi and Stripe, who are enabling financial transactions across mobile and other newer platforms. Backed by billions in venture capital without existing business lines to service, these newcomers are putting intense pressure on incumbents. (Though Robinhood's horribly timed meltdown at the onset of the pandemic damaged its reputation.)


Protocol Cloud, your weekly guide to the future of enterprise computing. Sign up now.


But smaller banks tend to rely on third-party financial services firms like FIS, Fiserv and Finastra for help when they finally decide to modernize their tech infrastructure, Spurling said. And those companies might go the way of many home renovations, building a pretty facade over what remains an aging foundation.

"The consumer experience will be delivered by more cloud-native services," he said, "but the back end of data, or movement or actual financials, will continue to rely on those heritage technologies."

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins