Perficient

OCTOBER 15, 2020

The world of modern data and analytics continues to evolve and is very exciting. The change really began in earnest about 10 years ago with the introduction of Hadoop and big data processing. While this explosion of data use cases started on premises, it is most certainly migrating to the Cloud as the primary platform.

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PYMNTS

JUNE 13, 2019

Countering digital fraud is a lot like playing whack-a-mole: As soon as one fraudster is taken out, two more pop up where they’re least expected. The popularity of digital banking services has created ample opportunities for bad actors, leaving banks scrambling to protect themselves against the rising tide of fraud.

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PYMNTS

MAY 23, 2018

As the speed of payments increases around the world, the potential scope of fraud shifts to targets beyond cards. Faster payments does not necessarily mean more fraud,” Kearns said. “It Such a view enables an organization to spot idiosyncrasies that other types of fraud prevention technologies might miss.

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Fraud How To Payments Big Data 118

Banking Exchange

FEBRUARY 26, 2020

Online payment fraud could cost companies more than $200 billion over four years, finds Juniper Research Risk Management Technology AML & Fraud Cyberfraud/ID Theft Compliance/Regulatory Operational Risk Big Data Security Online Cards BSA/AML Feature3 Feature Financial Research Payments.

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Fraud Big Data Risk Management Compliance 97

NCR

MAY 22, 2017

Big data has been one of the tech industry’s most popular buzzwords for a few years now. But as the number of data sources grows and technology to process it becomes more powerful, the trend is changing from a nice-to-have addition to becoming an essential part of any company’s offering. Fighting fraud.

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PYMNTS

APRIL 14, 2017

While the fraud ecosystem continues to rapidly develop and advance, big data may prove itself to be a strong weapon in combatting fraud. With that thought in mind, DataVisor set off on a mission to utilize harness and analyze that could potentially detect fraud and protect billions of users around the world.

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Fraud Online Big Data Taxes 112

PYMNTS

APRIL 22, 2020

Insurance fraud is not a new phenomenon, but it is a prevalent one. Insurance providers are taking action to mitigate such problems and keep their operations and customers safe from fraud, however. Insurance providers are taking action to mitigate such problems and keep their operations and customers safe from fraud, however.

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Fraud Data System Policies 200

PYMNTS

DECEMBER 21, 2016

The Chinese eCommerce giant said that its own Operation “Cloud Sword” led to the arrest of more than 300 counterfeit gang member suspects in 164 investigations. Alibaba is combating the growing threat of pirates and counterfeiters with the help of could computing.

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Big Data Data Groups Operations 100

PYMNTS

JUNE 27, 2018

Now, as financial institutions (FIs) embrace Big Data and the algorithms, the idea of applying context to banking transactions stands to gain more popularity and profit potential. The goal of the technology is to determine, via business data, the “best-next” actions for banking clients.

Big Data 171

Big Data Analytics Case Study Data 171

Gonzobanker

MARCH 6, 2020

Addressing common loan and deposit operations process inefficiencies can help financial institutions deliver optimized value to customers and stockholders. In recent years, many financial institutions have been focused on improving their digital delivery capabilities, often at the expense of their operational groups.

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PYMNTS

JANUARY 14, 2021

One unfortunate result of this shift has been an uptick in fraud, with bad actors taking advantage of digital channels to victimize customers and retailers more easily than they could during face-to-face interactions. It turns out there was a big data breach. … How Swap.com Stomps Out Fraud.

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PYMNTS

JANUARY 17, 2018

Of these, Big Data, blockchain and AI are integral to a successful and progressive FinTech industry.”. The company announced the financial support while noting it aims to develop its own Big Data and AI solutions and to apply blockchain, cloud and SaaS technologies into its operations as well.

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FICO

OCTOBER 29, 2018

The recent fascination with artificial intelligence and machine learning has made some of us ( naturally intelligent) humans confused about the role that these technologies play in the broader field of fraud analytics. In this blog post, I explain their usage and particularly how they will operate in the open banking revolution.

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PYMNTS

NOVEMBER 11, 2019

Data holds the key to helping modern enterprises develop effective anti-fraud strategies. Many businesses are sitting on massive troves of it, but they are also facing down the three “V’s” of data complexity — velocity, variety and volume — which can make tackling fraud even harder. . Structured Versus Unstructured Data.

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PYMNTS

MAY 1, 2018

From there, Madhu worked for Cisco and founded Hopskoch and Socure, while Thimot built a number of businesses that straddled data and security in some way. Most recently, Thimot was the CEO of Clarity Insights, which he built into the largest Big Data analytics consultancy in the U.S. The Big Picture.

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Big Data CA Training Data 181

Banking Exchange

JANUARY 5, 2020

Qualified candidates are few and far between, demand is high Compliance BSA/AML Operational Risk Compliance Management Compliance/Regulatory Big Data Feature3 Human Resources Feature Management AML & Fraud.

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Big Data Compliance Resources Fraud 78

FICO

OCTOBER 28, 2018

The recent fascination with artificial intelligence and machine learning has made some of us ( naturally intelligent) humans confused about the role that these technologies play in the broader field of fraud analytics. In this blog post, I explain their usage and particularly how they will operate in the open banking revolution. .

Analytics 52

Analytics Fraud Big Data Data 52

CFPB Monitor

SEPTEMBER 8, 2022

Kevin Greenfield, OCC Deputy Comptroller for Operational Risk, is reported to have warned banks that they can be liable for customer harm arising out of fintech partnerships, such as violations of consumer protection laws and unfair and deceptive practices.

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PYMNTS

MAY 5, 2017

Based in China, IceKredit wields Big Data to provide credit evaluation services for small businesses. Using machine learning technology, the company offers personal credit evaluation, anti-fraud services and other data products, while additionally providing credit assessment and online loan management tools for banks and other lenders.

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Insights on Business

FEBRUARY 11, 2019

This is magnified by the necessity of a tailored approach while implementing payment fraud prevention as well. The purpose-built real-time ‘dual-access’ datastore for payment fraud prevention. In the past, fraud patterns generally did not change much over time. IBM Safer Payments leads to increases in accuracy, speed.

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Fraud Management Resources Analysis 70

PYMNTS

DECEMBER 23, 2019

Impersonation fraud — where a cybercriminal pretends to be someone they aren’t in an attempt to make off with funds — gets a lot of attention, and for good reason. More insidious and much harder to track, Townsley-Solis told Webster, is synthetic ID fraud. The Synthetic Fraud Slow Roll .

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PYMNTS

NOVEMBER 30, 2018

A new report from specialist insurer Hiscox recently revealed an unsettling trend about employee fraud and embezzlement: Most of the time, the scam involves two or more workers. According to Hiscox research, the most popular method is billing fraud (i.e. Scams can last months, or even years. The average cost of such a scam is $357,650.

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BankUnderground

JUNE 25, 2020

But potential fragmentation of the global data supply chain now poses a novel risk to financial services. In this blog post, we first discuss the importance of data flows for financial services, and then potential risks from blockages to these flows. Big Data and financial services. This has been driven by three factors.

Data 131

Data Big Data Regulation Risk Management 131

PYMNTS

SEPTEMBER 6, 2016

Citing the PYMNTS Global Fraud Attack Index , Jenkins explained that there were 27 fraud attacks for every 1,000 transactions in Q4 2015, an increase of 215 percent over 12 months. It’s all about the data : Second is to use Big Data analytics to get an omnichannel perspective. CA Technologies’ Roadmap.

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South State Correspondent

AUGUST 22, 2022

Commodore didn’t know about its customer and didn’t have enough feedback from operations to understand its margins were inadequate. Clean Data Reduces Operational Cost Across the Bank: Creating a centralized place for your data allows you to solve data quality issues to produce a “single source of truth.”

Data 195

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ABA Community Banking

JANUARY 30, 2019

Bankers have a powerful, yet underutilized, tool at their disposal: machine learning data analytics Feature Technology Risk Management AML & Fraud Tech Management Operational Risk Cyberfraud/ID Theft Big Data Feature3 Fintech.

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Fraud Big Data Risk Management Analytics 40

PYMNTS

AUGUST 25, 2016

On Wednesday, September 21, 2016 at 1:00 PM (EST) , join Rich Stuppy, Chief Operating Officer of Kount , and Karen Webster, CEO of MPD, for a live digital discussion about the vulnerability of larger groups, like the Pokémon GO user base, and why they are a prime target for fraudsters and scammers.

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CFPB Monitor

FEBRUARY 13, 2017

Big data report. In January 2016, the FTC issued a report warning that certain uses of big data consisting of consumer information may implicate various federal consumer protection laws. Report on fraud in African American and Latino communities. The survey could be a prelude to such rulemaking.).

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Report Big Data Lending Survey 68

PYMNTS

APRIL 10, 2019

“Over the past few years, governments have begun using Big Data and technology to digitize existing and new tax regulations in an attempt to reduce value-added tax (VAT), and sales- and use-tax gaps,” he told PYMNTS in a recent interview. “They are now audit targets.”

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NCR

JULY 12, 2017

But when it comes to making the best use of digital information, is there a difference between simply having access to this information and truly understanding what data we already have and how it can be used effectively?12. A few key use cases for big data have been around for some time. The benefits of being data-driven.

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PYMNTS

JUNE 3, 2016

On Tuesday (May 31), the company announced a $45 million funding round with some big-time backers, including Amazon, Goldman Sachs and Hayman Capital. Existing investors GV, Icon Ventures, Kleiner Perkins Caufield & Byers, Meritech Capital Partners and Tech Operators also participated in the round, reports said. ”

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PYMNTS

JUNE 7, 2016

This particularly dynamic area of financial services, FinTech and payments is transforming how everyone across the greater financial ecosystem thinks and acts when it comes to security, fraud and protecting identities. is approaching a couple thousand dollars, and each incident of eCommerce fraud is costing merchants several hundred dollars.

Big Data 100

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PYMNTS

DECEMBER 29, 2016

which for more than a dozen years has been a technology- and data analytics-focused online financial services company. The Chicago-based business falls under Enova International, Inc.,

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Data Analytics Chicago Industry 101

PYMNTS

AUGUST 15, 2018

BioCatch said it uses its founders’ expertise in big data, machine learning and AI “to address the next generation of cyber threats by focusing on the behavior of the fraudster as opposed to adding new endpoint security layers,” according to a statement. “The

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Fraud Software New York Security 112

PYMNTS

MARCH 8, 2019

That might be an “external” strategy that simply involves selling data to a third party that does not compete with the FI — say, a fast-food operation that wants to better understand the food-buying habits of younger consumers in the morning. Maybe you want to create the next big AML or fraud prevention product.”.

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PYMNTS

APRIL 25, 2018

In a press release , Socure said that Thimot brings to the company decades of management increasing sales and operations at private and public technology companies. Socure , the provider of predictive analytics for digital identity verification, announced Wednesday (April 25) that it names Tom Thimot Chief Executive Officer.

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Analytics Big Data Innovation US 100

Cisco

APRIL 7, 2019

Failures in implementation, process, operations, or incident response all contribute to the potential for major incidents. Big Data is your mountain and your goldmine. Real-time, intelligent data integration will prove to be a key differentiator for banks of all shapes and sizes. How to deal with Big Data: 1.

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Trends Cyber Security Big Data Analytics 64