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.

Big Data 85

Big Data Data social media Fraud 85

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.

Operations 87

Operations System Groups Technology 87

PYMNTS

OCTOBER 29, 2018

There may come a day, a generation or two from now, when stories about the data breaches and other hacking threats faced by payments and commerce operators in 2018 seem quaint — or, at the least, like relatively primitive foreshadowing of a new type of digital criminality. It’s already happening, of course, albeit tentatively.

Fraud 176

Fraud Wisconsin Data social media 176

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

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.

Fraud 112

Fraud Online Big Data Taxes 112

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.

Analytics 63

Analytics Fraud Big Data Data 63

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.

Big Data 100

Big Data Data Groups Operations 100

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.

Big Data 78

Big Data Compliance Resources Fraud 78

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.

Fraud 40

Fraud Big Data Risk Management Analytics 40

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.

Analytics 332

Analytics Data Video Big Data 332

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.

Fraud 70

Fraud Management Resources Analysis 70

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.

Fraud 143

Fraud Miami Security Retail 143

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.

Analytics 116

Analytics Data Fraud Tools 116

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.

Fintech 146

Fintech Risk Management Conference Lending 146

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.

Trends 116

Trends Big Data blockchain Regional 116

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.).

Report 68

Report Big Data Lending Survey 68

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.

Fraud 139

Fraud Study Technology Payments 139

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 110

Data Big Data Regulation Risk Management 110

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.

Security 100

Security CA Payments Big Data 100

PYMNTS

NOVEMBER 28, 2019

Sure, pretty much everyone knows about the Butterball Turkey Talk Line , which offers advice from live turkey experts for consumers who are confused about how to best cook and otherwise deploy their birds for the big Thursday feast. and Canada call that line in the months of November and December, when the service is in operation.

Big Data 123

Big Data Retail Branding Data 123

FICO

NOVEMBER 11, 2020

This year our judges, in alphabetical order, are: Prasanna Dhoré, Chief Data & Analytics Officer, Equifax. Prasanna is responsible for developing the strategic vision that leads Equifax through the chaotic world of Big Data. Tomas Klinger, decision science and data director at Home Credit (previous winner).

Meeting 52

Meeting Analytics Big Data Management 52

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.

Compliance 100

Compliance Fraud Big Data Innovation 100

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.

Data 80

Data Analytics Big Data Community Bank 80

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.

Trends 64

Trends Cyber Security Big Data Analytics 64

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.”

Taxes 139

Taxes Compliance Regulation Data 139

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. ”

Security 100

Security Data Analytics Capital 100

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.,

Data 101

Data Analytics Chicago Industry 101

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.

Analytics 100

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.

Trends 48

Trends Cyber Security Big Data Analytics 48

NCR

MAY 30, 2017

There are many areas of technological innovation that are having a big impact on how the banking industry operates. The report noted that financial institutions can use AI to gain advantages such as greater efficiency, more effective risk management, better fraud detection and improved customer service.

Fraud 51

Fraud Big Data Risk Management Innovation 51

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.

Fraud 118

Fraud How To Payments Big Data 118

FICO

APRIL 7, 2016

For those of you who aren’t familiar, The Institute for Operations Research and the Management Sciences (INFORMS) is the largest society in the world for professionals in the field of operations research (O.R.), Four hands-on sessions and a fraud presentation by FICO’s Chief Analytic Officer, Scott Zoldi.

Analytics 40

Analytics Cyber Security Conference Fraud 40

FICO

DECEMBER 8, 2020

We called this engagement Operation Skinny Chimney because just as a chimney needs to only be wide enough to service the fire beneath it, Santa only needs timely, relevant answers to his questions, and nothing more.

Data 52

Data Training Chicago Analytics 52

PYMNTS

AUGUST 16, 2018

The risk mitigation and fraud management firm has published a new paper with Deloitte Consulting , detailing the rise of Robotic and Cognitive Automation (R&CA), which is dubbed to be “the future of robotics process automation.” Increasing reliance on Big Data and automated tools coincides with raising cybersecurity concerns.

CA 110

CA Technology Data Tools 110

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.”.

Data 170

Data Strategy Maine Compliance 170

FICO

DECEMBER 1, 2022

Proper model package definition will improve the operational benefits of AI. Scott is actively involved in the development of new analytic products and Big Data analytics applications, many of which leverage new streaming analytic innovations such as adaptive analytics, collaborative profiling and self-calibrating analytics.

Analytics 98

Analytics Phoenix San Diego Tools 98

PYMNTS

DECEMBER 5, 2017

Through improving technology and decreasing costs, AI and Big Data are now combining to help firms in the financial sector prevent payments fraud. The Stage was Set with Big Data. But now, AI has become more attainable as a tool that companies can tailor to their own operations.

Big Data 214

Big Data Fraud Data System 214