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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Insights on Business

DECEMBER 7, 2017

In a landscape where new technology arises, gets implemented and goes mainstream in a heartbeat, I wanted to cover five of the most impactful trends currently impacting the FinTech industry today: 1. In finance, AI is helping detect and fight fraud before it can be detected by humans. It might even make technology look intuitive.

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Insights on Business

JUNE 3, 2019

Because of this, traditional rules-based fraud detection systems have become outdated and no longer work. Today, real-time payments require real-time fraud detection. Modern payment fraud schemes require modern prevention. Data-science-project-turned-fraud-prevention-solution vs. purpose-built-fraud-prevention-solution.

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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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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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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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PYMNTS

MAY 3, 2017

NACHA may have assured some banks that Same Day ACH hasn’t led to an increase in payments fraud, but concerns remain widespread about how the initiative and other faster payments efforts will reduce the window of opportunity for FIs to detect and prevent an incident. We do believe that there will be a greater uptick in fraud attempts.”.

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Payments Source

MAY 7, 2019

Every organization has some kind of plan for the future, but advances in technology, cyber threats, changes in regulation and political uncertainty make it extremely difficult to plan for what lies ahead, writes Ian Stone, CEO of Veualta.

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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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PYMNTS

JULY 25, 2019

The latest Digital Fraud Tracker explores why fraudsters are still relying on phishing as a major strategy even as they increase their use of new technologies and techniques. An uptick in fraud also means a growing online fraud prevention market. Much of the problem stems from the rush to adopt new technology.

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PYMNTS

MARCH 22, 2018

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

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PYMNTS

OCTOBER 29, 2019

Cybersecurity and fraud protection company DataVisor , which uses artificial intelligence to help with fraud solutions, has launched a program called ExtenD, with the intention of helping medium to larger businesses with their cybersecurity and fraud needs, the company said in a press release.

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PYMNTS

JUNE 2, 2017

First Data, the global commerce-enabling technology company, announced Thursday (June 1) the launch of Fraud Detect, a fraud solution for merchants around the world. According to First Data, using artificial intelligence, Fraud Detect analyzes vast data sets to identify fraud and potential chargebacks.

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PYMNTS

JUNE 15, 2017

Can data make all the difference in the fight against payments fraud? Yes — if you know what to do with the data, and if you know where to find it in the first place. The discussion played off the findings of a new whitepaper from the firm titled, “Driving Up Conversion with Effective Fraud Management.”.

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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.

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PYMNTS

FEBRUARY 13, 2020

What is necessary, said Xie, is a different, more holistic paradigm for fighting fraud – with a broad goal of not adding more authentication steps, but fewer. And there is no technological innovation coming down the pipeline that will put that information back in the box. Learning to Spot the Good Customers.

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Bobsguide

JULY 28, 2016

Banks in particular realise that advanced data and analytics technology could provide solutions to some of their biggest challenges such as, retaining customers, keeping up with competition, compliance and tackling fraud. Big data presents lots of opportunities for companies to personalise the.

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PYMNTS

DECEMBER 21, 2016

In a piece on Recode , he said Alibaba is taking a “more holistic and technology-driven IPR-enforcement approach,” which involves a new app that’s designed to discern data patterns to better track down and expose counterfeiters. This is making it much more difficult for these illicit actors to hide,” he added.

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PYMNTS

OCTOBER 2, 2018

Squeezed out of tried-and-true methods of card fraud (thanks in no small part to EMV), the fraudsters are eyeing how to interfere with the money that firms legitimately send in the course of normal, daily business life. Among the more prevalent criminal methods focused on business, according to Divitt: new relationship 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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Banking Exchange

OCTOBER 14, 2019

Traditional statistical models are limited in the number of dimensions they can access Risk Management Technology Feature3 Fintech Feature Financial Research Big Data AML & Fraud Security Cyberfraud/ID Theft Profitability Performance.

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PYMNTS

DECEMBER 29, 2016

One thing’s for certain: Corporate banks everywhere need to embrace technology. Fraud Prevention Remains Paramount. In 2017, analysts say, corporate banking institutions need to keep cybersecurity top-of-mind when adopting new technologies to help them stay competitive. The list of cyberattacks on banks from 2016 is long.

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PYMNTS

OCTOBER 9, 2018

“This partnership signals a deep collaboration with Microsoft on an array of technology projects, including big data and artificial intelligence, that will transform the delivery of everyday services and mobility solutions in Southeast Asia,” said Ming Maa, president of Grab, in the press release. “As

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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. Fraud analytics is an umbrella term covering a lot of technologies — let’s look at the two big categories.

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PYMNTS

OCTOBER 29, 2019

Cybersecurity and fraud protection company DataVisor , which uses artificial intelligence to help with fraud solutions, has launched a program called ExtenD, with the intention of helping medium to larger businesses with their cybersecurity and fraud needs, the company said in a press release.

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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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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

Thirty-three years ago, Tom Thimot, the newly appointed CEO of Socure , collaborated with founder Sunil Madhu on a business specializing in physical identity verification and access solutions: Netegrity, which was ultimately sold in 2005 to CA Technologies for $430 million. The Big Picture.

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PYMNTS

MAY 5, 2017

Goldman Sachs Principal Strategic Investments led the investment, Nav said, while CreditEase FinTech Investment Fund, Point72 Ventures and Clocktower Technology Ventures also participated. Based in China, IceKredit wields Big Data to provide credit evaluation services for small businesses.

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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 the fraud management space, BI can be thought of as a descriptive performance reporter. Data Science.

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BankNXT

APRIL 10, 2017

Amit Balooni on how technology can help in the ongoing war against fraud and cybercrime, and how the anti money laundering onus is still on the banks. How technology is helping overcome anti money laundering challenges on BankNXT.

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PYMNTS

SEPTEMBER 13, 2019

That said, digital technology and so-called Big Data promise to make the job of such criminals harder in the future, at least according to the story told by Tim Grace, CEO at PointPredictive and Frank McKenna, the company’s chief fraud strategist. We can get more predictive on capturing fraud,” he said.

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Insights on Business

FEBRUARY 11, 2019

In recent months, some prominent organizations have begun moving away from their traditional pattern of purchasing colossal, general-purpose infrastructure technology, and have begun looking towards personalized technology options. The purpose-built real-time ‘dual-access’ datastore for payment fraud prevention.

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PYMNTS

JUNE 12, 2018

There is a sudden surge in construction technology startups, and investors have perked up. JBKnowledge released a staggering figure in 2016: That year, 70 percent of construction companies used 1 percent of less of their revenue to invest in technology. However, this recent surge in tech innovation is helping to forge a new path.

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PYMNTS

SEPTEMBER 14, 2016

And according to Ed Abbo, president and chief technology officer of C3 IoT , fraud detection is paramount in the global power industry, which is a $30 billion–$40 billion industry. PYMNTS caught up with Abbo to learn more about C3 IoT’s work, particularly in the areas of mobile devices, Big Data and fraud protection.

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