PYMNTS

DECEMBER 29, 2016

Fraud Prevention Remains Paramount. Cybersecurity and Big Data firm ThetaRay released its own predictions for banking security in the new year, with CEO Mark Gazit forecasting several trends likely to impact corporate banking in particular. The list of cyberattacks on banks from 2016 is long.

Security 181

Security Fintech Boston Groups 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.

Big Data 78

Big Data Compliance Resources Fraud 78

PYMNTS

APRIL 10, 2019

Yet, as supply chains expand across borders, a new burden has landed on procurement teams’ shoulders: compliance. ” Electronic invoicing requirements are one example of markets’ heightening focus on tax compliance. . That burden can come in many forms.

Taxes 139

Taxes Compliance Regulation Data 139

CFPB Monitor

SEPTEMBER 8, 2022

He advised banks to closely monitor risk and compliance in these partnerships.

Fintech 146

Fintech Risk Management Conference Lending 146

PYMNTS

MAY 19, 2017

On top of the risks of invoice and payment fraud when dealing with unfamiliar organizations, businesses risk compliance with local regulations when dealing with new partners internationally. Process compliance and visibility are key elements of Basware’s solution.

Data 100

Data Big Data Compliance Fraud 100

PYMNTS

JUNE 12, 2018

.” Again, traditionally, time-tracking processes are often manual and paper-based, leaving the door wide open for payroll fraud, errors and conflict when compensation disputes arise. There are regulatory implications for these seemingly straight-forward processes, from maintaining compliance to safety mandates, to labor laws.

Fraud 131

Fraud Industry Innovation Technology 131

PYMNTS

OCTOBER 27, 2019

The solution is designed to remove friction from the user onboarding process, while also preventing online identity fraud and meeting anti-money laundering (AML) and know your customer (KYC) compliance rules. Jumio has announced the beta release of Jumio Go, the company’s first real-time, fully automated identity verification solution.

Tools 104

Tools Big Data Fraud Data 104

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. Source: FICO Blog.

Analytics 52

Analytics Fraud Big Data Data 52

PYMNTS

AUGUST 25, 2016

For more than a decade, Rich has been involved in developing fraud mitigation, compliance and Big Data strategies. His background in enterprise-class systems has helped shape Kount’s into an industry-leading platform that helps clients boost sales and beat fraud.

Compliance 100

Compliance Fraud Innovation Big Data 100

PYMNTS

MARCH 8, 2019

That risk is missing out on the potential reward of monetizing data in a pragmatic way that doesn’t run afoul of compliance issues — which, Koch told Webster, comes in the form of a margin that can exceed 85 percent. Maybe you want to create the next big AML or fraud prevention product.”. The Three Types Of Data.

Data 170

Data Strategy Maine Innovation 170

CFPB Monitor

FEBRUARY 13, 2017

The FTC has sent its annual letter to the CFPB reporting on the FTC’s activities related to compliance with the Equal Credit Opportunity Act and Regulation B. Big data report. Report on fraud in African American and Latino communities. The survey could be a prelude to such rulemaking.). Fintech forum.

Report 68

Report Big Data Lending Survey 68

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.

Data 131

Data Big Data Regulation Risk Management 131

Insights on Business

DECEMBER 7, 2017

In finance, AI is helping detect and fight fraud before it can be detected by humans. Stacks of new compliance regulations are being fed into artificial intelligence systems like IBM Watson to help businesses stay on top of the ever-changing rules. Blockchain. It might even make technology look intuitive.

Trends 145

Trends Technology Fintech blockchain 145

Abrigo

JULY 14, 2023

However, many financial institutions, especially smaller banks and credit unions, lack BI or business intelligence staff and complex technical infrastructures associated with “big data” options.

Strategy 195

Strategy Data Analytics Analysis 195

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

ABA Community Banking

FEBRUARY 18, 2019

Staying ahead of financial crime and compliance risk has become more complex and expensive than ever before Financial Research Feature Financial Trends Technology Risk Management Feature3 AML & Fraud Security Tech Management BSA/AML Fintech Payments Risk Adjusted Checks/Remote Deposit Capture Compliance Management Compliance/Regulatory Cyberfraud/ID (..)

Compliance 45

Compliance Big Data Risk Management Fraud 45

FICO

MARCH 18, 2020

In that blog I introduced FICO’s patented Multi-Layered Self-Calibrating (MLSC) fraud model , which we have successfully deployed to overcome regional- and usage-specific variations in normal prepaid card spending behaviors, and find more prepaid card fraud. Put on your data scientist propeller beanie and let’s go!

Fraud 52

Fraud Cards ATM Groups 52

NCR

SEPTEMBER 8, 2016

We’re constantly being warned that fraud is one of the biggest threats facing the banking industry, but the true scale of this was revealed by a recent survey that suggests it could make up as much as half of all crime. million recorded cases of fraud , 1.4 Instead, banks need to show they are working hard to cut down on fraud.

Fraud 40

Fraud Industry Software National 40

Insights on Business

FEBRUARY 11, 2019

These regulatory and legal restrictions and public cloud deployment reluctance are especially true for the financial industry and, probably more so, within the financial crimes and compliance space, where highly-sensitive, entity-related information is stored and continuously examined in highly-regulated processes.

Compliance 87

Compliance Security Big Data Analytics 87

FICO

FEBRUARY 1, 2017

Funnily enough, this scene parallels the problems discussed at a FICO roundtable on ‘How to Fight Auto Loan Fraud’ held this week at the AFSA Vehicle Finance Conference & Expo. The misuse of SSNs from children and the elderly was also seen as a growing loophole for fraud and abuse.

Fraud 40

Fraud Analytics social media Data 40

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

JULY 11, 2017

More than two-thirds told researchers that compliance and regulatory requirements are holding them back from providing more trade finance in the short term, while cost control pressures were identified as the top challenge for FIs’ (financial institutions) trade finance operations. “The It will grow to be very exciting in the coming years.”.

Analytics 109

Analytics Risk Management Fintech Data 109

FICO

JUNE 4, 2019

Industry veterans and innovators will share insights, know-how and advice for using analytics in financial services, banking, automotive finance, mortgage lending, telecommunications, insurance and regulatory compliance. Financial Crime & Fraud. Regulatory Compliance. AI & Machine Learning. Auto Finance.

Analytics 40

Analytics New York Conference Case Study 40

FICO

MAY 28, 2019

Industry veterans and innovators will share insights, know-how and advice for using analytics in financial services, banking, automotive finance, mortgage lending, telecommunications, insurance and regulatory compliance. Financial Crime & Fraud. Regulatory Compliance. AI & Machine Learning. Auto Finance.

Analytics 40

Analytics New York Conference Case Study 40

Gonzobanker

MARCH 6, 2020

These systems are key components of performance optimization, which relies on technology to address operational inefficiencies or data integrity challenges by automating current manual processes or leveraging under- or non-utilized system capabilities. Technology: The ‘Must Have’ List Is Growing.

Operations 84

Operations System Groups Technology 84

American Banker

SEPTEMBER 6, 2016

The sheer amount of data created in recent years has exploded, leaving banks with a tremendous amount of data sets to mine through. Community banks need to utilize analytics to stay competitive with their big-bank peers.

Big Data 28

Big Data Data Analytics Community Bank 28

FICO

APRIL 10, 2019

The Chartis Vendor Analysis report highlights the impact of FICO’s AI developments in two areas related to fraud detection and regulatory compliance – real-time payments and anti-money laundering (AML): “Real-time payments are rapidly gaining traction in the US, spurred partly by dramatic growth in the use of P2P services and mobile payments. “At

Analysis 51

Analysis Fraud Big Data Report 51

FICO

DECEMBER 15, 2022

I’ve previously discussed our company’s work on an Artificial Intelligence-based scams model for FICO® Falcon® Fraud Manager and the technology behind it. To build the award-winning scams model, my team had to take a different approach from our traditional work on fraud models. Explore all our fraud prevention and detection offerings.

Analytics 52

Analytics San Diego Fraud Cyber Security 52

Gonzobanker

AUGUST 17, 2016

For banking, top business drivers have included customer engagement and innovation, but also just plain old know-your-customer regulatory and compliance expectations. Reduce the cost of compliance by presenting regulatory information in an enterprise-wide dashboard. Got Big Data Under the Hood? But, let’s face it.

Leadership 60

Leadership Tools Big Data Risk Management 60

Fintech Labs Insights

OCTOBER 6, 2016

NetGuardians enables banks to beat fraud and automate compliance. The company’s software leverages Big Data to correlate and analyze user behaviors across the entire bank system – not just at the transactional level. A look at the companies demoing live at FinovateAsia on November 8, 2016 in Hong Kong.

Big Data 20

Big Data Fraud Analytics Regional 20

FICO

JUNE 9, 2022

Artificial intelligence (AI) and machine learning (ML) technologies have long been effective in fighting financial crime, used more than 30 years for fraud detection. This has resulted in Compliance organizations being inundated with false positives and, in some cases, detecting only 1-2% of money laundering transactions. .

Analytics 52

Analytics San Diego Data Cyber Security 52

CB Insights

AUGUST 16, 2017

C3 IoT provides a platform for the design, development, and operation of enterprise-scale big data, predictive analytics, AI, and IoT applications. C3 IoT’s offerings also include turnkey SaaS IoT applications for issues such as fraud detection, supply chain optimization, and customer engagement.

Meeting 68

Meeting US Capital North Carolina 68

FICO

APRIL 21, 2023

My priorities in testing the potential of UltraFICO Score with DDA attributes were speed to market, simplicity and leveraging an existing scorecard already built on the data – and it didn’t hurt that FICO was the organization that developed and branded it from a marketing, approval and compliance standpoint.

Data 52

Data Lending Trends Branding 52

Fintech Labs Insights

JUNE 25, 2015

Payments risk & compliance management. Fraud detection. Data analytics with financial services focus. Tags: Investing, analytics, BI, big data, information. Total raised: $15.2 Source: The Oregonian. HQ: Palo Alto, California. Latest round: $12 million. Total raised: $21.5 Source: FT Partners.

Puerto Rico 12

Puerto Rico St. Louis Fintech Company 12

Fintech Labs Insights

JANUARY 11, 2017

Fraud detection. Feedzai ( FEU14 ) uses AI combined with machine learning to analyze sets of big data created during a user’s online sessions to mitigate fraud associated with online account opening, payments, and ecommerce. AI is already heavily leveraged for use in fraud detection. Regulatory compliance.

Fintech 12

Fintech Compliance Examples San Francisco 12

Fintech Labs Insights

DECEMBER 14, 2015

million to further card-fraud methods. BankersLab received an undisclosed investment towards its commercial lending training & compliance tools. Lending training & compliance platform. Tags: Insurance, analytics, big data, underwriting, Startupbootcamp (accelerator). Rippleshot was given another $1.2

San Francisco 12

San Francisco Company Fintech New York City 12

CB Insights

AUGUST 14, 2017

C3 IoT provides a platform for the design, development, and operation of enterprise-scale big data, predictive analytics, AI, and IoT applications. C3 IOT’s offerings also include turnkey SaaS IoT applications for issues such as fraud detection, supply chain optimization, and customer engagement.

US 28

US Capital North Carolina Data 28