Online Fraud Reports

10 common uses for machine learning applications in business
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
Posted: 09 Feb 2023 | Published: 09 Feb 2023

TechTarget ComputerWeekly.com

A Computer Weekly buyer's guide to blockchain technology
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Blockchain technology is increasingly showing its value to business. In this 15-page buyer's guide, Computer Weekly looks at the challenges the technology still needs to overcome, how it's shaping the use of data and what it can do for information security professionals.
Posted: 08 Feb 2021 | Published: 16 Oct 2019

TechTarget ComputerWeekly.com

The Impact of Business Analytics on Performance and Profitability
sponsored by SAS
WHITE PAPER: Let it be stated plainly: Business analytics are the key to achieving these challenging objectives. Our world generated more data in 2009 than in the previous recorded history of mankind. A good deal of this data can be converted into useful information and competitive advantage – by applying the right analytics.
Posted: 30 Jul 2010 | Published: 30 Jul 2010

SAS

Who's in Your Wallet? Stemming Credit Card Fraud
sponsored by TechTarget Security
EBOOK: Access this technical guide and learn about the standards the payment card industry uses to mitigate the problem including the costs of such standards to your business. Find out the latest info on credit card fraud, industry guidance and how to optimize your system for legitimate customers.
Posted: 13 Feb 2015 | Published: 13 Feb 2015

TechTarget Security

WagerWorks Takes Fraudsters Out of the Game Using iovation Device Reputation
sponsored by iovation, Inc.
CASE STUDY: In this paper WagerWorks covers how to deal with fraud challenges and resolution requirements of the casino industry.
Posted: 14 Dec 2009 | Published: 11 Dec 2009

iovation, Inc.

IBM InfoSphere Guardium Data Redaction
sponsored by IBM
WHITE PAPER: InfoSphere Guardium is a key part of the IBM InfoSphere portfolio. IBM InfoSphere software is an integrated platformfor defining, integrating, protecting and managing trusted information across your systems.
Posted: 13 Apr 2011 | Published: 13 Apr 2011

IBM

How retailers can manage customer data collection to decrease fraud
sponsored by SonicWALL
EGUIDE: This expert Q & A session explores the challenges retailers face as they increase data collection to combat fraudulent returns and policy abuse in today’s struggling economy. Find strategic advice on how retailers can cut down on fraud and determine the necessary tools and processes that must be in place to protect customer identities.
Posted: 07 Mar 2011 | Published: 07 Mar 2011

SonicWALL

Client Case Study: London Borough of Brent
sponsored by IBM
WHITE PAPER: This paper discusses how Brent used IBM to supply the customer data integration and master data management (MDM) to consolidate back-end systems to reduce administration costs, improve customer service and minimise benefit fraud.
Posted: 28 Jul 2011 | Published: 28 Jul 2011

IBM

Securities and capital markets
sponsored by IBM
WHITE PAPER: IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
Posted: 07 Jul 2011 | Published: 07 Jul 2011

IBM

A "How-To" Guide on Using Cloud Services for Security-Rich Data Backup
sponsored by IBM
WHITE PAPER: Find out how cloud services for security-rich data backup can help your organization avoid the risks involved with data growth.
Posted: 25 Aug 2014 | Published: 30 Sep 2012

IBM