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

AI in Fraud Management: Uses cases, benefits and challenges
sponsored by TechTarget ComputerWeekly.com
EGUIDE: AI is involved in many cybersecurity processes. Now, AI has its sights set on improving the fraud detection and management landscape. In this e-guide, learn about the use cases, as well as the benefits and challenges organisations should keep in mind when implementing AI into their fraud detection and management processes.
Posted: 01 Mar 2023 | Published: 08 Mar 2023

TechTarget ComputerWeekly.com

8 big data use cases for businesses and industry examples
sponsored by TechTarget ComputerWeekly.com
EGUIDE: For businesses, the ability to deal with big data is important: it can bring companies significant business value, from enabling cost optimization and improved efficiency to providing better customer insight. In this article, we'll explore 8 use cases that show big data's profound impact on businesses across different industry sectors.
Posted: 09 Feb 2023 | Published: 09 Feb 2023

TechTarget ComputerWeekly.com

Network Security: Spotlight on Australia/New Zealand
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide learn more about how security leaders are turning to AI to take out the bad guys, how blockchain can help secure an IoT network, and whether network security strategies are keeping up with emerging cyber threats.
Posted: 08 Feb 2021 | Published: 21 Jun 2018

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

Compliant Statement Archiving and Presentment for Financial Services
sponsored by EMC Corporation
WHITE PAPER: Read this white paper to learn how, by adapting a managed approach to archiving and presenting customer statements, financial services organizations can satisfy regulatory, good governance, and legal requirements.
Posted: 24 Sep 2008 | Published: 24 Sep 2008

EMC Corporation

Fraud Prevention and Detection for Credit and Debit Card Transactions
sponsored by IBM
WHITE PAPER: Over the past 20 years, financial institutions, governments, insurers and retailers have seen an explosion in the amount and types of fraud perpetrated against them.
Posted: 07 Jul 2011 | Published: 01 Aug 2009

IBM

Fraud management: A perennial business issue
sponsored by TechTarget ComputerWeekly.com
EGUIDE: In this e-guide we will explore the current cyber fraud landscape and look at some organisations in the region that are using technology to overcome the challenges posed by fraudsters.
Posted: 08 Oct 2021 | Published: 08 Oct 2021

TechTarget ComputerWeekly.com

The Cybercrime Arms Race
sponsored by Kaspersky
WHITE PAPER: Read this white paper and find out how cybercrimes have become so pervasive and how these sophisticated attacks work. Discover today's cybercrime techniques and how to recognize them.
Posted: 18 Feb 2008 | Published: 01 Feb 2008

Kaspersky

Leverage Security Intelligence for Retail
sponsored by IBM
WHITE PAPER: This informative solution brief highlights the challenges and potential solutions that can be implemented to help embrace mobile customers, protect payment and personal data and deliver a secure shopping experience.
Posted: 06 Mar 2014 | Published: 31 Oct 2013

IBM