fraud detection

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Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software APAC
Published By: SAS     Published Date: Aug 13, 2018
You may know some data management basics, but are you aware of the transformational results that can result from doing data management right? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.
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SAS
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Superior business outcomes require businesses to consider IT a core competency. For IT, an agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service delivery model. The more up to date the infrastructure, the more capable it is of supporting the scale and complexity of a changing application landscape. Current-generation applications must be supplemented and eventually supplanted with next-generation (also known as cloud-native) applications — each with very different infrastructure requirements. Keeping infrastructure up
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Dell EMC & Intel
Published By: SAS     Published Date: Jul 14, 2015
An Enterprise Approach to Fraud Detection and Prevention in Government Programs.
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fraud, detection, prevention, cost savings, efficiency
    
SAS
Published By: Dell and VMWare     Published Date: Oct 26, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance.
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Dell and VMWare
Published By: Dell and VMWare     Published Date: Oct 26, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance.
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Dell and VMWare
Published By: Dell and VMWare     Published Date: Oct 26, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance.
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Dell and VMWare
Published By: Dell and VMWare     Published Date: Oct 26, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance.
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Dell and VMWare
Published By: Dell EMC & Intel     Published Date: Apr 13, 2018
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Superior business outcomes require businesses to consider IT a core competency. For IT, an agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service delivery model. Dell EMC’s Intelligent Automation powered by Intel® Xeon® Platinum processor simplifies the management and maintenance of its PowerEdge server hardware. Designed to drive down the cost and resources associated with server lifecycle management, Intelligent Automation relies on integrated Dell Remote Access Controller(iDRAC) and OpenManage server management soft
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Dell EMC & Intel
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business: - Customer satisfaction and retention - More effective HR processes - Fraud and threat detection and prevention - Revenue growth and profitability
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ibm, analytics, predictive analytics
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: IBM     Published Date: May 26, 2017
A significant challenge for many organizations has been enabling their analysts to find the "unknown unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime. IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective early-detection, cyberintelligence weapon for its arsenal.
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security. ibm, ibm i2, cyber-intelligence, fraud, malware
    
IBM
Published By: Fiserv     Published Date: Sep 14, 2017
Sanctions screening and fraud prevention solutions use real-time detection to prevent terrorist financing and financial crime; whereas anti-money laundering (AML) primarily follows an “observe and report” process. Such a process is all that is currently required by many regulators. Increasingly though, international compliance teams are choosing to stop transactions before they are executed – based on suspicions of money laundering activity. More and more, the industry has been asking itself if this approach of rejecting suspicious activity is a more effective strategy to prevent money laundering. This paper explores where and why AML real-time detection might make sense as a new paradigm for global financial institutions.
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aml, anti-money laundering, compliance, regulatory compliance, financial crime, financial crimes, financial action task force, fatf, customer due diligence, cdd, aml monitoring solutions, currency transaction reporting
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: •Global payment initiatives •Open Banking standards •Artificial intelligence and machine learning •Consumer demand for real-time fraud prevention and detection
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: Fiserv     Published Date: Jul 09, 2018
Cash may be popular with consumers, but it often presents challenges and extra costs for retailers. Manually handling, counting, reconciling and depositing cash every day, or multiple times a day, can be expensive. Smart safe technology and automated cash handling can help and benefit all areas of your business – from Finance to Operations to Loss Prevention – but, more importantly, your customers. Read this eBook to learn the four key benefits of automated cash handling: • Maximize your cash flow • Gain more flexibility with open systems • Reduce shrinkage and reconciliation • Care for customers instead of counting cash
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cash automation, smart safe, cash handling, cash-in-transit, cash management, cit, cash vault, cash counting, cash reconciliation, cash transaction, fraudulent currency, counterfeit detection, counting errors, shrinkage, reconciliation
    
Fiserv
Published By: Teradata     Published Date: Jun 12, 2013
The ever-changing environment has offered fraudsters some tactical advantages to probe for holes in the defenses of financial services companies. Conventional approaches to fraud detection and remediation remain effective to a point, but conventional tools cannot effectively and economically process what is known as big data.
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enterprise risk intelligence, fraud detection, big data, fraud prevention, finance
    
Teradata
Published By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting, business transformation, fraud, digital transformation
    
MarkLogic
Published By: SAP     Published Date: Jul 18, 2016
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
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SAP
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing, finance
    
IBM
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: Fiserv     Published Date: Mar 02, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations. In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: • Global payment initiatives • Open Banking standards • Artificial intelligence and machine learning • Consumer demand for real-time fraud prevention and detection
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cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
    
Fiserv
Published By: IBM     Published Date: May 02, 2018
Learn what factors to consider in making your business case for digital identity fraud detection.
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identity fraud, security, fraud detection
    
IBM
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