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big data

Results 1 - 25 of 1310Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: Jul 22, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Fraud is one of the biggest overheads for most financial firms. Detecting crime is hard as fraud constantly evolves and the tools have to be able to evolve with it. Also one of the key areas of focus for most firms is to address the cost of handling the false positives that all automated systems generate. Watch this short demonstration to learn how TIBCO’s advanced analytics and data science solutions can help you overcome these challenges.
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TIBCO Software
Published By: Expert System     Published Date: Jul 18, 2019
Although computers are better when it comes to processing and making calculations, they haven’t been able to accomplish some of the most basic human tasks, until now. Thanks to cognitive computing, machines are bringing human-like intelligence to many business applications, including big data. So, what is cognitive computing? According to Forbes, “cognitive computing comes from a mashup of cognitive science—the study of the human brain and how it functions—and computer science.” This definition is a good place to start. However, to really understand what cognitive computing is, we have to go a little deeper.
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Expert System
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Tapping into the power of big data can be daunting. So we’ve looked at the strategic areas your organization can focus on. Our overview of emerging trends revealed three challenges of big data, and opportunities therein:
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Pure Storage
Published By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how the IIoT, big data, and augmented reality are enabling a new era of cost reduction, asset management, and worker safety in water and wastewater processing.
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augmented reality, big data, water
    
Schneider Electric
Published By: Adobe     Published Date: Jun 26, 2019
Get inside the minds of key decision-makers in mid-size companies who are tackling today’s biggest content management challenges. Learn how they’re thinking, what they see as opportunities, and how they’re planning to come out on top. With more than 7,000 CMS solutions available from more than 6,000 unique suppliers, you have a mind-boggling array of options — making it hard to know which path to take and how to decide. Here's your chance to get inside the minds of key decision-makers who are tackling today’s biggest content management challenges: - Personalization - Keeping up with current technology - Difficult-to-use content management systems - Over-reliance on IT teams for simple functions - Inadequate access to customer data and insights - Integrating third-party apps - Managing and optimizing content
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Adobe
Published By: Infosys     Published Date: Jun 14, 2019
Introduction Cloud along with other technologies such as Big Data, Internet of Things, Artificial Intelligence and Blockchain have made it possible for enterprises to have bolder visions for the future. The new technologies motivate them to accelerate tier digital transformation journey and deliver more rewarding experiences to clients.
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Infosys
Published By: KPMG     Published Date: Jun 10, 2019
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network. Read this story to discover: • how data and analytics can transform operational performance • the benefits of using decision-support tools in the middle office • key lessons for getting your plans for digital transformation right.
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KPMG
Published By: Ahead     Published Date: Jun 05, 2019
Digital Business Continues to Move the Cyber Goal Posts Fortune magazine estimates that by the year 2020, US companies will spend $101 billion per year on cyber security, up 38% from 2016. With all of the money being invested in cyber security, why do the pace and complexity of new security threats continue to rise year after year? A big reason is that today’s digital business involves a more mobile workforce with expectations of immediate and on demand access to data fronted by intuitive and engaging user experiences, and often underpinned by public cloud infrastructure for increased agility and time to market.
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Ahead
Published By: VMware     Published Date: Jun 04, 2019
How can a software-defined data center help your company gain a bigger competitive advantage? To help your business stay competitive, your IT organization needs a modern data center that can provide the agility, security, and scalability required to drive innovation and growth in the digital era. Get suggestions and tips for modernizing your data center in this For Dummies guide.
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VMware
Published By: PwC     Published Date: Jun 03, 2019
Simple things. Smart connections. Big payoff. The IoT is transforming everyday objects into a vast ecosystem of information that will improve business operations. The tools you use to run your business are probably not communicating with each other. But what if they could? What if you could harness the power of connectivity and data to reduce costs, increase efficiency, and create better experiences for your customers, partners, and employees? In a recent survey, 81 percent of executives said the IoT is one of the most important technologies for their organization. Shouldn’t it be your company’s? Learn more in this report.
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PwC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Group M_IBM Q2'19     Published Date: May 28, 2019
However, big data and analytics solutions can have shortcomings. Proprietary and best-of-breed approaches can require valuable time and resources to build, integrate and maintain — while outsourcing data analytics can constrain reporting frequency and timeliness. In a world where operational efficiency and fast, reliable information is paramount, these limitations can put payers at a competitive disadvantage.
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Group M_IBM Q2'19
Published By: TIBCO Software     Published Date: May 20, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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compliance, audit, fraud, data, detection, transactions, investigation, cost
    
TIBCO Software
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
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Infinidat EMEA
Published By: Lenovo UK     Published Date: May 13, 2019
It’s time to think bigger than incremental processing power and storage capacity upgrades. In 2019 IT modernisation offers much more, providing opportunities to closely align infrastructure with your most ambitious goals and build a future-facing foundation for success. Whatever your goals, this playbook gives you six versatile strategies that can help you plan a successful IT modernisation project, supported by examples from our industry-leading data centre portfolio.
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Lenovo UK
Published By: Trimble     Published Date: May 02, 2019
Involvement in early-stage construction projects can deliver big wins for savvy contractors. By helping to materialize the vision for the project, you can position yourself as the best team to bring that vision to life. But for some estimators, developing a conceptual construction estimate is more labor-intensive than producing a final one. You could spend days or weeks working on it, yet have very low confidence in the numbers you present. If your conceptual estimates are: ? Too time-consuming to produce.. ? Based more on guesswork than actual data... ? Not helping you win more projects… You’re making things harder than they need to be. Claim your FREE eBook to learn how you can produce fast and accurate conceptual estimates.
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Trimble
Published By: Veeam '18     Published Date: May 01, 2019
This 5-minute, easy-to-read document explains why organizations need to protect Office 365 data. This report will teach you: • The big misunderstanding between Microsoft's responsibility and the IT organizations • 6 reasons why backing up Office 365 is critical • Who is in control of Office 365 data
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Veeam '18
Published By: Veeam '18     Published Date: May 01, 2019
This 5-minute, easy-to-read document explains why organizations need to protect Office 365 data. This report will teach you: • The big misunderstanding between Microsoft's responsibility and the IT organizations • 6 reasons why backing up Office 365 is critical • Who is in control of Office 365 data
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Veeam '18
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
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