predictive it

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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: KPMG     Published Date: Dec 05, 2018
Some HR leaders are confidently harnessing the disruptive technologies that will transform the HR function. How ready are you for the digital workplace? Read this report – which includes insights from HR leaders in some of the world’s most successful organisations – to understand: the anticipated impact of artificial intelligence and disruptive technologies the growing importance of the employee experience the potential of predictive analytics the changes required in workplace culture and capabilities for successful transformation.
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KPMG
Published By: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: RMS     Published Date: Jul 25, 2019
The insurance industry boasts some of the most sophisticated modeling capabilities in the world. And yet the average property underwriter does not have access to the kind of predictive tools that carriers use at a portfolio level to manage risk aggregation, streamline reinsurance buying and optimize capitalization.
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RMS
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
Published By: Teradata     Published Date: Jul 07, 2015
As cyber security challenges continue to grow, new threats are expanding exponentially and with greater sophistication—rendering conventional cyber security defense tactics insufficient. Today’s cyber threats require predictive, multifaceted strategies for analyzing and gaining powerful insights into solutions for mitigating, and putting an end to, the havoc they wreak.
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Teradata
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
Published By: Oracle     Published Date: Aug 08, 2013
With Oracle CRM predictive analytics, identify your best cross-sell and up-sell opportunities so you can focus on higher probability deals.
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oracle, crm, opportunity landscape, predictive analytics, sales, knowledge management, data management
    
Oracle
Published By: Oracle     Published Date: Aug 15, 2013
With Oracle CRM predictive analytics, identify your best cross-sell and up-sell opportunities so you can focus on higher probability deals.
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oracle, crm, opportunity landscape, predictive analytics, sales, enterprise applications
    
Oracle
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable
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: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing, customer relationship management, enterprise software, sales & marketing software
    
Akamai
Published By: CA Technologies     Published Date: Aug 21, 2017
CA Technologies recently released version 8.5.1 of its flagship United Infrastructure Management (UIM) platform. The company continues its efforts to make it a powerful contender in the highly competitive and crowded hybrid IT management market. The latest enhancements, and those coming soon in the next release, should help strengthen its position as an intelligent and predictive toolset that enables administrators to quickly – and in some cases proactively – react and remediate performance and capacity anomalies.
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CA Technologies
Published By: CA Technologies     Published Date: Aug 24, 2017
CA Technologies recently released version 8.5.1 of its flagship United Infrastructure Management (UIM) platform. The company continues its efforts to make it a powerful contender in the highly competitive and crowded hybrid IT management market. The latest enhancements, and those coming soon in the next release, should help strengthen its position as an intelligent and predictive toolset that enables administrators to quickly – and in some cases proactively – react and remediate performance and capacity anomalies.
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CA Technologies
Published By: IBM     Published Date: Oct 20, 2015
This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue.
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ibm, customer, predictive, intelligence, revenue, networking, software development, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
See how Predictive Customer Intelligence can help identify opportunities to generate revenue, build loyalty, increase wallet share, and improve service.
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ibm, predictive, customer, intelligence, wallet share, revenue, software development, it management, knowledge management
    
IBM
Published By: IBM     Published Date: Apr 05, 2016
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
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ibm, business insight, business action, ibm decision optimization, ibm predictive analytics, knowledge management, enterprise applications, data management
    
IBM
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