enterprise learning

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Published By: Intel     Published Date: Jun 12, 2020
The coronavirus pandemic has changed the way businesses around the globe function. Enterprises now face major challenges to keep their operations running, while also offer a safe environment for their employees and customers. At AllGoVision, we are committed to developing personalized IoT-based solutions that can address these challenges effectively and help businesses meet public health requirements. Our new video analytics solution, powered by Intel® technology, utilizes sophisticated deep learning tools that can help enterprises enforce social distancing, recognize faces and masks, and calculate crowd density in a specified video stream, all in real-time. Explore how AllGoVision’s Intel-based intelligent solution facilitates hygiene and safety monitoring from office spaces to airports in the post COVID-19 era.
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Intel
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
The performance of enterprise applications will have a direct impact on business activities and outcomes. The quality of the delivery of applications will depend on how smoothly the underlying data infrastructure operates. ? Optimal application performance and delivery is difficult to achieve in complex environments. ? Many IT infrastructure and operations teams are stretched to the breaking point. ? Predictive analytics and machine learning can be applied to great effect
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: Cisco     Published Date: Jul 08, 2016
Cisco's 2015 Mobility Landscape Survey provides new insights into how mobility is being approached by mid-market and enterprise organizations globally Specific objectives include: • Discovering insights into current strategy and future plans • Identifying priority mobility initiatives and top challenges • Learning how IT and Business leaders’ views, priorities and objectives align and differ • Building a global and local view from over 1400 respondents across 14 countries in every geography
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Dell Bedrock     Published Date: Feb 17, 2020
To run a digital business that is Intelligent and agile, your enterprise requires an IT landscape capable of connecting the front and back offices. In other words, the ability to engage customers depends on the oftenunseen capabilities in the data center. To remain on a path to digital transformation and capitalize on innovations in AI and machine learning (ML), companies are migrating their enterprise resource planning (ERP) and business warehouse (BW) workloads to SAP HANA and SAP S/4HANA. For enterprises running legacy SAP solutions, with an end of service life after 2025, the timetable for migration is rapidly approaching given that the average implementation is several years. IT decision makers (ITDMs) begin this journey by articulating the business case for why they should modernize their IT landscape for SAP and what factors they should consider along the way.
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Dell Bedrock
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Fueled by data, infrastructure advances, and the ubiquity of machine learning and deep learning (ML/DL) toolkits, artificial Intelligence (AI) solutions are fast becoming a mainstay in the enterprise data center. This paper describes how deep learning and artificial intelligence in the enterprise bring new workflows and challenges to data center architecture. It also addresses how solutions can be constructed from infrastructure architectures specifically designed to bring scale-out compute and storage closer together.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Executive Summary: To deliver new value and enable innovation, organizations are striving to build intelligent enterprises that run on insight from data delivered in real time. The transition can be challenging especially in this digital era. Enterprises are accumulating increasing volumes of data, yet they struggle to identify what data is relevant and how to manage the data they are collecting. Success hinges on the way an enterprise uses data to transform it into data capital and the way the organization invests in data technology. Many organizations utilize SAP enterprise software to manage their data capital; however, as of 2025, SAP software will run on only one database, SAP HANA. This deadline and the desire to leverage SAP’s next-generation applications, including artificial intelligence and machine learning, are driving enterprises to migrate to SAP HANA and SAP S/4HANA. Dell EMC and Intel commissioned Forrester Consulting to conduct a market survey and a Total Economic Im
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Dell EMC Storage
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: Hewlett Packard Enterprise     Published Date: Jul 08, 2020
Challenging times call for dynamic solutions. Here are the ones you need to know. Want to know what solutions and technologies will shape the networks of our near-future? Want to know what trends are most relevant to you and your business? Download the latest IDC report, Five Key Enterprise Networking Trends to Watch in 2020, to get key takeaways and recommended actions for this year and beyond. Learn why the time is now for The Cloud, SD-WAN, machine-learning-enhanced automation, and flexible consumption. Discover how they can help you drive stability and transformation in your organization.
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Hewlett Packard Enterprise
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet
Published By: DELL IS Cloud     Published Date: Apr 07, 2020
To run a digital business that is Intelligent and agile, your enterprise requires an IT landscape capable of connecting the front and back offices. In other words, the ability to engage customers depends on the oftenunseen capabilities in the data center. To remain on a path to digital transformation and capitalize on innovations in AI and machine learning (ML), companies are migrating their enterprise resource planning (ERP) and business warehouse (BW) workloads to SAP HANA and SAP S/4HANA. For enterprises running legacy SAP solutions, with an end of service life after 2025, the timetable for migration is rapidly approaching given that the average implementation is several years. IT decision makers (ITDMs) begin this journey by articulating the business case for why they should modernize their IT landscape for SAP and what factors they should consider along the way. Learn more about Dell Technologies solutions powered by Intel®
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DELL IS Cloud
Published By: DELL IS Cloud     Published Date: Apr 24, 2020
Fueled by data, infrastructure advances, and the ubiquity of machine learning and deep learning (ML/DL) toolkits, artificial Intelligence (AI) solutions are fast becoming a mainstay in the enterprise data center. This paper describes how deep learning and artificial intelligence in the enterprise bring new workflows and challenges to data center architecture. It also addresses how solutions can be constructed from infrastructure architectures specifically designed to bring scale-out compute and storage closer together. Learn more about Dell Technologies solutions powered by Intel®.
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DELL IS Cloud
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: VMware     Published Date: Mar 16, 2020
The CIO's world is changing fast. In five years, chief information officers (CIOs) will have new responsibilities in the C-suite and across the enterprise, extending their strategic influence over product development, marketing, human resources, the supply chain and more. They will be challenged to discover new ways of generating revenue and to introduce artificial intelligence and machine learning capabilities that create unparalleled efficiencies. Such are some of the findings of a global Forbes Insights survey, conducted in partnership with VMware, of more than 650 CIOs in North America, Europe and the Asia-Pacific region (including Japan). The surveyed CIOs are from broad range of industries, including financial services, healthcare, government, manufacturing, retail and telecommunications. They work for organizations with annual revenue of $1 billion or more; 16% were from firms with at least $10 billion in revenue. Based on the survey findings, this report examines six critical d
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VMware
Published By: Vmware     Published Date: Mar 17, 2020
The CIO's world is changing fast. In five years, chief information officers (CIOs) will have new responsibilities in the C-suite and across the enterprise, extending their strategic influence over product development, marketing, human resources, the supply chain and more. They will be challenged to discover new ways of generating revenue and to introduce artificial intelligence and machine learning capabilities that create unparalleled efficiencies. Such are some of the findings of a global Forbes Insights survey, conducted in partnership with VMware, of more than 650 CIOs in North America, Europe and the Asia-Pacific region (including Japan). The surveyed CIOs are from broad range of industries, including financial services, healthcare, government, manufacturing, retail and telecommunications. They work for organizations with annual revenue of $1 billion or more; 16% were from firms with at least $10 billion in revenue. Based on the survey findings, this report examines six critical d
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Vmware
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Unit4     Published Date: Apr 12, 2019
Looking to improve accuracy of enterprise budgeting and financial planning? Just 1% of firms can forecast costs at 90% accuracy 30 days out. This white paper by BPM Partners and sponsored by Unit4 shows how Artificial Intelligence (AI) makes a real impact on budgeting, planning, and analysis, and when complemented with deep machine learning, gives greater accuracy to data, budget rules and budget drivers. Download now and learn how AI can help auto-tune your FP&A.
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corporate performance management, cpm, corporate budgeting, forecasting, financial planning and analysis, artificial intelligence
    
Unit4
Published By: CA Technologies EMEA     Published Date: Sep 14, 2018
The misuse or takeover of privileged accounts constitutes the most common source of breaches today. CA Threat Analytics for PAM provides a continuous, intelligent monitoring capability that helps enterprises detect and stop hackers and malicious insiders before they cause damage. The software integrates a powerful set of user behavior analytics and machine learning algorithms with the trusted controls provided by CA Privileged Access Manager (CA PAM). The result is a solution that continuously analyzes the activity of individual users, accurately detects malicious and high-risk activities and automatically triggers mitigating controls to limit damage to the enterprise.
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CA Technologies EMEA
Published By: SAP EMEA Global     Published Date: Aug 23, 2019
Hear from IDC analyst Mickey North Rizza and an SAP's Neil Krefsky as they discuss what intelligent ERP is, how it will impact your business, and how to get started. We will cover how an intelligent ERP will help to to: Reduce complexity within your enterprise Speed up decision making and time to value Bring machine learning to the finance function
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SAP EMEA Global
Published By: IBM     Published Date: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, knowledge management, enterprise applications, data management, business technology
    
IBM
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