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The Ultimate Guide to Windows Server on Azure

Published By: Microsoft     Published Date: Jul 20, 2018
You’re running a lot of your business on Windows Server today— mission-critical apps, Active Directory, Domain Name Servers, not to mention virtual machines and storage. For more than 20 years, in fact, Windows Server has been the operating system of choice for enterprise workloads. This guide shows you how you can use your Windows Server expertise to give your organization a boost in the age of cloud computing, addressing these topics and others: • Why move to the cloud? • What are some ways to use Azure for Windows Server workloads? • What about security? • Who else is doing this? • How do I get started?
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Microsoft

Can Machine Learning Prevent Application Downtime?

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

ESG white paper: Machine Learning Delivers Better Insights

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • 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

Nimble Labs Report: Can machine learning prevent application downtime?

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 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

ESG white paper: Machine Learning Delivers Better Insights

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • 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

Machine Learning Boosts Application Uptime

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Learn how to harness the power of machine learning to boost productivity.
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Hewlett Packard Enterprise

Nimble Labs Report: Can machine learning prevent application downtime?

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 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

How to protect virtual machines from downtime and data loss

Published By: Carbonite     Published Date: Jul 18, 2018
Businesses virtualize to consolidate resources, reduce costs and increase workforce mobility. But failing to protect VMs with purpose-built protection could erase some of those gains. Here are five essential requirements IT managers should look for when deploying data protection for virtual environments.
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Carbonite

Accelerate Workload Performance: A Blueprint to Storage Modernization

Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Organizations are running their business on exponentially more data, created by more users, from different devices, and through different IT services and digital processes. While some data growth is fueled by new applications, it also arrives increasingly from non-traditional IT sources, including digital media, machines, and edge devices. Edge IoT devices are generating a massive amount of data that must be managed, monitored, stored, and analyzed. Deciding where to perform each of these functions is critical to supporting new data-driven global business services and processes. This blueprint from HPE Pointnext, the Services division of HPE, is based on real-world experiences from many customers across a range of industries on how to leverage flash storage modernization.
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Hewlett Packard Enterprise

Are You Getting The Most Out of Your Pharmacy Benefits Data?

Published By: Artemis Health     Published Date: Jul 10, 2018
How the right information can help you manage your pharmacy costs and lead you to savings.
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Artemis Health

Data Integration Reaches Inflection Point: Survey Results

Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM

Data Integration Reaches Inflection Point: Survey Results

Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM

DataStax for eCommerce

Published By: Datastax     Published Date: Jul 02, 2018
When you think enterprise ecommerce in the Right-Now Economy, you need to know that it all starts with a distributed cloud database built for hybrid cloud. From Safeway to eBay to Macy’s to Sony, leading companies across industries use DataStax to power their ecommerce initiatives. Read this ebook for a look into exactly how they use us and the results they’ve achieved.
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Datastax

Apply Artificial Intelligence to Information Security Problems

Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
BlackBerry Cylance

Ransomware Prevention Is Possible: Fighting Today’s Extortive Threats

Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
While advanced persistent threats and malware still plague some victims, it is ransomware that is still gaining real traction in today’s cybersecurity landscape. The EternalBlue flaw that took over the news in May 2017 rose to popularity as a result of its inclusion in the data leaked by The Shadow Brokers. Utilized in multiple attacks alongside the also-released DoublePulsar exploit, including the installation of cryptocurrency miner Adylkuzz, the exploits are just the tip of the cyberwarfare tools The Shadow Brokers are claiming to have in their arsenal. The latest EternalBlue and DoublePulsar based attacks, delivering the WannaCry Ransomware, have so far been hugely damaging to healthcare organizations while also impacting over 200,000 endpoints in 150 countries. WannaCry-WanaCryptor 2.0 was coupled with the EternalBlue exploit, allowing it to automatically propagate itself to vulnerable machines across the Internet. While not technically advanced, the use of EternalBlue and DoubleP
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ransomware, threats, cyber, security, data
    
BlackBerry Cylance

Why Cylance Beats the Competition When It Comes to Endpoint Protection

Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance

The Power of a Distributed Cloud Database

Published By: Datastax     Published Date: Jun 26, 2018
When you think enterprise ecommerce in the Right-Now Economy, you need to know that it all starts with a distributed cloud database built for hybrid cloud. From Safeway to eBay to Macy’s to Sony, leading companies across industries use DataStax to power their ecommerce initiatives. Read this ebook for a look into exactly how they use us and the results they’ve achieved.
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Datastax

5 considerations in choosing a collaboration platform in the digital age

Published By: Box     Published Date: Jun 22, 2018
• Facing a myriad of challenges from digital transformation, business today are making big bets on the best collaboration tools they need on hand to meet those challenges. From employee buy-in, to machine-learning capabilities, to security, it's important to select a service with the right capabilities to further your business goals. The challenge, however, is that with so many services to choose from it can be difficult to figure out which one is the right fit for your business. • This eBook, 5 Considerations in Choosing a Collaboration Platform in the Digital Age, will walk you through the ins and outs of what to keep in mind as you choose the best collaboration platform for you.
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Box

Optimized Global Production for Manufacturers

Published By: Dassault Systèmes     Published Date: Jun 19, 2018
A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source. Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
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Dassault Systèmes

Three Questions You Need to Ask When Optimizing NC Machine Shop Production

Published By: Dassault Systèmes     Published Date: Jun 19, 2018
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices: • Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices? • Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor? • Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets? Discover how to optimize your NC Machine Shop Production, minim
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Dassault Systèmes

Mastering Global Manufacturing with Seamless Digital Continuity

Published By: Dassault Systèmes     Published Date: Jun 19, 2018
Companies that manufacture industrial equipment find themselves in a unique place among manufacturers: • Their products can range from small components to mammoth machines for mines or mills. • They rarely order large production runs and may be called on to create a process that results in an order of one. • Their markets impose challenging constraints. Customers want more choices, more options, more extras, and more features. And they want the order to be fulfilled sooner. The competitive environment is forcing model cycles to shrink, pressuring manufacturers to accelerate processes that are unable to keep pace. Dassault Systèmes DELMIA has assembled an industry-specific set of roles for industrial equipment manufacturers that brings these challenges under control.
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Dassault Systèmes

Tres Preguntas que Debe Responder para Garantizar que está Preparado para GDPR

Published By: Symantec     Published Date: Jun 13, 2018
El Reglamento General de Protección de Datos (GDPR) entra en vigor el 25 de mayo de 2018. Si necesita procesar datos personales de la Unión Europea (UE), posiblemente el GDPR aplica para usted, a pesar de no estar en la Unión Europea. Esto se debe a que el reglamento realmente es global en su alcance y se aplica a cualquier organización que procesa datos personales de la UE, más allá de la ubicación de las compañías o del procesamiento de los datos. En su esencia, la legislación del GDPR está centrada en garantizar que se respete la privacidad como un derecho fundamental y que los datos personales sean guardados privada y seguramente. Elizabeth Denham, del Gabinete del Comisario de Información de la UE (ICO - Information Commissioner Office), dice: “Esta ley no es sobre multas. Se trata de poner en primer lugar al consumidor y al ciudadano” y “La emisión de multas siempre fue y seguirá siendo, el último recurso”. Sin embargo, es importante observar que los costos por incumplir el regla
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Symantec

Best-of-Breed Enterprise Mac Management

Published By: Jamf     Published Date: Jun 07, 2018
A decade ago, Mac was an uncommon sight in many businesses and routinely ignored by corporate IT — but times have changed. Today, employee-choice programs are driving Mac growth in enterprises with 72 percent of employees choosing Mac over PC when given the chance. Now, the need to properly deploy, manage and secure Apple is at an all-time high. This white paper examines how purpose-built management solutions are essential to a successful Apple strategy, and walks you through: • The current state of enterprise management solutions • Features required for best-of-breed Apple management • How Jamf and Microsoft are delivering co-management to the enterprise
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Jamf

Becoming a Data-Driven Organization: The what, why and how

Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS

Ovum Decision Matrix: Selecting a Privileged Identity Management Solution, 2015–2016 Publication Dat

Published By: CA Technologies     Published Date: Jun 01, 2018
Within any organization, the most dangerous users are those with privileged access to the company’s most valuable and sensitive data assets. This includes systems administrators, business managers, partners, suppliers, and service providers, and also takes into account the automated interactions between business machines, systems, and applications. Privileged access has always been a high-risk issue, but for too long, organizations have not understood or have chosen to ignore the risks, preferring instead to rely on the integrity of the individuals and systems involved. A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solution
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CA Technologies
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