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Published By: Silver Peak     Published Date: Dec 31, 9999
Offsite data replication is key to ensuring ongoing business operations, but it can be complex and costly, especially when performed over long distances. Join this discussion to discover how you can apply fast, cost effective and reliable remote replication that can: • Meet Recovery Point Objectives (RPO) by reducing remote replication times by up to 20X • Reduce bandwidth costs and extend replication distances • Lower storage costs while increasing storage flexibility • Leverage emerging cloud and virtualization technologies for better offsite disaster recovery Hear from the experts and users at Dell Compellent, Silver Peak and AlaskaUSA discuss essential data replication strategies and technologies.
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offsite data, remote replication, reliable, storage flexibility, cloud, virtualization, technology, offsite disaster recovery
    
Silver Peak
Published By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020ą. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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Intel
Published By: Intel     Published Date: Nov 14, 2019
You can migrate live VMs between Intel processor-based servers but migration in a mixed CPU environment requires downtime and administrative hassle A study commissioned by Intel Corp. One of the greatest advantages of adopting a adopting a public, private, or hybrid cloud environment is being able to easily migrate the virtual machines that run your critical business applications—within the data center, across data centers, and between clouds. Routine hardware maintenance, data center expansion, server hardware upgrades, VM consolidation, and other events all require your IT staff to migrate VMs. For years, one powerful tool in your arsenal has been VMware vSphere® vMotion®, which can live migrate VMs from one host to another with zero downtime, provided the servers share the same underlying architecture. The EVC (Enhanced vMotion Compatibility) feature of vMotion makes it possible to live migrate virtual machines even between different generations of CPUs within a given architecture.
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Intel
Published By: Workday Netherlands     Published Date: Nov 13, 2019
FSN Publishing heeft meer dan 660 finance executives gevraagd naar hun aanpak van business partnerships. De resultaten zijn fascinerend. Lees dit rapport voor inzichten in: • De uitdagingen en voordelen van partnerships • Hoe data samenwerking beďnvloedt en versterkt • Hoe organisaties succes meten
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workday, workforce technology, digital strategy
    
Workday Netherlands
Published By: Data Center Frontier LLC     Published Date: Nov 11, 2019
This business and technical White Paper is an exploration of the data centre fiber optic networking infrastructure requirements needed to meet current and future demands for data volumes and data rates. It covers how 200Gigabit (Gbps) and 400Gbps Ethernet (GE) fiber optic technologies evolved and how they should advance to 800GE and 1.6TE. It also explores what the right technologies are for sustainable investment strategies to future proof data centre networks.
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Data Center Frontier LLC
Published By: Data Center Frontier LLC     Published Date: Nov 11, 2019
Data center cable management is often considered a problem reserved for network engineering teams, but bad cable design can wreak havoc across your entire enterprise. “Spaghetti” cabinets and other symptoms of ill-considered cabling make it more difficult to complete equipment installations, troubleshooting, and maintenance. They can create an unsafe operating environment for your equipment by restricting airflow to racks, trapping dust, keeping cables warm, and making it impossible to understand at a glance how your devices are connected. Bad cable management practices can even hinder modern data center environments from adapting to new technologies like IoT and big data, provisioning IT resources on demand to support business innovation, and utilizing data center capacity to promote scalability, efficiency, and cost effectiveness.
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Data Center Frontier LLC
Published By: Menlo Security     Published Date: Nov 11, 2019
"Digital Transformation Is Changing How Enterprises Provide Secure Web Access to Users. According to Gartner, “Digital business and edge computing have inverted access requirements, with more users, devices, applications, services, and data located outside of an enterprise than inside.” A New Approach to Enterprise Security in the Cloud Is Needed. Gartner recommends, “Complexity, latency and the need to decrypt and inspect encrypted traffic once will increase demand for consolidation of networking and security-as-a-service capabilities into a cloud-delivered secure access service edge (SASE, pronounced “sassy”).” This new approach requires an Internet isolation solution that: - Provides 100 percent malware-free email and web browsing - Preserves the native email and web browsing experience - Gives users ubiquitous yet secure access wherever they work Menlo already offers the solution that delivers on Gartner’s vision of network security in the cloud. Find out more by downloading t
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Menlo Security
Published By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
In today’s rapidly changing technology landscape, it’s critical for organizations to invest in systems that can keep up with changing needs. Cloud technology is rising to the occasion because it provides a cost-effective way to deploy flexible analytics solutions--with little capital investment. If your organization is considering a move to the cloud, be sure to read this whitepaper for an in-depth analysis of how it can help accelerate your business. The paper covers key considerations around: Time to value: deploying applications faster than ever Elasticity: scaling data and users with ease Flexibility: rapidly adapt to changing requirements Security: adhere to key compliances and certifications and secure data at every level Total cost of ownership: realize significant savings from migrating to the cloud
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark—meaning more than 70% of people at most organizations are going without access to the critical information needed to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligenceTM helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether it’s a salesperson looking to close a
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
Tags : 
    
MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation. Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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MicroStrategy
Published By: LeanData     Published Date: Nov 07, 2019
There has been an exciting revolution that is changing the landscape for businesses far and wide. The advancement of marketing and sales technology has enabled businesses to work at the speed of life. But with the rapidly moving technology space, organizations are finding that they’ve built such robust tech stacks that it’s time to re-evaluate just how well their technology is working for them—as opposed to against. With many internal organizations across marketing, sales, and customer success reporting their team’s tech stack consists of 30 or more tools, we are realizing there is a wealth of untapped Executive Summary data at our fingertips. Many have overlooked the role people, process, and data play in maximizing the returns technology can yield. Revenue Operations is a way to bridge gaps between siloed organizations. It is about marketing, sales, customer success, and partner ops teams working better together. This guide is dedicated to exploring the emergence of Revenue Ops, its
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LeanData
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: MicroStrategy     Published Date: Nov 06, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation (see figure 1). Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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MicroStrategy
Published By: Oracle     Published Date: Nov 06, 2019
Explore how to bring together departmental and third party data for more profitable insights. As an operations leader, you can generate more intelligent reports across your business. Become an insight leader by unifying your data. Watch now.
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Oracle
Published By: Rackspace     Published Date: Nov 06, 2019
Australian businesses place the highest importance on improving productivity and business resilience. But there’s a conflict – if businesses allow employees and third parties to access data off-site, they’ve opened themselves up to one of the biggest security threats there are. So, is it a case of innovation or cybersecurity, or both? Here’s a tip: Growth, innovation and security should all be part of one conversation. Rackspace will help you uncover more about the contradiction within Australian businesses and most importantly, how to solve it.
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Rackspace
Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: Amazon Web Services EMEA     Published Date: Nov 05, 2019
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way. This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
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Amazon Web Services EMEA
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