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Published By: Chatsworth     Published Date: May 10, 2016
The modern data center has changed. There are new demands around cloud computing, big data and infrastructure efficiency. This change in the data center is being driven by more users, more data and a lot more reliance on the data center itself. With private cloud technologies and the rapid growth in data leading the way within many technological categories (the Internet of Things), working with the right data center optimization technologies has never been more important. In this white paper, we explore new concepts around data center demand, where energy efficiency and cooling optimization fit in and modern best practices around your data center.
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chatsworth, data center optimization
    
Chatsworth
Published By: IO     Published Date: Dec 31, 2015
The case for a re-envisioned data center is being made every day, and at an increasingly urgent pace. Growing technology demands, transforming global economics, corporate efficiency initiatives, and required business agility are among the drivers making change not merely a strategy, but a prerequisite for survival.
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IO
Published By: FORTRUST     Published Date: Aug 14, 2015
As one of the fastest growing industries, both economically and in their energy consumption, data centers have a tremendous opportunity and unique responsibility to take greater control of their use of resources inside their facilities. A few data centers, like FORTRUST, have been and continue to focus on minimizing their environmental impact by maximizing their efficient use of power and going green wherever possible. FORTRUST’s customers have peace of mind knowing that their data center is constantly looking for new, greener, more effective technologies to keep our business moving forward
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FORTRUST
Published By: RagingWire Data Centers     Published Date: Oct 09, 2015
Today’s modern IT infrastructure is demanding more out of its resources, expansion strategies, delivery methods and disaster recovery methodologies. To help meet these new growing demands, many organizations are turning to colocation providers to help service their data center needs. But what makes up a good data center decision? Is it just the location? What about the bandwidth coming into the site? What about green technologies and the adoption of new unified technologies? The reality here is that there are several key consideration points which need to be made when choosing the right data center colocation solution. Now with cloud computing and a truly distributed, data on-demand, environment, making the right choice has become more important than ever.
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RagingWire Data Centers
Published By: CommScope     Published Date: Apr 15, 2016
Multimode fiber (MMF) cabling is the workhorse media of local area network (LAN) backbones and data centers because it offers the lowest cost means of transporting high data rates for distances aligned with the needs of these environments. MMF has evolved from being optimized for multi-megabit per second transmission using light emitting diode (LED) light sources to being specialized to support multi-gigabit transmission using 850 nm vertical cavity surface emitting laser (VCSEL) sources. Channel capacity has been multiplied through the use of parallel transmission over multiple strands of fiber. These advances have increased multimode supported data rates by an astounding factor of 40,000 — from 10 Mb/s in the late 1980s to 100 Gb/s in 2010, with 400 Gb/s in development in 2015. Today, these extraordinary rates are created from collections of 25 Gb/s lanes carried on either four or sixteen strands of fiber in each direction
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CommScope
Published By: CyrusOne     Published Date: Jul 06, 2016
Data centers help state and federal agencies reduce costs and improve operations. Every day, government agencies struggle to meet critical cost controls with lower operational expenses while fulfilling the Federal Data Center Consolidation Initiative’s (FDCCI) goal. All too often they are finding themselves constrained by their legacy in-house data centers and connectivity solutions that fail to deliver exceptional data center reliability and uptime.
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CyrusOne
Published By: CyrusOne     Published Date: Jul 06, 2016
CyrusOne’s quick-delivery data center product provides a solution for cloud technology, social media and enterprise companies that have trouble building or obtaining data center capacity fast enough to support their information technology (IT) infrastructure. In trying to keep pace with overwhelming business growth, these companies often find it hard to predict their future capacity needs. A delay in obtaining data center space can also delay or stop a company’s revenue-generating initiatives, and have significant negative impact on the bottom line.
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CyrusOne
Published By: QTS Realty Trust, Inc.     Published Date: Jul 19, 2016
pyright © 2016, Data Center Frontier 3 SPECIAL REPORT Chicago Data Center Market Market Overview & Analysis The Windy City is a major hub for Internet and financial infrastructure, with active communities of data center users and service providers. Chicago is America’s third-largest city, and an active business market with nearly 40 Fortune 500 companies headquartered in the metro area. Chicago is distinctive in that it sees demand for data center space from a wide range of industries. It is home to major trading exchanges for stocks, commodities and options, making the city a hotbed of activity for the financial services industry. The region has also become a favored location for hosting, colocation and cloud computing companies. Chicago sees strong demand from the enterprise sector as well, both for primary data centers and as backup/disaster recovery facilities.
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QTS Realty Trust, Inc.
Published By: Intel     Published Date: Dec 31, 2015
A recent survey of 200 data center managers across the US and UK reveals that a large proportion of centers take a manual approach to planning and forecasting. Despite its limitations, MS Excel emerges as a popular tool and nearly one in ten resort to walking around a data center with a tape measure. Only just over half are able to benefit from using Data Center Infrastructure Management (DCIM) tools. The manual approach is not limited to smaller data centers by any means; the proportion was found to remain the same even amongst the larger data centers (with above 1,500 servers). When asked why manual methods were employed, 46% said it was because they felt that the alternatives would be too expensive. A further 35% feared they lacked the resources to implement a more automated approach. Whilst both these factors may seem reasonable enough at first sight, both might actually represent false economies in the longer run.
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Intel
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: Dell APAC     Published Date: May 30, 2019
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud disaster recovery offers new options for these organizations—they can optimize their data protection economics by integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with clear economic and operational benefits.
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud disaster recovery offers new options for these organizations—they can optimize their data protection economics by integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with clear economic and operational benefits.
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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
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud disaster recovery offers new options for these organizations—they can optimize their data protection economics by integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with clear economic and operational benefits.
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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: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
"Learn how to manage a software defined infrastructure SDI deployment and understand the benefit of composable versus traditional infrastructure. The white paper will also cover the definition of an SDI as well as what an IT organization should look for in an SDI solutions provider. Explore these questions in this white paper with a critical look at HPE’s software-defined and CI offering, HPE Synergy."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
"Learn how to manage a software defined infrastructure SDI deployment and understand the benefit of composable versus traditional infrastructure. The white paper will also cover the definition of an SDI as well as what an IT organization should look for in an SDI solutions provider. Explore these questions in this white paper with a critical look at HPE’s software-defined and CI offering, HPE Synergy."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: RMS     Published Date: Jul 25, 2019
Download this Infogrpahic Now!
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RMS
Published By: Akamai Technologies     Published Date: Jul 25, 2019
Heutzutage zählen die Identität der Kunden und die damit verbundenen persönlichen Daten zu den wichtigsten und wertvollsten Ressourcen jedes Unternehmens. Die Verwaltung dieser digitalen Identitäten (von der ersten Registrierung und Anmeldung bis zu den späteren Phasen der Kundenbeziehung) und die Verwertung der dazugehörigen Daten sind komplexe Aufgaben, die häufig als CIAM (Customer Identity and Access Management) bezeichnet werden. Wenn Unternehmen ein System zur Erfassung, Verwaltung und Nutzung von Daten zu digitalen Identitäten und Kunden implementieren, haben sie grundsätzlich zwei Möglichkeiten: Sie können ein eigenes Produkt entwickeln oder eine dedizierte Lösung von einem auf CIAM spezialisierten Anbieter kaufen. In diesem Whitepaper finden Sie eine detaillierte Analyse der CIAM-Implementierungsoptionen, darunter Folgendes: ? die wichtigsten Voraussetzungen für ein erfolgreiches CIAM-System für Unternehmen ? Vor- und Nachteile verschiedener Varianten der CIAM-Implementierun
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Akamai Technologies
Published By: Verint APAC     Published Date: Aug 01, 2019
For enterprise businesses, the conversations you are having with your customers and employees can help transform your future. At Verint Next IT, we deliver intelligent self-service solutions to help companies elevate the customer experience while driving operational efficiency. We understand that the challenge for many companies exploring AI and automation initiatives lies in knowing the right place to start and also how to grow. That’s why we offer AI Blueprint™. With AI Blueprint and our proven Alme® platform, we ensure that every enterprise succeeds with AI now and in the future. Download the eBook to learn: • What AI Blueprint is, what it does and why it matters • The benefits of Conversational AI and how it is transforming businesses everywhere • Five ways AI Blueprint and our Alme platform help companies thrive with intelligent virtual assistant (IVA) and chatbot solutions
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Verint APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years. IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute. Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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IBM APAC
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