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Results 1 - 25 of 4961Sort Results By: Published Date | Title | Company Name
Published By: Veeam '18     Published Date: Nov 18, 2019
"Veeam Backup & Replication hat sich als gute Wahl erwiesen. Die Lösung bietet modernste Backup- und Wiederherstellungsoptionen für unsere virtuellen Umgebungen und kann von allen Anwendern in unserer verteilten Architektur einfach genutzt werden. Andreas Stutzmiller Service Manager Site Infrastructure Services BSH Hausgeräte GmbH"
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Veeam '18
Published By: Veeam '18     Published Date: Nov 18, 2019
"Comment les entreprises peuvent-elles simplifier leur informatique pour renforcer leur agilité métier, optimiser leur retour sur investissement, limiter les risques et réaliser le potentiel impressionnant de la transformation numérique ? Tout commence en grande partie par une redéfinition de l’infrastructure IT. En fait, cela va même plus loin. Il s’agit de concevoir le datacenter de prochaine génération grâce à l’hyperconvergence et aux solutions d’hyper-disponibilité adaptées aux grandes entreprises. Dans la nouvelle synthèse de TechTarget destinée aux DSI intitulée « Accélérer la transformation numérique grâce aux solutions hyperconvergées », nous abordons la manière dont les décideurs IT et d’entreprise peuvent surmonter la complexité de l’informatique en restructurant leurs datacenters. Nous y examinons notamment : · les sources et implications de la complexité informatique ; · la stratégies de simplification IT ; · comment choisir la bonne approche po
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Veeam '18
Published By: TIBCO Software     Published Date: Nov 18, 2019
With an expansive infrastructure and numerous remote employees, Forest Oil needed superior infrastructure visibility to correctly predict well forecasts and capitalize on opportunities.
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TIBCO Software
Published By: Intel     Published Date: Nov 18, 2019
Across vertical sectors, organizations are looking to deploy cutting-edge smart vision solutions to process daunting amounts of vision data on-premise and run vision analytics, using existing cameras and infrastructure, to gather actionable insights. By doing so, organizations hope to address challenges in security, safety, and customer experience.
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Intel
Published By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
Attackers are pivoting through your infrastructure. What if you could pivot through theirs?
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
Traditional threat intelligence is reactive, basing security on information gathered only after an attack is successfully carried out. With threats increasing in sophistication and speed, you need intelligence that can learn from internet activity patterns, automatically identify attacker infrastructure being staged for the next threat, and block those threats before they have the chance to attack your organization. Download this white paper to learn how a predictive intelligence can aid in the fight against cyberattacks.
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Cisco Umbrella EMEA
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 2020¹. 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
Evaluating an existing HPC platform for efficient AI-driven workloads The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
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Intel
Published By: Schneider Electric     Published Date: Nov 13, 2019
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you: Overcome the worldwide shortage of experienced data center professionals Understand how out-tasking data center operations can benefit you & your clients Identify key characteristics of a strong data center operations partner
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data center,  business growth,  schneider electric
    
Schneider Electric
Published By: Intel     Published Date: Nov 13, 2019
Intel® Select Solutions for BigDL on Apache Spark* accelerates and simplifies deep learning development and deployment on an optimized, verified infrastructure based on Apache Spark*. Intel® Select Solutions for BigDL on Apache Spark* combine Intel® Xeon® Gold processors, Intel® SSDs, and Intel® Ethernet Network Adapters to empower enterprises to quickly harness a reliable, comprehensive solution that delivers excellent total cost of ownership (TCO) and accelerated time to market.
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Intel
Published By: Intel     Published Date: Nov 13, 2019
A modern network typically extends from the core data center out to the edge and across multiple public, private, and hybrid clouds. This reality is changing how networks are architected, deployed, and managed. Modern, future-ready networks must bring the scale, reliability, and efficiency associated with the cloud into the enterprise network. This can be done through server-based network virtualization and orchestrated virtual network functions (VNFs) that allow network infrastructures to deliver innovative services with efficiency and ease
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Intel
Published By: Hitachi EMEA     Published Date: Nov 11, 2019
The cloud journey today is well past the initial adoption phase. The question for most organizations is not ‘if cloud’ but ‘what’ and ‘when’; and ensuring that the strategy it embarks on achieves its business goals. This strategy is aiding organizations in transforming their operations and making them more digital and agile. Replacing your IT infrastructure with a cloud first approach, or even integrating both approaches, can be a daunting task.This white paper discusses the key factors to consider when migrating to the cloud.
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Hitachi EMEA
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: Menlo Security     Published Date: Nov 11, 2019
"Secure Cloud Transformation: Adopt SaaS applications and Manage Large Increases in Traffic Volumes without Sacrificing Security Traditional cybersecurity solutions continue to use outdated and ineffective detect-and-respond strategies—a risky security approach for organizations moving critical business systems to the cloud. Menlo Security sees enterprises transforming their infrastructure driven by the adoption of SaaS. The adoption of SaaS is happening faster than people anticipated in the average enterprise. Secure cloud transformation is about how you can take control of this sea change and undertake the transformation on your terms. Read “Secure Cloud Transformation” to Learn: - Why security has moved to the cloud yet has failed to adapt to the changing cloud paradigm - How a cloud security platform powered by isolation fundamentally changes the way organizations protect users - The top four requirements of a cloud-based security platform It’s clear that security isn’t keeping
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Menlo Security
Published By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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SAS
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
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: 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: Automation Anywhere     Published Date: Nov 06, 2019
EY is the knowledge partner in this study In this whitepaper, Ernst & Young and Automation Anywhere discuss how to estimate the total cost of ownership (TCO) for an intelligent automation solution, from licencing and infrastructure, consultancy, development through to training. Including; different scaling strategies and the suggested levers to optimise TCO.
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cost of ownership, scaling strategies
    
Automation Anywhere
Published By: Box     Published Date: Nov 06, 2019
Unstructured business content contains critical information that can be tough to extract, manage, and analyze. Artificial intelligence capabilities can automate many manual processes and help unlock this valuable resource. To find out more download this whitepaper today.
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Box
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
Published By: Schneider Electric     Published Date: Nov 04, 2019
What is digital transformation? Why is everyone talking about it? And what can it do for me? Across every level of your company, people are asking themselves these questions. The Global Digital Transformation Benefits Report provides answers. It’s based on data points from over 230 cases of digital transformation from around the world, in data centers, buildings, infrastructure, and industry. The results paint a compelling picture of what digital transformation can do for businesses of all types. A selection of key findings: - On average, digital transformation helped our customers save 35% on engineering costs. - Our customers cut an average of 28% off their energy costs. - Digital transformation efforts drove productivity gains by an average of 24%.
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digital transformation, digital transformation in business, digital transformation in healthcare, iot, data centers, buildings, infrastructure, industry
    
Schneider Electric
Published By: AWS     Published Date: Nov 04, 2019
As organizations expand their cloud footprints, they need to reevaluate and consider who has access to their infrastructure at any given time. This can often be a large undertaking and lead to complex, sprawling network security interfaces across applications, workloads, and containers. Aporeto on Amazon Web Services (AWS) enables security administrators to unify their security management and visibility to create consistent policies across all their instances and containerized environments. Join the upcoming webinar to learn how Informatica leveraged Aporeto to create secure, keyless access for all their users.
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AWS
Published By: Google     Published Date: Nov 04, 2019
"ESG compared Google BigQuery’s serverless Enterprise data warehouses (EDW) solution with some alternative EDW services offered by AWS, Microsoft, and Snowflake. While all of these offerings provide significant cost savings, reduction in complexity, and increased business agility when compared with an on-premises EDW solution, there are some significant differences between the offerings. Read The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions to learn more. "
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database servers, cloud database, application infrastructure, cloud database, data integration
    
Google
Published By: Google     Published Date: Nov 04, 2019
"Gartner evaluated the cloud providers offering infrastructure as a service. Google is proud that Gartner identifies Google as one of only three Leaders in this market. Get your complimentary copy of the report to learn: Where the market stands and where it's going How the vendors scored on the various criteria Which platform solutions are best for your business Why Google was named a Leader in the Infrastructure-as-a-Service market"
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database servers, cloud database, application infrastructure, cloud database, data integration
    
Google
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