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Published By: Server Technology     Published Date: Jun 19, 2014
ScaleMatrix is a revolutionary new kind of data center. It offers clients premiere colocation services, public cloud, and private cloud services. Built from the ground up for the cloud – for high bandwidth applications — by data center owners and operators
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scale matrix, server technology cloud, ups, pdu, data center, energy, virtualization, cloud computing, infrastructure, design and facilities, power and cooling, green computing
    
Server Technology
Published By: iShares by BlackRock     Published Date: Jun 15, 2018
While the accumulated knowledge of a portfolio manager should not be undervalued, a move toward more systematic instrument selection could ultimately enhance fund returns. This material is provided for educational purposes only and is not intended to constitute investment advice or an investment recommendation within the meaning of federal, state, or local law. Investing involves risk, including possible loss of principal. This study was sponsored by BlackRock. BlackRock is not affiliated with Greenwich Associates, LLC, or any of their affiliates. iSHARES and BLACKROCK are registered trademarks of BlackRock, Inc., or its subsidiaries. All other marks are the property of their respective owners. Prepared by BlackRock Investments, LLC, member FINRA. BlackRock, Inc. is not affiliated with The Economist. 530180
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iShares by BlackRock
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"The Enterprise Strategy Group put HPE SimpliVity hyperconverged infrastructure through its paces in a series of hands-on performance and stress tests simulating real-world configurations and load conditions. Read this report to learn how an HPE SimpliVity infrastructure: Ran nine workloads simultaneously, with an average response time across all applications of 3.9ms Showed little to no performance impact as a virtual controller, drive, and node were systematically failed on a two-node cluster."
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Hewlett Packard Enterprise
Published By: Dome9     Published Date: Apr 25, 2018
The term “Cloud First” was initially popularized by Vivek Kundra, who formerly held the post of White House CIO and launched this strategy for U.S. federal government IT modernization at the Cloud Security Alliance Summit 2011. The underlying philosophy of the cloud-first strategy is that organizations must initially evaluate the suitability of cloud computing to address emergent business requirements before other alternatives are considered. This paper offers guidance to help organizations establish a systematic and repeatable process for implementing a cloud-first strategy. It offers a high-level framework for identifying the right stakeholders and engaging with them at the right time to reduce the risk, liabilities, and inefficiencies that organizations can experience as a result of adhoc cloud decisions. The goal of this guidance is to help ensure that any new cloud program is secure, compliant, efficient, and successfully implements the organization’s key business initiatives.
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Dome9
Published By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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industry, advantage, linguistic, grammatical, statistical analysis, content
    
IBM APAC
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
Social, Mobile, Analytics and Cloud (SMAC), have broad potential to provide huge business value, while simultaneously presenting potentially overwhelming challenges. The rapid technology changes supporting SMAC and the overall complexity involved demand a systematic approach to building out your SMAC capability.
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collaborative consulting, creating opportunities, driving disruption, social, mobile, analytics, cloud, infrastructure, elastic computing capacity, cloud computing, social network, mobile web, wireless data networks, drive change
    
Collaborative Consulting
Published By: Brightidea     Published Date: Feb 05, 2016
What’s in the eBook? We all know it is critical to innovate before competitors – and the race is on to do so! This ebook should help you do just that — harness innovation at your company and build a marquis innovation program. It can be much harder than anticipated so our systematic, programmatic approach described in this ebook will help. Please download our ebook and learn about: - Six steps to improve (and establish) enterprise innovation - Success stories from Fortune 500 companies - The future of innovation, innovation programs and how you can prepare for it
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Brightidea
Published By: Evariant     Published Date: Sep 07, 2016
Marketers face a unique challenge to allocate resources across a variety of tactics to target key audiences that need their product or service – with limited information on what combination of products or services will have the optimum impact, which target audience members are ideal fits, and what allocations will provide the best return on investment to the organization. Healthcare has its own myriad of challenges, including many local, regional, and national options for consumers, service line variations, and disparate demographics. The good news is that there is an emerging understanding of digital and multichannel marketing, and ample opportunity to define best practices, systematically calculate marketing effectiveness and return on marketing investment (ROMI), and use technology and data to create great business outcomes.
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evariant, multi-channel marketing, hospital, patient engagement, digital marketing
    
Evariant
Published By: Qualys     Published Date: Jul 20, 2012
Vulnerability Management (VM) means systematically finding and eliminating network vulnerabilities. Choosing a solution for VM is a critical step toward protecting your organization's network and data. Without proven, automated technology for precise detection and remediation, no network can withstand the daily onslaught of new vulnerabilities that threaten security. This checklist from Qualys provides a 12 point shortlist of considerations to determine what solutions will work best for your organization.
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technology, security, vulnerabilities, internet, virus, solutions, vulnerability management
    
Qualys
Published By: JBoss Developer     Published Date: Oct 21, 2016
This competitive review between Red Hat and TIBCO integration technologies has presented multiple differences between the products. A notable difference is that only Red Hat JBoss Fuse is a 100% open source product. Red Hat is committed to leveraging existing open source projects and using open standards whenever possible for both product implementation and integration communication. This includes Camel, the de-facto integration standard included with Red Hat JBoss Fuse. Red Hat’s open source commitment extends to Active MQ, the upstream messaging technology used with JBoss A-MQ and included with Red Hat JBoss Fuse. Another difference is that Red Hat JBoss Fuse clustering is based on the upstream Fabric8 community project and offers much more functionality than TIBCO clustering options.
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cloud, technology, competitive advantage, queuing protocol, open source
    
JBoss Developer
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: CA Technologies EMEA     Published Date: Oct 20, 2017
Sie müssen stets für das kontinuierliche Wachstum Ihres Unternehmens sorgen. Im Zuge der anhaltenden Dynamik der Application Economy setzen Sie zur Förderung dieses Wachstum vermutlich auf digitale Unternehmensinitiativen. Wie organisieren und verwalten Sie nun am besten ein APIProgramm, ohne Ihr geistiges Eigentum außerhalb des Unternehmens auf problematische Weise zu exponieren? Nachfolgend stellen wir eine Reihe von Early Adopters vor, die ihr Wachstum erfolgreich mit APIs befördert haben.
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api, application programming interface, psd2, open banking, json, github, secure gateway, microservices, api gateway, apim, api management, full api lifecycle, restful web services, rest, integration, api portal
    
CA Technologies EMEA
Published By: SAP     Published Date: Nov 22, 2017
Many energy and natural resource (ENR) companies still rely on static, error prone data sources. Using static data in assumptions that are made on actual production costs, operating capacity, and yields is no longer sufficient to compete successfully in today’s market, a situation made more problematic given that the ENR industry faces reduced market prices for products, increased costs for operations and an onslaught of new competitors.
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companies, operating capacity, sufficient, successfully, market, enr, industry
    
SAP
Published By: SAP     Published Date: Nov 04, 2015
Download this executive summary of the 2015 Customer Experience Risk Study and learn: -Why at-risk customers often account for over 10% of potential revenue -How retailers miss over 80% of problem occurrences -How to take a customer-value lens to understand problematic experiences -How to measure on impact, as the frequency of issues can be deceiving
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customer experience, sap, at-risk customers, potential revenue, problem occurences, customer-value, measuring on impact
    
SAP
Published By: Davis & Company     Published Date: May 11, 2015
Overcome your fear of employee communication measurement by learning to measure communications more systematically, consistently and easily.
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employee communication measurement, efficiency
    
Davis & Company
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Le odierne aziende orientate alle metodologie DevOps e Agile puntano a cambiamenti rapidi e deployment veloci. Per queste aziende l'architettura dei microservizi è un vantaggio, ma non una soluzione ottimale. Le aziende possono offrire ai team di sviluppo di piccole dimensioni più autonomia e agilità e, di conseguenza, si noterà una maggiore adeguatezza dell'IT alle aspettative mutevoli del business.
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modularità, velocità di delivery, zero deployment, deployment automatizzato, coesione, separazione delle problematiche, ca technologies
    
CA Technologies EMEA
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: CA SM     Published Date: Jun 02, 2008
According to industry experts, organizations that systematically manage the life cycle of their IT assets will reduce the cost per asset by as much as 30% in the first year alone. Yet today, many organizations have little or no insight into exactly what assets they own, let alone how they can optimize assets throughout their life cycle, from requisition to disposal. The same holds true for major IT investments.
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ca service management, ca sm, asset management, it asset management, it management
    
CA SM
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: IBM     Published Date: May 17, 2017
Making predictions is a risky activity. Making predictions in the utility industry can be perilous. History is filled with missed or prematurely exuberant pronouncements of the future of utilities and energy. For example, in the late 20th century, many predicted that the world’s oil supply had reached peak production and would become scarce. Instead, shale gas and oil are in abundance. In the 1990s, people predicted that fuel cells and hydrogen would dominate the landscape by 2010, another illustration that predictions can fail to reach their promise. Learn more. Download now
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energy, utilities, ibm, pov
    
IBM
Published By: HotSchedules     Published Date: Jan 26, 2018
Restaurants are complex businesses with a simple aim: great guest experiences that keep customers coming back for more. In order to achieve this goal, stores must deliver on the promise of a great product and exceptional service. There are a lot of ways to make the equation work and each brand has its own unique mix of ingredients that bring the whole operation together to create a recipe for profitability. There are also elements of a successful restaurant that are consistent across any operation. Restaurant executives have long been on the hunt for this elusive lever (or combination of levers) that systematically drive performance regardless of conditions.
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cio, office, innovation, restaurant, data, software, workflow, hotschedules
    
HotSchedules
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
Published By: Datarobot     Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
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Datarobot
Published By: McAfee     Published Date: Aug 15, 2014
Atualmente, o paradigma de segurança de rede está mudando rumo a uma nova realidade, pois os métodos avançados dos hackers estão cada vez mais predominantes e difíceis de detectar. Um exemplo desses métodos são as técnicas de evasão avançadas (AET, Advanced Evasion Technique). Embora tenham sido documentadas inúmeras evasões nos últimos 15 anos, os fornecedores de segurança ignoraram sistematicamente sua importância.
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firewall de próxima geração, sistemas de prevenção de intrusões, firewall, segurança contextual, detecção de evasão avançada, técnicas avançadas de evasão, aet, ngfw, firewall de próx ger, segurança, gerenciamento de ti, ngips, ips de próxima geração, network security
    
McAfee
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