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Published By: Mitel     Published Date: Nov 08, 2018
Pour offrir une expérience client plus personnalisée, les entreprises pourront compter sur l’allié insoupçonné que sont les machines. Des plus petits capteurs aux centres de contact utilisant l’intelligence artificielle, les technologies basées sur les machines peuvent aider les entreprises à mieux comprendre, servir et contacter leurs clients. Une récente enquête menée dans six pays et auprès de 2 500 décideurs informatiques révèle que les entreprises considèrent quasi universellement que les technologies basées sur les machines apportent une valeur ajoutée substantielle dans le cadre d’une expérience client plus personnalisée.
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wireless communication, audio conferencing, communications systems, video conferencing, cloud-based unified communications, enterprise voice, unified messaging, collaboration portal, business communications
    
Mitel
Published By: Cisco EMEA     Published Date: Nov 08, 2018
The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third party perspective is based on our own hands on testing as well as on interviews with customers who use these products in production environments.
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Cisco EMEA
Published By: Avaya     Published Date: Nov 07, 2018
How new technologies will change how people connect with each other and serve customers tomorrow. The Leader’s Guide to the Future of Work, featuring Gartner Research, introduces you to a world where technology helps people connect better – with each other and with their customers. The workplace as we know it today is evolving into a digital, virtual work space, where work becomes more fluid, more project-based and more mobile than today. Where teams communicate and collaborate more effectively, beyond devices, physical locations and functions – even beyond the boundaries of the enterprise. And where humans and machines not only work together, but complement each other effortlessly.
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Avaya
Published By: Insight Software     Published Date: Oct 19, 2018
There’s no denying that the world has been rocked on its side by some incredible technological advances that have drastically altered how we live and work. Cellular phones have evolved from bulky handsets in carry bags to sleek devices that do practically everything. In 2017, 46 percent of surveyed Americans said they use digital voice assistants such as Google Home or Amazon Echo, with 56.3 million more smart speakers predicted to ship in 2018. In manufacturing and business, we’re at a point of unprecedented automation. Machines have taken over a vast number of tasks, including those once thought undoable by machine.
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Insight Software
Published By: insightsoftware     Published Date: Oct 19, 2018
Over the past few decades, technology has advanced by leaps and bounds, altering how we live and work. As machines take over certain jobs for safety or improved accuracy, some are concerned that technology will eventually replace people. But as businesses incorporate machines and technology deeper into workplaces, it is evident that a mindset shift needs to occur. The working world must find ways to incorporate technology so that people do what people do best, while allowing computers to do what computers do best. It’s time to think differently about technology. It’s time to make technology part of the team. To download this white paper, please complete the following form.
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insightsoftware
Published By: Domino     Published Date: Oct 05, 2018
Industry 4.0 promises a whole host of benefits to food manufacturers — from reduced errors and more uptime to unprecedented visibility into operations at every step in the process. But for many food manufacturers out there, this is uncharted territory. Getting machines of various vintages connected and communicating seamlessly with each other and with existing control systems can seem like an expensive and difficult proposition. Coding and marking is a great place to start for many companies, since SKU proliferation is putting greater demands on packaging lines and introducing additional opportunities for human error. In this brief white paper, Domino examines five key issues with integrating coding and marking systems that often present challenges for food manufacturers along the road to Industry 4.0.
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Domino
Published By: Cisco     Published Date: Sep 27, 2018
As the world of traditional manufacturing fuses with information technology, organizations are tapping into a level of technical orchestration never attainable before. Symphonies of systems facilitate real - time interactions of people, machines, assets, systems, and things. This is the Smart Factory; the factory ecosystem of the future. It is an application of the Industrial Internet of Things (IIoT) built with sets of hardware and software that collectively enable processes to govern themselves through machine learning and cognitive computing
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Cisco
Published By: Quantum Corporation     Published Date: Sep 11, 2018
Virtualization is rapidly changing the way business IT operates, from small local businesses to multinational corporations. If you are reading this, chances are good that your company is already taking advantage of virtualization’s benefits. Virtualization means that a single underlying piece of hardware, such as a server, runs multiple guest operating systems to create virtual machines, or VMs, with each of them being oblivious to the others. An administrative application, such as VMware, manages the sharing process, allocating hardware resources, memory, and CPU time to each VM as needed. And all applications look at this software construct exactly as if it were a real, physical server — even the VM thinks it’s a real server! Virtualization makes good financial sense. It enables a single server to offer multiple capabilities that otherwise would require separate servers. It includes native high availability features, so you don’t have to use any more complex clustering tools. This ab
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Quantum Corporation
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Mitutoyo     Published Date: Aug 24, 2018
Today’s factory intelligence is the collaborative orchestration of people and machines. By blending intelligence from multiple sources, factories are truly becoming smarter. But it’s not just about the machines. Rather, people are improving machines through a true partnership that turns human experience into smarter machines. This shift marks a re?orientation to a thought process that’s more natural to people. After decades of working with 2D blueprints, designs and dimensioned drawings, factory intelligence leverages 3D models that are easier for people to comprehend and use. Plus, many people find more satisfaction in intelligent factory work that challenges them to manage relationships among machines, rather than repeatedly working on a single piece in a line. In smarter factories, people direct machines to adjust for shifting customer requirements and market demands.
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factory intelligence, 3d models, market demands, model-based enterprise, supply chain, precision metrology, cmm
    
Mitutoyo
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Global Software     Published Date: Aug 13, 2018
Humans excel at tasks that require creativity, the opportunity to respond to the unexpected, and general attentiveness to the surrounding environment. Technology and machines, on the other hand, are built to process a lot of information quickly without getting bored; technology reliably completes the task it is assigned without deviation. The most powerful approach to adding technology to a team takes the strengths of both humans and technology into account and from that, creates a superior, collaborative system. For example, reporting software such as Spreadsheet Server and Atlas for Dynamics AX/365 by Global Software, Inc. both serve as machine learning intelligence that uses automation to reduce errors, while at the same time preserving humans’ ability to create reports and outcomes from the data the way they need to see it.
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technology, machines, dynamics, global, software
    
Global Software
Published By: Datastax     Published Date: Aug 03, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: IBM     Published Date: Aug 01, 2018
Your customers aren't the only ones who can benefit from advancing artificial intelligence (AI) support — your employees can, too. Chatbots help employees who service customers, and you can build them with mature AI components. But success requires a focus on tasks rather than job replacement as well as a cyborg-like division between human and machine tasks. This report helps infrastructure and operations (I&O) pros determine which tasks are best executed by people and which are best left to machines, with use cases describing how that looks.
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IBM
Published By: Microsoft     Published Date: Jul 20, 2018
How to migrate virtual machines, apps, and data to the cloud with confidence
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Microsoft
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
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
Published By: AWS     Published Date: Jul 16, 2018
The Internet of Things (IoT) is composed of sensor-embedded devices and machines that exchange data with each other and the cloud through a secure network. Often referred to as “things” or “edge devices”, these intelligent machines connect to the internet either directly or through an IoT gateway, enabling them to send data to the cloud. Analyzing this data can reveal valuable insights about these objects and the business processes they’re part of, helping enterprises optimize their operations. Devices in IoT deployments can span nearly any industry or use case. Each one is equipped with sensors, processing power, connectivity, and software, enabling asset control and other remote interactions over the internet. Unlike traditional IT assets, these edge devices are resource-constrained (either by bandwidth, storage, or processing power) and are typically found outside of a data center, creating unique security and management considerations.
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AWS
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
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
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
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
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