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Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Choosing Azure revolutionizes your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: -Terminate Zombie Assets -Delete Aged Snapshots -Rightsize Virtual Machines -Rightsize SQL Databases Read 10 Best Practices for Reducing Spend in Azure, to learn key strategies for optimizing cloud spend and saving 10-20% on your monthly Azure costs.
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cloud management, microsoft azure, multicloud management
    
CloudHealth by VMware
Published By: Oracle     Published Date: Jan 28, 2019
This report provides an overview of the Oracle Cloud at Customer portfolio (this includes Oracle Exadata Cloud at Customer, Oracle Big Data Cloud at Customer, Oracle SaaS at Customer and Oracle Cloud at Customer) and analyzes its capabilities to satisfy the need of enterprises for a next-generation computing platform. A next-generation computing platform allows enterprises to deploy workloads across the premises and the public cloud. For enterprises running their next-generation applications on a next-generation computing platform, Oracle Cloud at Customer does very well because of Oracle’s vision of the “chip-to-click” integrated technology stack (i.e., from the CPU silicon, across all OSI layers and all the way to the end-user mouse click). With Oracle using the same technology stack and machines both in its cloud and on premises, it has the highest degree of identicality across these offerings from all vendors that are part of Constellation Research’s Market Overview on next-genera
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Oracle
Published By: Oracle     Published Date: Jan 28, 2019
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers. High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
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Oracle
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
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TIBCO Software GmbH
Published By: Intel     Published Date: Dec 13, 2018
Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.
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Intel
Published By: KPMG     Published Date: Dec 05, 2018
As extraordinary advances in technology start to transform the traditional workforce, business leaders must get ready for a future where skilled employees and smart machines will work together. Read this report to find out: what the emergence of AI means for leadership and workforce management how to define a strategic roadmap to understand how AI will impact your organisation how a new concept – ‘workforce shaping’ – is being used by leading organisations preparing for the future.
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KPMG
Published By: AuditBoard     Published Date: Nov 26, 2018
Affecting over 200,000 machines in more than 150 countries, the ransomware known as Wanna Decryptor, or “WannaCry,” became the largest cybersecurity attack in history in May 2017. The malicious software locked out users from critical data, and demanded a ransom payment to unlock the contents. Governments, hospitals, and corporations scrambled to address the attack and prevent the infection from spreading. Ironically, the virus’ execution method was simple: it exploited a vulnerable Windows SMB protocol to spread – an exploit Microsoft had addressed two months prior to the attack with the release of a patch.
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AuditBoard
Published By: Druva     Published Date: Nov 09, 2018
The momentum of cloud adoption continues to grow for virtualized workloads. This year’s survey showed that 41% of respondents are now running virtual machines (VMs) in the cloud, up from 31% only a year ago. Furthermore, 90% of respondents are currently running, or plan to run, VMs in the cloud in this year, indicating a strong trend towards moving virtual workloads to the cloud. The majority of respondents (59%) plan to leverage AWS for these workloads, with 25% of those planning to use VMware Cloud (VMC) on AWS.
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Druva
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
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