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Published By: Schneider Electric     Published Date: Apr 23, 2019
Schneider Electric surveyed over 400 worldwide machine builders and factory end users in 2015. The questions they answered all centered around what their machines and plants would need to look like in 2020 if their businesses were to sustain growth and boost productivity. Their feedback has shaped (and will continue to shape) Schneider Electric digitized solution investments. Key requirements identified included: • Tools that could accommodate a younger, less skilled, and less experienced workforce • A need for simpler integration through open software connectivity and more open field buses • A need for whole lifecycle support of the products they purchase Read this eBook to see answers to some of these identified key points from those surveyed.
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machine, digitization, industry 4.0, business models, smart machines
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 23, 2019
The supply chain for manufacturers and distributors is facing challenges around increased analytics, multichannel fulfillment, talent shortages, and the use of new technologies such as wireless, augmented reality, robotics and machine-to-machine (M2M). At the same time, there is continued focus on cost reduction and sustainability. The Industrial Internet of Things is driving a huge transformation as it increases the interconnection between connected devices and analytics. The smart manufacturing enterprise can seize opportunities to maximize efficiency and safety through networking and intuitive collaboration with its users. This eBook shares practical steps to follow for a smart material handling and logistics approach.
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material handling, logistics, conveying
    
Schneider Electric
Published By: Equinix EMEA     Published Date: May 17, 2019
La guía digital para pagos y comercio describe cómo los líderes de la industria están transformando su ventaja digital para aprovechar una cadena de valor basada en el ecosistema y obtener información en tiempo real y una experiencia fluida. Nuestra estrategia simple de tres pasos ofrece las mejores prácticas comprobadas sobre cómo rediseñar su presencia, integrar las capacidades cloud y SaaS y facilitar nuevas ofertas basadas en la colaboración interconectada.
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Equinix EMEA
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Lenovo UK     Published Date: Nov 09, 2018
El aumento de la movilidad está causando un dolor de cabeza a los equipos de TI en todas partes, con el potencial de mayores costos y riesgos. Pero con ThinkPad impulsado por los procesadores Intel® Core™ i7 vPro™, obtiene seguridad 360, durabilidad confiable y productividad sin compromisos en todos y cada uno de los dispositivos. Obtenga más información en nuestro documento técnico. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, el logotipo de Intel, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, el logotipo de Intel Inside, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, Xeon Inside y Intel Optane son marcas comerciales de Intel Corporation o de sus filiales en Estados Unidos y/o en otros países.
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Lenovo UK
Published By: Box     Published Date: Jun 22, 2018
• Facing a myriad of challenges from digital transformation, business today are making big bets on the best collaboration tools they need on hand to meet those challenges. From employee buy-in, to machine-learning capabilities, to security, it's important to select a service with the right capabilities to further your business goals. The challenge, however, is that with so many services to choose from it can be difficult to figure out which one is the right fit for your business. • This eBook, 5 Considerations in Choosing a Collaboration Platform in the Digital Age, will walk you through the ins and outs of what to keep in mind as you choose the best collaboration platform for you.
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Box
Published By: Coupa     Published Date: Dec 14, 2018
Business Spend Management Improves Visibility and Control Over Spend for Financial Leaders Closing the books can be a tedious, manual process when accrual balances don’t match AP balances and a backlog of invoices cause an increase in resource hours. Get insight on how Salesforce and Ionis Pharmaceuticals leverage business spend management to streamline the financial close. Read this eBook to learn how to: • Automate spend processes to cut heavy manual workloads • Gain full visibility and control over spend • Move from transactional “spreadsheet jockey” to strategic management • Minimize risk associated with missed accruals
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Coupa
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Today’s idea-driven economy calls for a simpler, faster virtualization solution—one that can be managed by one IT generalist vs. numerous IT specialists. Enter HPE Hyper Converged 380, an advanced, virtualized system from Hewlett Packard Enterprise. Based on the HPE ProLiant DL380 Gen9 Server, this enterprise-grade VM vending machine enables you to quickly deploy VMs, simplify IT operations, and reduce overall costs like no other hyperconverged system available today.
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information technology, it specialist, cost reduction, hyper convergence
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Infographic based on the InfoSight report.
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Hewlett Packard Enterprise
Published By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
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storage, backup, recovery, best practices
    
Commvault
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics
    
Pentaho
Published By: Cisco     Published Date: Jan 05, 2015
Virtualization has transformed the data center over the past decade. IT departments use virtualization to consolidate multiple server workloads onto a smaller number of more powerful servers. They use virtualization to scale existing applications by adding more virtual machines to support them, and they deploy new applications without having to purchase additional servers to do so. They achieve greater resource utilization by balancing workloads across a large pool of servers in real time—and they respond more quickly to changes in workload or server availability by moving virtual machines between physical servers. Virtualized environments support private clouds on which application engineers can now provision their own virtual servers and networks in environments that expand and contract on demand.
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datacenter, data management, collaborations, business capabilities
    
Cisco
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
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Oracle
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Storage is normally the first suspect when identifying the causes of the App-Data Gap, but the facts tell a different story. Flash Alone Isn’t Enough. Infrastructure complexity makes it difficult to pinpoint the real problem, resulting in: • Extended downtime and frustration • Inefficient use of IT resources and budget • Long hours spent resolving cross-vendor issues
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Hewlett Packard Enterprise
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: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Dell and Nutanix     Published Date: Jan 16, 2018
Because many SQL Server implementations are running on virtual machines already, the use of a hyperconverged appliance is a logical choice. The Dell EMC XC Series with Nutanix software delivers high performance and low Opex for both OLTP and analytical database applications. For those moving from SQL Server 2005 to SQL Server 2016, this hyperconverged solution provides particularly significant benefits.
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data, security, add capacity, infrastructure, networking, virtualization, dell
    
Dell and Nutanix
Published By: SAP EMEA Global     Published Date: Dec 13, 2017
For manufacturers, this IDC white paper examines the current and future Internet of Things (IoT) imperative for the following discrete manufacturing industries: automotive, aerospace and defense, high tech, and industrial machinery. We highlight IoT-enabled scenarios — those possible both now and in an Industry 4.0 future with smart manufacturing. (IDC defines IoT as a network of uniquely identifiable endpoints or “things” that communicate without human interaction using IP connectivity.) These scenarios more tightly integrate “things” with other information, processes, and even value chains. Further, we demonstrate how companies in these industries leverage technology to create business value today and disruptive opportunities tomorrow.
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SAP EMEA Global
Published By: Dell EMC & Intel     Published Date: Aug 03, 2018
La transformación digital se ha convertido en una imperativa comercial, ya que la mayoría de los aspectos de la participación económica se han vuelto digitales. En todo el mundo, las empresas y los organismos gubernamentales están rediseñando sus infraestructuras de tecnología para mantenerse a la par de las exigencias de los clientes, impulsar la innovación y seguir siendo competitivos en una economía digital en constante evolución. Una encuesta reciente de PwC destacó que el 45 % de los ejecutivos del negocio y de TI de 51 países identifica como una prioridad máxima el aumento de los ingresos por medio de la transformación digital1. El éxito en este panorama digital acelerado requiere que las empresas transformen sus infraestructuras de TI para alcanzar nuevos niveles de flexibilidad y de capacidad de respuesta. Al mismo tiempo, los equipos de TI deben lograr un equilibrio entre mantener los aspectos principales del negocio mientras invierten en nuevas innovaciones de negocios y de
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Dell EMC & Intel
Published By: Preempt     Published Date: Nov 02, 2018
Attackers and malware are increasingly relying on a common set of tools to compromise identities and spread within a network. Tools like Mimikatz accompanied with common administrator tools like PsExec and WMI have become a standard part of an attacker’s arsenal to turn a single machine compromise into a full network breach. In this webinar we will take a look at why some of these tools are traditionally difficult to control, and introduce new countermeasures that let you fight back. In this webinar we will cover: - An analysis of recent malware and attacks and the tools they used to spread through the network. - A closer look at the underlying protocols supporting these tools, and the traditional challenges to controlling them. - Introduce new controls that allow organizations to control NTLM in real-time, block pass-the-hash techniques, and adaptively control the use of NTLM in the network. - How to gain visibility into PsExec, WMI, and RPC in general and how to create controls t
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Preempt
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