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Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Amazon Web Services EMEA     Published Date: Aug 02, 2019
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
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data, technologies, learning, applications, technology, machine, cloud
    
Amazon Web Services EMEA
Published By: VeriShip     Published Date: Jul 26, 2019
You may believe your shipping operation is a well-oiled machine; you pay your invoices on time, your costs seem to be under control and, as far as you know, your customers are satisfied with your service… But with shipping, there’s more than what meets the eye. Here are five common mistakes shippers make
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VeriShip
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Aug 13, 2019
Real-time ERP systems are converting purchase order into jobs and schedules through the integration of standard ERPs with Machine Learning (ML) and Artificial Intelligence (AI). This powerful combination of touchless digitization engine, Robotic Process Automation (“software robots” that perform tasks automatically), and APIs in a nonintrusive manner to highly automate process is convincing Business Leaders, CIOs and IT managers that AI has moved past hype. Download full White Paper.
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Larsen & Toubro Infotech(LTI)
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Jamf     Published Date: Aug 06, 2019
Today, more than 100-plus million users rely on Windows 7. For these users, a new technology age is coming on January 14, 2020 when Microsoft officially ends extended support for Windows 7. With a change required, this is the ideal time for organizations to determine if they want to migrate to Windows 10 or look to modernize their workplace by following the growing trend of enterprises that have introduced employee choice programs and Mac to their environment. This e-book examines the options organizations have and how they can make the most beneficial and economical decision.
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Jamf
Published By: Jamf     Published Date: Aug 12, 2019
The whispers of “imaging is dead” accompanied macOS High Sierra as Apple introduced Apple File System (APFS) to the Mac. Now, whispers have turned to shouts as macOS Mojave takes yet another step further in rendering imaging a thing of the past. This white paper examines all things imaging and looks at the reasoning behind the transition, what new provisioning workflows are available to you, and the benefits of adhering to a more modern deployment method.
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Jamf
Published By: Jamf     Published Date: Aug 12, 2019
Since its origin, Mac has been an instrumental tool in helping K-12 schools provide the right resources to students and staff. As the must-have technology for teachers and computer labs, Mac and its wealth of available apps help ensure success in elementary schools all the way through high school graduation. Now, with more Mac computers making their way into school environments than ever before, the need to properly deploy, manage and secure Apple is at an all-time high. This white paper examines how purpose-built management solutions are essential to a successful Apple strategy.
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Jamf
Published By: Iovation     Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity. Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to: Detect and respond to fraudulent activity before incurring losses Leverage human insight and machine learning to identify advanced fraud Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale Block more fraud while reducing fraud prevention costs This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
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Iovation
Published By: SAS     Published Date: Aug 06, 2019
Under risk adjustment, health plans with a lower average risk score make payments into the system or miss out on revenue opportunities, while plans with relatively high average risk scores receive payments. So it’s critical for a plan to get this analysis right – or forfeit revenue it deserves. With advanced analytics and machine learning, health care organizations can be more timely and confident in their risk adjustment programs, more effectively managing the cost of care and building a stable annual financial portfolio.
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SAS
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, networking, it management, data management
    
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, networking, it management
    
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
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