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Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
Published By: Red Hat     Published Date: Sep 09, 2018
This assessment shows that enterprises adopt Red Hat Fuse because they believe in a community-based open source approach to integration for modernizing their integration infrastructure that delivers strong ROI. For these organizations, Fuse was part of a larger digital transformation initiative and was also used to modernize integration. IDC interviewed organizations using Fuse to integrate important business applications across their heterogeneous IT environments. These Red Hat customers reported that Fuse has enabled them to complete substantially more integrations at a higher quality level, thereby supporting their efforts to deliver timely and functional applications and digital services. Efficiencies in application integration with Fuse have generated significant value for study participants, which IDC quantifies at an average value of $75,453 per application integrated per year ($985,600 per organization). They have attained this value by: » Enabling more efficient and effectiv
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Red Hat
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use.
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Hewlett Packard Enterprise
Published By: Avi Networks     Published Date: Aug 17, 2018
Flexible infrastructure choices and application architectures are changing the way that modern enterprises run their computing. Enterprises have become application-centric, investing significant effort and resources on continuous delivery goals and DevOps practices to achieve automation of routine IT and operations tasks. With application owners seeking public-cloud-like simplicity and agility in their own data centers, IT teams are under pressure to reduce wait times to provision applications and updates.
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Avi Networks
Published By: Dell Server     Published Date: Aug 08, 2018
Transforming IT to meet the emerging requirements of a rapidly advancing digital economy is a priority for most companies today. Market economies and quickly evolving digital interactions are driving new and increasing demands on IT infrastructure for organizations of all kinds – from small businesses to enterprises to public institutions. IT requirements to support a variety of digital use paradigms (personal devices, IoT, VMs, VDI) are changing quickly, and organizations need to respond in order to be competitive in this evolving digital world. The latest generation of PowerEdge servers powered by Intel® Xeon® Platinum processors can deliver differentiated business agility over older-generation infrastructure. IDC asserted that updating servers can help businesses deploy applications up to 22 percent faster and improve application performance up to 29 percent over outdated infrastructure. Intel Inside®. New Possibilities Outside.
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Dell Server
Published By: Dell Server     Published Date: Aug 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization. Forward-thinking IT organizations are developing new infrastructure strategies to better support high-value analytics workloads with Dell EMC PowerEdge Servers powered by Intel® Xeon® Platinum processor.
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Dell Server
Published By: AWS     Published Date: Aug 06, 2018
Learn more Salesforce and Amazon Web Services at http://amzn.to/2zhcn1v. Building and releasing cutting-edge applications quickly can be difficult when you lack proper tooling and integrated customer data. Salesforce Heroku delivers a cloud-native, developer-friendly platform that streamlines application development by integrating formerly siloed customer data and removing the burden of infrastructure management, allowing developers to focus their attention solely on creating customer-centric applications. Join the upcoming webinar to hear how the Financial Times builds customer-driven applications with faster cycle times with Heroku and AWS.
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AWS
Published By: Microsoft     Published Date: Jul 20, 2018
Cloud computing has ushered in a golden era for software companies. The cloud’s low barrier to entry allows creativity to flourish, especially for software developers who are creating applications directly on cloud-based infrastructure. Cloud-based infrastructure enables developers to do what they love: solve business problems and bring innovative new ideas to life, using their choice of tools. In a Software as a Service (SaaS) model, applications can easily be deployed to a cloud service, and delivered to clients who appreciate the ease of access and low cost. The cloud model relieves the developer and the enterprise IT professional from the burden of managing or maintaining capital-intense infrastructure. But the cloud’s low barrier to entry also allows competing software providers to enter the market every day, from every sector. Independent software vendors, or ISVs, are pressured by increased competition to deliver their applications faster, with greater functionality and ease of
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Microsoft
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"Enterprises depend on data to improve customer interaction, accelerate product development and run the back office. ?Is infrastructure complexity holding your applications back? ? Do your applications have instant access to data?"
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Hewlett Packard Enterprise
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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hyperconverged, infrastructure, simplivity
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Most companies would love to move enterprise applications to the public cloud and cut the costs, complexities, and limitations of current infrastructure. Major public cloud providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud have done well in enabling web, mobile, and content applications in the cloud. These are cloud-native applications designed to use cloud “object” storage, and object storage is very popular for use cases such as backup and disaster recovery. However, enterprise applications typically require “block” storage. Although native cloud block storage exists, it has several shortcomings, particularly around reliability, durability, and lack of data mobility. So, enterprise applications have largely stayed on-premises or in private clouds. Now there’s an innovative new way to move enterprise applications to the public cloud while actually reducing risks and tradeoffs. It’s called multicloud storage, and it’s an insanely simple, reliable, secure w
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"IT departments have to manage an infrastructure “duality” — the ability to deploy and manage two sets of applications, each with vastly diverse infrastructure requirements and service-level objectives. IDC found that by implementing next-generation apps on infrastructure designed for current-generation apps, such businesses risk putting their DX initiatives in jeopardy. HPE Synergy take key benefits of converged and hyperconverged infrastructure to the next level by operating on fluid (composable) compute, networking, and storage resource pools and are optimized for operations as well as applications. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
The need to bridge the gap between traditional IT services and cloud application delivery is vital.   This HPE Pointnext blueprint guide examines the critical global business services and IT technology best practices for enabling cloud-native applications—from DevOps practices to underlying infrastructure. The blueprint helps IT teams accelerate the development and delivery of cloud-native applications.
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Hewlett Packard Enterprise
Published By: Turbonomic     Published Date: Jul 05, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
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Turbonomic
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) technologies are rapidly moving beyond the realms of academia and speculative fiction to enter the commercial mainstream, with innovative products that utilize AI transforming how we access and leverage information. AI is also becoming strategically important to national defense and in securing our critical financial, energy, intelligence, and communications infrastructures against state-sponsored cyberattacks. According to an October 2016 report issued by the federal government’s National Science and Technology Council Committee on Technology (NSTCC), “AI has important applications in cybersecurity, and is expected to play an increasing role for both defensive and offensive cyber measures.” Based on this projection, the NSTCC has issued a National Artificial Intelligence Research and Development Strategic Plan to guide federally-funded research and development. The era of AI has most definitely arrived, but many still don’t understand the basics of this im
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artificial, intelligence, cybersecurity, machine
    
BlackBerry Cylance
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: IBM     Published Date: Jun 25, 2018
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data. Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales. Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Citrix     Published Date: Jun 15, 2018
To meet the growing challenges of a competitive world economy, a digital transformation is taking place in the enterprise. Organizations realize that to be competitive they need to be more agile. They need to reach their customers wherever they are, and they need to be able to scale their applications to meet customer demands. To meet these challenges, organizations are deploying new microservice applications that are changing the application delivery environment. These applications are agile, configured to enable new features to be added without disrupting applications in production, and designed to automatically instantiate instances in response to increasing user demand. In short, microservices are drastically changing the way that applications are deployed and managed. This introduces a high level of complexity to network infrastructures because traditional applications are not going away. Applications will continue to be designed for both microservices and traditional 3-tier imple
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Citrix
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