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By: Intel     Published Date: Aug 06, 2014
Around the world and across all industries, high-performance computing is being used to solve today’s most important and demanding problems. More than ever, storage solutions that deliver high sustained throughput are vital for powering HPC and Big Data workloads.
Tags : intel, enterprise edition lustre software
     Intel
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: Penguin Computing     Published Date: Mar 23, 2015
The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. While the initial specifications were created for a Web 2.0 environment, Penguin Computing has adapted these concepts to create a complete hardware ecosystem solution that addresses these needs and more. The Tundra OpenHPC system is applicable to a wide range of HPC challenges and delivers the most requested features for data center architects.
Tags : penguin computing, open computing, computing power, hyper-scale computing, tundra openhpc
     Penguin Computing
By: Intel     Published Date: Sep 16, 2014
In this Guide, we take a look at what an HPC solution like Lustre can deliver for a broad community of business and commercial organizations struggling with the challenge of big data and demanding storage growth.
Tags : intel, lustre*, solution for business
     Intel
By: Penguin Computing     Published Date: Oct 14, 2015
IT organizations are facing increasing pressure to deliver critical services to their users while their budgets are either reduced or maintained at current levels. New technologies have the potential to deliver industry-changing information to users who need data in real time, but only if the IT infrastructure is designed and implemented to do so. While computing power continues to decline in cost, the management of large data centers, together with the associated costs of running these data centers, increases. The server administration over the life of the computer asset will consume about 75 percent of the total cost.
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     Penguin Computing
By: AMD     Published Date: Nov 09, 2015
Graphics Processing Units (GPUs) have become a compelling technology for High Performance Computing (HPC), delivering exceptional performance per watt and impressive densities for data centers. AMD has partnered up with Hewlett Packard Enterprise to offer compelling solutions to drive your HPC workloads to new levels of performance. Learn about the awe-inspiring performance and energy efficiency of the AMD FirePro™ S9150, found in multiple HPE servers including the popular 2U HPE ProLiant DL380 Gen9 server. See why open standards matter for HPC, and what AMD is doing in this area. Click here to read more on AMD FirePro™ server GPUs for HPE Proliant servers
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     AMD
By: Avere Systems     Published Date: Jun 27, 2016
This white paper reviews common HPC-environment challenges and outlines solutions that can help IT professionals deliver best-in-class HPC cloud solutions—without undue stress and organizational chaos. The paper: • Identifies current issues—including data management, data center limitations, user expectations, and technology shifts- that stress IT teams and existing infrastructure across industries and HPC applications • Describes the potential cost savings, operational scale, and new functionality that cloud solutions can bring to big compute • Characterizes technical and other barriers to an all cloud infrastructure and describes how IT teams can leverage a hybrid cloud for compute power, maximum flexibility, and protection against locked-in scenarios
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     Avere Systems
By: Data Direct Networks     Published Date: Dec 31, 2015
Parallelism and direct memory access enable faster and more accurate SAS analytics using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workfl ows such as risk management, while incorporating larger datasets than using traditional NAS.
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     Data Direct Networks
By: Oracle     Published Date: Sep 26, 2019
Marketing is not getting more difficult because of data— it’s actually getting easier. In the old days you needed to guess who your audience was and plan in advance what you wanted to say and wait far too long to see if it worked. Those days are long gone—now you can determine EXACTLY who your audience is, deliver a relevant, personalized message in a nanosecond, and find out almost immediately whether it worked! You no longer have to live by the spray-and-pray method— you can be tactical in your delivery. Marketing today is data-driven and uses a wealth of insights and connection points to engage with consumers one to one. Data about our customers and prospects gives us the ability to deliver the right message to the right audience at the right time. That’s audience targeting, and it’s far deeper than demo targeting, even though targeting by demo is a nice place to start. That said, the sheer volume of data and technology can be overwhelming. Cut through the noise and tackle the ba
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     Oracle
By: Oracle     Published Date: Sep 26, 2019
We live in a data-rich world. From visitor behavior on websites and social media interactions to mobile app usage and device communications across the Internet of Things, brands are inundated with data.
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     Oracle
By: Oracle     Published Date: Sep 30, 2019
Let’s just get to the core of the issue: The customer experience (CX) is broken. Legacy technology is way behind and it creates a distorted view of the customer. Though it provides behavioral, demographic, and preference data, most martech doesn’t link important data silos together to deliver the bold multichannel experience always-on customers want. How can marketers stay competitive in a data-driven world with outdated technology behind their decision-making? Simple. They can’t. In order to course correct the customer experience, marketers need: • The ability to build a holistic customer view that incorporates preferences, behaviors, and personalization across multiple devices and channels • A way to manage B2B and B2C CX at every touchpoint Can your technology do all this? Let’s look into that.
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     Oracle
By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more. Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination. Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
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     TIBCO Software
By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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     Group M_IBM Q4'19
By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat has developed a storage platform that provides unique simplicity, efficiency, reliability, and extensibility that enhances the business value of large-scale OpenStack environments. The InfiniBox® platform is a pre-integrated solution that scales to multiple petabytes of effective capacity in a single 42U rack. The platform’s innovative combination of DRAM, flash, and capacity-optimized disk, delivers tuning-free, high performance for consolidated mixed workloads, including object/Swift, file/Manila, and block/Cinder. These factors combine to cut direct and indirect costs associated with large-scale OpenStack infrastructures, even versus “build-it-yourself” solutions. InfiniBox delivers seven nines (99.99999%) of availability without resorting to expensive replicas or slow erasure codes for data protection. Operations teams appreciate our delivery model designed to easily drop into workflows at all levels of the stack, including native Cinder integration, Ansible automation pl
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     Infinidat EMEA
By: MicroStrategy     Published Date: Nov 05, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 06, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation (see figure 1). Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills. Read the report for a full list of enterprise challenges and tips on how to address them.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
A&BI platforms are transitioning from delivering simple, manual self-service to supporting more advanced, automated analytic use cases via growing, augmented, ML-driven capabilities. Data and analytics leaders should enable broader use cases to increase their investments’ business impact. Analytics and business intelligence (A&BI) platforms exhibit differences in functional capabilities, particularly in their support for advanced analytics, data source connectivity and embedded functionality. As the market matures, the capabilities required to build and deliver user-friendly analytics dashboards are the least differentiated. The trend toward assisting users with augmented data discovery functionality continues, but many products still lack enough support for this critical capability. When viewed across the whole span of capabilities, significant differences remain between competing platforms and, therefore, also between which are most appropriate for a given use case. In some cases, th
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. So the challenge is to make analytics impactful in eve
Tags : 
     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
For the second year, MicroStrategy has surveyed business intelligence and analytics decision makers from around the world about the current state of their organization’s analytics initiatives and their plans for the future. Respondents were asked about benefits realized, challenges to success, priorities, and investments—and most importantly, if current initiatives to create and deliver on a data-driven culture and business were moving forward. As in the previous year’s survey, respondents had no doubt about the importance of data and analytics when it came to digital transformation. Yet, this year’s analysis uncovered that, as the reality of 2020 and a new decade of accelerated innovation set in, a smaller set of leaders were confident in their progress to date.
Tags : 
     MicroStrategy
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