analytics

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By: Altair     Published Date: Feb 19, 2014
PBS Works™, Altair's suite of on-demand cloud computing technologies, allows enterprises to maximize ROI on existing infrastructure assets. PBS Works is the most widely implemented software environment for managing grid, cloud, and cluster computing resources worldwide. The suite’s flagship product, PBS Professional®, allows enterprises to easily share distributed computing resources across geographic boundaries. With additional tools for portal-based submission, analytics, and data management, the PBS Works suite is a comprehensive solution for optimizing HPC environments. Leveraging a revolutionary “pay-for-use” unit-based business model, PBS Works delivers increased value and flexibility over conventional software-licensing models.
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     Altair
By: IBM     Published Date: Jun 05, 2014
IBM NeXtscale System is changing system design dynamics in the HPC marketplace with ultra-dense servers. Enterprises looking for raw computing power and throughput to handle technical computing, cloud, grid and analytics should evaluate this new ultra-dense, highly scalable systems design. Read the paper by Clabby Analytics to learn more.
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     IBM
By: IBM     Published Date: Jun 05, 2014
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
By: IBM     Published Date: Jun 05, 2014
Are infrastructure limitations holding you back? - Users struggling with access to sufficient compute resources - Resources tapped out during peak demand times - Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: - Ready to run IBM Platform LSF & Symphony clusters in the cloud - Seamless workload management, on premise and in the cloud - 24x7 cloud operation technical support - Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
Tags : ibm
     IBM
By: IBM     Published Date: Aug 27, 2014
Are infrastructure limitations holding you back? Users struggling with access to sufficient compute resources Resources tapped out during peak demand times Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: Ready to run IBM Platform LSF & Symphony clusters in the cloud Seamless workload management, on premise and in the cloud 24x7 cloud operation technical support Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
Tags : ibm, hybrid cloud
     IBM
By: IBM     Published Date: Sep 02, 2014
Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders.
Tags : ibm, ecosystem
     IBM
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: IBM     Published Date: Sep 16, 2015
According to our global study of more than 800 cloud decision makers and users are becoming increasingly focused on the business value cloud provides. Cloud is integral to mobile, social and analytics initiatives – and the big data management challenge that often comes with them and it helps power the entire suite of game-changing technologies. Enterprises can aim higher when these deployments are riding on the cloud. Mobile, analytics and social implementations can be bigger, bolder and drive greater impact when backed by scalable infrastructure. In addition to scale, cloud can provide integration, gluing the individual technologies into more cohesive solutions. Learn how companies are gaining a competitive advanatge with cloud computing.
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     IBM
By: IBM     Published Date: Sep 16, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: RYFT     Published Date: Apr 03, 2015
The new Ryft ONE platform is a scalable 1U device that addresses a major need in the fast-growing market for advanced analytics — avoiding I/O bottlenecks that can seriously impede analytics performance on today's hyperscale cluster systems. The Ryft ONE platform is designed for easy integration into existing cluster and other server environments, where it functions as a dedicated, high-performance analytics engine. IDC believes that the new Ryft ONE platform is well positioned to exploit the rapid growth we predict for the high-performance data analysis market.
Tags : ryft, ryft one platform, 1u deivce, advanced analytics, avoiding i/o bottlenecks, idc
     RYFT
By: IBM     Published Date: May 20, 2015
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
By: IBM     Published Date: May 20, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: IBM     Published Date: May 20, 2015
Are infrastructure limitations holding you back? Users struggling with access to sufficient compute resources Resources tapped out during peak demand times Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: Ready to run IBM Platform LSF & Symphony clusters in the cloud Seamless workload management, on premise and in the cloud 24x7 cloud operation technical support Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
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     IBM
By: Adaptive Computing     Published Date: Feb 21, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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     IBM
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: BitStew     Published Date: Jun 23, 2016
If we examine the root cause of the IT organization’s pain, it continues to be the inability to integrate data from many disparate and operationally focused systems. A recent survey found that only 18% of the respondents had extensively integrated their analytics initiatives across operations and realized their objectives, which pointed to the diversity of datasets and formats and poor data quality. Indeed, data integration is causing the analytics burden to be placed on IT professionals. Download the white paper to learn more.
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     BitStew
By: Akamai Technologies     Published Date: Jun 14, 2018
Companies are pursuing digital transformation. The goal is to improve customer value, operate with greater efficiency and agility, and increase innovation. But as companies leverage new workflows, security has not kept pace, and cyber criminals are becoming more sophisticated. This white paper describes a security paradigm for today’s hostile environment: zero trust.
Tags : behavioral analytics, logging analytics, zero trust security model, security, cyber criminals, security breach
     Akamai Technologies
By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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     Amazon Web Services
By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
Tags : aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
     Aberdeen
By: Avanade DACH     Published Date: Aug 01, 2018
Je besser die Daten, desto besser die Künstliche Intelligenz Sie möchten Ihre Kunden und deren Verhalten besser verstehen? Ihnen eine maßgeschneiderte Customer Experience bieten? Oder neue Geschäftsfelder identifizieren? Es ist vielleicht nicht immer offensichtlich: Aber die Grundlage jeder gut funktionierenden KI sind Daten. In unserem Leitfaden zeigen wir Ihnen in sechs Schritten, wie Sie Ihre Daten auf innovative Weise organisieren. So schaffen Sie eine optimale Grundlage, um künftig das Beste aus künstlicher Intelligenz, Cognitive Computing und maschinellem Lernen herausholen zu können.
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     Avanade  DACH
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.
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     Dell Server
By: Google     Published Date: Aug 23, 2018
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
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     Google
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