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By: IBM     Published Date: Sep 02, 2014
Life Sciences organizations need to be able to build IT infrastructures that are dynamic, scalable, easy to deploy and manage, with simplified provisioning, high performance, high utilization and able to exploit both data intensive and server intensive workloads, including Hadop MapReduce. Solutions must scale, both in terms of processing and storage, in order to better serve the institution long-term. There is a life cycle management of data, and making it useable for mainstream analyses and applications is an important aspect in system design. This presentation will describe IT requirements and how Technical Computing solutions from IBM and Platform Computing will address these challenges and deliver greater ROI and accelerated time to results for Life Sciences.
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     IBM
By: IBM     Published Date: Sep 02, 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.
Tags : ibm, ibm platform computing, save money
     IBM
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
Join IBM and Nuance Communications Inc. to learn how Nuance uses IBM Elastic Storage to improve the power of their voice recognition applications by managing storage growth, cost and complexity while increasing performance and data availability. View the webcast to learn how you can: · Lower data management costs through policy driven automation and tiered storage management · Manage and increase storage agility through software defined storage Remove data related bottlenecks to deliver application performance
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     IBM
By: IBM     Published Date: May 20, 2015
Every day, the world creates 2.5 quintillion bytes of data and businesses are realizing tangible results from investments in big data analytics. IBM Spectrum Scale (GPFS) offers an enterprise class alternative to Hadoop Distributed File System (HDFS) for building big data platforms and provides a range of enterprise-class data management features. Spectrum Scale can be deployed independently or with IBM’s big data platform, consisting of IBM InfoSphere® BigInsights™ and IBM Platform™ Symphony. This document describes best practices for deploying Spectrum Scale in such environments to help ensure optimal performance and reliability.
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     IBM
By: IBM     Published Date: Sep 16, 2015
The IBM Spectrum Scale solution provided for up to 11x better throughput results than EMC Isilon for Spectrum Protect (TSM) workloads. Using published data, Edison compared a solution comprised of EMC® Isilon® against an IBM® Spectrum Scale™ solution. (IBM Spectrum Scale was formerly IBM® General Parallel File System™ or IBM® GPFS™, also known as code name Elastic Storage). For both solutions, IBM® Spectrum Protect™ (formerly IBM Tivoli® Storage Manager or IBM® TSM®) is used as a common workload performing the backups to target storage systems evaluated.
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     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: RedPoint     Published Date: Sep 22, 2014
The emergence of YARN for the Hadoop 2.0 platform has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data in ways never before possible with outcomes possibly never imagined. By separating the problem of cluster resource management from the data processing function, YARN offers a world beyond MapReduce: less encumbered by complex programming protocols, faster, and at a lower cost. Some of the topics discussed in this paper include: • Why is YARN important for realizing the power of Hadoop for data integration, quality and management? • Benchmark results of MapReduce vs. Pig vs. visual “data flow” design tools • The 3 key features of YARN that solve the complex problems that prohibit businesses from gaining maximum benefit from Hadoop. Download this paper to learn why the power of Hadoop 2.0 lies in enabling applications to run inside Hadoop, without the constraints of MapReduce.
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     RedPoint
By: IBM     Published Date: Nov 14, 2014
Every day, the world creates 2.5 quintillion bytes of data and businesses are realizing tangible results from investments in big data analytics. IBM Spectrum Scale (GPFS) offers an enterprise class alternative to Hadoop Distributed File System (HDFS) for building big data platforms and provides a range of enterprise-class data management features. Spectrum Scale can be deployed independently or with IBM’s big data platform, consisting of IBM InfoSphere® BigInsights™ and IBM Platform™ Symphony. This document describes best practices for deploying Spectrum Scale in such environments to help ensure optimal performance and reliability.
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     IBM
By: Kindred Hospital Rehabilitation Services     Published Date: Aug 26, 2019
Research has demonstrated enhanced technology can improve communication between patients, families and care providers, improve motivation, and has the potential to effect better outcomes and higher levels of patient satisfaction. Additionally, better technology also makes the workplace more appealing to employees. With the investment and complexity involved, how can health systems utilize technology in the most efficient and effective ways to drive business results?
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     Kindred Hospital Rehabilitation Services
By: Intel     Published Date: Aug 26, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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     Intel
By: Intel     Published Date: Sep 25, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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     Intel
By: SiteImprove     Published Date: Oct 02, 2019
This report is an attempt to understand what marketing leaders view as their top issues with regard to corporate websites and broader digital presences, and to identify their focus areas today and over the next 12 months. The results point to a desire for marketers to optimise the customer experience across every touchpoint. That aim is commendable but, as our research makes clear, there are serious obstacles along the way.
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     SiteImprove
By: PwC     Published Date: Aug 19, 2019
There are 56.7 million contingent workers, including temporary or part-time workers, freelancers, consultants, and independent contractors in the US, making up approximately 40% of the US workforce today. In fact, 76% of HR leaders plan to hire contingent workers to deliver on growth objectives, In PwC's Future of Work study, nearly 50% of survey participants said that employees will work for more than one employer at a time, making it critical to actively manage their commitment and productivity during employment periods. Learn how to streamline the entire experience of on-boarding and retaining contingent workers to drive the greatest results for everyone involved
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     PwC
By: Workday APAC     Published Date: Oct 07, 2019
"Considering switching to a single system for finance, planning, and analytics? These leading insurance companies did just that—and they achieved amazing results. This infographic shows how Workday helped them stay competitive, deliver a customer experience like no other, and ensure compliance as well as: Save $400,000 annually with better transactional control Reduce time spent on manual processes, such as quarterly reports Spend more time analyzing data than gathering it "
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     Workday APAC
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
It is breathing life into our existing energy resources and creating new opportunities. Better use of data has visible, tangible and immediate results. It is helping energy companies become safer, more reliable and more efficient. This is good for both our wallets and our planet. For more information visit: www.ibm.com/energy or watch our webinar here
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     Group M_IBM Q4'19
By: Infinidat EMEA     Published Date: May 14, 2019
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
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     Infinidat EMEA
By: Selligent Marketing Cloud     Published Date: Sep 24, 2019
The main rule for acing your back-to-school marketing is basically the same as any math or history exam: Come prepared. And in 2019, with so much digital technology in the hands of consumers, it also helps to be willing to experiment. Make sure to keep an eye on results throughout the season and focus on what works. With a flexible omnichannel platform like Selligent Marketing Cloud, you can make changes on the fly and adjust your initiatives as needed, also supported by marketing-specific A.I.
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     Selligent Marketing Cloud
By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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     SAS
By: Quovant     Published Date: Oct 01, 2019
Even with the greatest level of talent on your in-house legal team, you will at some point, need the services of external counsel. When an organization rates its outside law firms, selecting just the right data might be a challenge. Business leaders may not be lawyers, so it may be necessary to rely on the self-assessment of firms to determine the “health” of their programs. But does it need to be that subjective? Hard data is an essential tool when it comes to performance evaluation. There are specific metrics organizations can use to evaluate law firm performance. While it may not be “all about the money,” these key metrics can provide insight into how your panel handles its work and the value of the results you receive.
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     Quovant
By: BetterUp     Published Date: Mar 06, 2019
As HR investments become more data-driven, coaching must deliver on its ROI evidence gap. At BetterUp, we’ve created a model that can effectively measure the impact of coaching on the bottom line. Learn how coaching ROI has been measured in the past, and why these methods are flawed. Discover which inputs are factored into our ROI algorithm and you can map the ROI of coaching to tangible business results.
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     BetterUp
By: Genesys     Published Date: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes. Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include: • Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI • 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance • In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year • Europe
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     Genesys
By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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     Genesys
By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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     Genesys
By: PatSnap     Published Date: Sep 27, 2019
IP professionals require the utmost precision, flexibility, and speed in their workflows. However numerous challenges around disparate sources and tools can delay the IP process. This eBook lays out IP best practices online that will streamline various workflows to drive accurate and effective results, effortlessly. These are: 1. Performing more efficient patent searches 2. Unlocking value from patent portfolios 3. Structuring effective patent landscapes 4. Building more revealing reports 5. Mitigating bottlenecks via collaboration
Tags : research and development, intellectual property, innovation
     PatSnap
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