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Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center. In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.
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data, storage, decision makers, hpe
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 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.
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financial, optimization, hpe, predictive, analytics
    
Hewlett Packard Enterprise
Published 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.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: Oracle ZDLRA     Published Date: Jan 10, 2018
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
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data protection, backup speed, recovery, overhead, assurance, storage, efficiency, oracle
    
Oracle ZDLRA
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Pure Storage     Published Date: Jan 12, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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data, storage, scalability, cost efficiencies, pure storage
    
Pure Storage
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: CA Technologies     Published Date: Jul 20, 2017
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
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CA Technologies
Published By: Akamai Technologies Australia     Published Date: Feb 08, 2018
Websites provide online businesses with an unprecedented level of contact with customers and end users. However, they also place business information where it can be easily accessed by third parties – often using automated tools known as “bots”. For many organizations, bots represent up to 50% or more of their overall website traffic, from good bots engaged in essential business tasks to bad bots conducting fraudulent activities. Regardless of business impact, bot traffic can reduce website performance for legitimate users and increase IT costs. Organizations need a flexible framework to better manage their interaction with different categories of bots and the impact that bots have on their business and IT infrastructure.
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control, visibility, customer, financial risk, web fraud, bots, infrastructure
    
Akamai Technologies Australia
Published By: Oracle Dyn     Published Date: Dec 06, 2017
DNS speed and reliability are fundamental to the performance of your website and essential to your business. Contact Dyn today to learn how a supplemental DNS service can help you optimize DNS performance and improve user experiences. We can help you determine which multi- DNS option is best for your business and assist with planning and service integration efforts.
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dns, service, management, traffic, vendors, delegation, protocol, traffic
    
Oracle Dyn
Published By: Oracle Dyn     Published Date: Dec 06, 2017
Creating a highly scalable, reliable, and efficient DNS infrastructure takes time, money, and expertise. You can accelerate your success and contain costs with a cloud-based service. Cloud-based DNS also exposes myriad opportunities to leverage the DNS infrastructure for global load balancing and traffic steering across hybrid environments.
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dns, performance, reliability, network, global, anycast, customer, satisfaction
    
Oracle Dyn
Published By: TE Connectivity     Published Date: Feb 09, 2018
TE Connectivity (TE) high-performance relays, contactors and switches are designed specifically to operate in extremely rigorous environments in military and aerospace applications. Our relay products include COTS (commercial off-the-shelf), Mil-Spec, plus highly specialized, and custom-designed products. These high-performance products are designed to withstand extreme shock, vibration, temperature and altitude.
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TE Connectivity
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm, cloud, cloud computing, database, ibm db2
    
IBM
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm db2, cloud, on-cloud applications, mixed-workload database
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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cloud applications, database, data volume, data availability
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 15, 2018
Hamilton County used text analytics to assess different types of teacher training against subsequent student progress and performance.
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graduation rates, student progress, text analytics
    
Group M_IBM Q1'18
Published By: Oracle     Published Date: Feb 21, 2018
Oracle allows you to migrate any workload to the cloud, setting the stage for a new era of cloud-based data, applications, and infrastructure. Find out how your organization can transition to a secure, scalable, high-performance public cloud—quickly, easily, and with no interruption to your business operations.
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Oracle
Published By: Oracle     Published Date: Feb 21, 2018
To succeed in the extremely competitive environment of today’s healthcare industry, your organization needs a strong foundation. These technology best practices for enterprise resource planning (ERP), human capital management (HCM), and enterprise performance management (EPM) are a great starting point and can help you transform the way your organization navigates this rapidly changing industry.
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Oracle
Published By: Zebra ABM     Published Date: Dec 14, 2017
Meet the demands of your highest-volume POS lanes with Zebra MP7000 next generation multi-plane 1D/2D imager. The MP7000 is loaded with features that take scanning performance and simplicity to the next level, enabling faster-than-ever checkout in cashier-manned and self-checkout lanes, improving cashier productivity, POS throughput and the shopper experience. A smart investment, the MP7000 offers an unmatched industry-best total cost of ownership (TCO) by delivering maximum uptime and minimum power consumption in an easy-to-service design with fewer parts and components. And with Zebra's complimentary powerful management applications, you can remotely manage all of your MP7000s, no matter where they are located.
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scanner, customer, productivity, mp7000, tco, total cost of ownership
    
Zebra ABM
Published By: Zebra ABM     Published Date: Dec 14, 2017
The MP7000 is loaded with features that take scanning performance and simplicity to the next level for faster checkout lanes, increased cashier productivity and POS throughput — and a better shopping experience. To learn more about the MP7000, go to: https://goo.gl/693u8o.
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zebra technologies, mp7000, multi, plane, scanner, webinar
    
Zebra ABM
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
À l’heure où les entreprises traditionnelles s’emploient à copier les pionniers d’Internet sur le terrain de l’agilité et de l’innovation, le développement d’applications devient de plus en plus complexe. Tout d’abord, les codes source monolithiques sur lesquels reposent traditionnellement les applications d’entreprise ralentissent le lancement de nouveaux services. Quant au cloisonnement et à la dispersion des équipes opérationnelles et de développement, ils provoquent un manque de coordination des actions de chacun en interne. Et pour couronner le tout, les utilisateurs sont plus exigeants que jamais sur les questions d’expérience et de performance. Les entreprises doivent donc assurer une scalabilité efficace et un suivi attentif de leurs environnements. Le tout, bien entendu, sur fond de disponibilité à 100 % des services.
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AstuteIT_ABM_EMEA
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
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