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By: IBM     Published Date: Nov 14, 2014
Join Gartner, Inc. and IBM Platform Computing for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.
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By: IBM     Published Date: Nov 14, 2014
Platform Symphony is an enterprise-class server platform that delivers low-latency, scaled-out MapReduce workloads. It supports multiple applications running concurrently so that organizations can increase utilization across all resources resulting in a high return on investment.
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By: IBM     Published Date: Nov 14, 2014
Platform HPC enables HPC customers to side-step many overhead cost and support issues that often plague open-source environments and enable them to deploy powerful, easy to use clusters.
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By: IBM     Published Date: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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By: IBM     Published Date: Feb 13, 2015
This demonstration shows how an organization using IBM Platform Computing workload managers can easily and securely tap resources in the IBM SoftLayer public cloud to handle periods of peak demand and reduce total IT infrastructure costs.
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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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By: IBM     Published Date: Feb 13, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers automated, policy-driven, application-aware storage services through orchestration of the underlining storage infrastructure in support of an overall software defined environment.
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By: IBM     Published Date: Feb 13, 2015
IBM® has created a proprietary implementation of the open-source Hadoop MapReduce run-time that leverages the IBM Platform™ Symphony distributed computing middleware while maintaining application-level compatibility with Apache Hadoop.
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By: IBM     Published Date: Feb 13, 2015
In the age of "big data," it's essential for any organization to know how to analyze and manage their ever increasing stores of information. Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
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By: IBM     Published Date: Feb 13, 2015
Organizations of all sizes need help building clusters and grids to support compute- and data-intensive application workloads. Read how the Hartree Centre is building several high-performance computing clusters to support a variety of research projects.
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By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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By: Google     Published Date: Dec 03, 2018
This Forrester research looks at how 7 full-stack public cloud development platform providers perform against a 31-criteria evaluation. The most important vendors — Alibaba, AWS, CenturyLink, Google, IBM, Microsoft, and Oracle — were researched, assessed, and scored. Download the complete report and find out how each provider measures up and helps application development and delivery professionals make the right choices.
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By: IBM Watson Health     Published Date: Dec 11, 2018
This one-page interview describes the importance of providing clinicians with access to evidence-based information and discusses how artificial intelligence can help deliver that information quickly at the point-of-care.
Tags : hospitals, health systems, artificial intelligence, data, cognitive insights, value-based care, evidence-based, healthcare technology
     IBM Watson Health
By: Group M_IBM Q119     Published Date: Dec 20, 2018
We are renegades and realists who blend strategy, technology and creativity to tackle every client challenge. We imagine the businesses that will shape tomorrow’s world and help our clients make them real. We uncover insights from data that others can’t see and deliver progressive ideas through the use of IBM Design Thinking. We ground every strategy with a focus on delivering the ultimate experience – for customers, for employees, for shareholders. Everything we do drives measurable impact at scale. For more information, visit ibm.com/ibmix
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By: Group M_IBM Q119     Published Date: Dec 20, 2018
Car-sharing, ride-sharing and ride-hailing aren’t new. Uber and other personal mobility services have redefined how people move from place to place. And now these services are beginning to redefine traditional car ownership itself. As people move from one vehicle to another, their personal information and preferences need to follow them, so the car they use feels like their own. Blockchain is defined as a shared, immutable ledger, and it can address many of the challenges that new types of personal mobility present.
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By: Group M_IBM Q119     Published Date: Dec 20, 2018
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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By: Group M_IBM Q119     Published Date: Dec 20, 2018
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By: Group M_IBM Q119     Published Date: Dec 20, 2018
Over the years, IBM Resilient customers have increased their IR sophistication at various levels across a spectrum of maturity. Maturity levels are often necessitated by industry, available resources, or experience, but most IBM Resilient customers continually look to evolve their IR function into a more advanced phase.
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By: Group M_IBM Q119     Published Date: Dec 20, 2018
Security leaders across all industries face mounting challenges. Cyberattacks are continually growing in volume, complexity, and sophistication, and incident response (IR) teams are pushed to the limit of their time, skill, and resources. Additionally, the average Security Operation Center (SOC) uses more than 75 different security tools – making full visibility nearly impossible and integrating those tools challenging as well.
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By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital business is changing business models – and how we conduct business. It is both connecting and blurring the lines between the digital and physical worlds. It is changing how businesses communicate, transact and interact with customers, suppliers and partners. And it is accelerating the pace of business, in a world already operating 24/7.
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By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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By: Group M_IBM Q119     Published Date: Jan 08, 2019
IBM has established a global readiness programme tasked with identifying the key impacts of the GDPR across IBM’s business and preparing IBM’s internal processes and commercial offerings for compliance with the GDPR.
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By: Group M_IBM Q119     Published Date: Jan 10, 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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By: Group M_IBM Q119     Published Date: Jan 10, 2019
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