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Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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Hitachi Vantara
Published By: HP and Intel® Xeon® processors     Published Date: Nov 30, 2011
Hear how ESG defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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storage, data center, environment, mainframes, servers, complexity, virtual machines, cloud
    
HP and Intel® Xeon® processors
Published By: HPE Intel     Published Date: Jan 11, 2016
A famous architect once said that the origin of architecture was defined by the first time “two bricks were put together well.” And the more bricks you have, the more important putting them together well becomes. The same holds true in our data centers. The architecture of our compute, storage and network devices has always been important, but as the demands on our IT infrastructures grow, and we add more “bricks,” the architecture becomes more critical.
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HPE Intel
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Simply put, software defined storage is the abstraction of storage services from storage hardware. This term is more than just marketing hype, it’s the logical evolution of storage virtualization from simply being a storage aggregator to the end goal of storage as a service. To achieve this goal, software defined storage needs a platform from which to centralize.
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ibm, storage switzerland, storage platform, sds, software defined storage, data center, storage virtualization, data protection
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology, it management
    
IBM
Published By: IBM     Published Date: Sep 04, 2014
This IDC Technology Spotlight paper takes a look at why Email remains the primary mode of communication in business today. While there is prevalent speculation that social software and other real-time communications applications will replace email, email nevertheless remains a stalwart in business operations. In addition, as relationships across all business communication channels continue to be redefined, innovative modes and methods of communication are emerging. As a result, locating the right data and information at the right time — while still critical — becomes increasingly complex. IDC expects that organizations will use social software, such as Notes and Domino 9x Social Edition, to complement existing tools and address these business needs for the foreseeable future.
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ibm, collaboration, email communication, real time communication, business communication, social software
    
IBM
Published By: IBM     Published Date: Oct 07, 2014
This condensed version ebook examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
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ibm, software defined storage, storage, data storage, data management, it management
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
This white paper explores IBM’s vision for the next-generation data center, its potential to be truly revolutionary and the prescribed pathway for getting there.
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service optimization, software defined environment, next-generation data center, data management, business technology
    
IBM
Published By: IBM     Published Date: Nov 13, 2014
This IDC Technology Spotlight paper takes a look at why Email remains the primary mode of communication in business today. While there is prevalent speculation that social software and other real-time communications applications will replace email, email nevertheless remains a stalwart in business operations. In addition, as relationships across all business communication channels continue to be redefined, innovative modes and methods of communication are emerging. As a result, locating the right data and information at the right time — while still critical — becomes increasingly complex. IDC expects that organizations will use social software, such as Notes and Domino 9x Social Edition, to complement existing tools and address these business needs for the foreseeable future.
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email capabilities, integration, social software, business operations, it management, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Voice of the customer (VOC) is a market research technique defined as the process of capturing a customer's expectations, preferences and aversions. Ideally, Voice of the Customer analysis produces a detailed set of customer wants and needs that is prioritized by company objectives or strategic goals. What has changed significantly is the volume and number of data sources and channels, inclusive of mobile device, kiosk, POS and tablet that are able to feed into the analysis of contextual VOC information via enabling VOC software, services and technologies.
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market research, new technique, market analysis, customer preferences
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
This white paper highlights IBM’s vision for the next-generation data center, its potential to be truly revolutionary and the prescribed pathway for getting there.
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data center, mobility, software defined environment, service optimization, business solutions, data center security, compliance, automating protective measures
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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ibm, cloud, analytics, mobile, social, security, infrastructure, data center
    
IBM
Published By: IBM     Published Date: Oct 06, 2015
An IBM infographic highlighting the infrastructure implications of today’s converging technology forces and the software defined, data center transformation essential to capitalizing on them.
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ibm, data center, software defined data center, data center transformation, it management
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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data center, cloud computing, analytcs, mobile, social, cyber security, ibm
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
Ziff Davis Custom Whitepaper: Analytics relies on BI, Big Data, and data discovery to provide reporting, trend analysis, and what-if analysis.iii Analytics is defined as the scientific process of transforming data into insight for making better decisions.
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ibm, business analytics, business intelligence, agile, decision making, big data, business technology
    
IBM
Published By: IBM     Published Date: Nov 07, 2016
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
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ibm, platform computing, software defined infrastructure, business technology
    
IBM
Published By: IBM     Published Date: Oct 28, 2016
Watch this complimentary, on-demand 30 minute demo to see how you can: - Use HR analytics to redefine the way you manage your talent and help drive better business results. - Gain deep insights from your talent data without having to dig through mountains of reports. - Know exactly what data to explore to get the very best answers to your talent questions. - Answer your CEO's questions about the workforce in minutes, not months.
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ibm, kenexa, talent insights, talent analytics, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: IBM     Published Date: May 22, 2017
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
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cloud privacy, cloud security, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
Not long ago, job roles were relatively easy to define and control. A person was an “accountant” or a “graphic designer” or a “business partner.” But as organizations grew and business software became more sophisticated, new roles were added. “Accountant, New York” might require different access to applications and data than “Accountant, Chicago.” The challenge comes from the recent explosion in the numbers and types of business roles.
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identity governance, entitlements, authorized users, orphan accounts, business activities
    
IBM
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