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Published By: DATAVERSITY     Published Date: Jul 24, 2014
Will the “programmable era” of computers be replaced by Cognitive Computing systems which can learn from interactions and reason through dynamic experience just like humans? With rapidly increasing volumes of Big Data, there is a compelling need for smarter machines to organize data faster, make better sense of it, discover insights, then learn, adapt, and improve over time without direct programming. This paper is sponsored by: Cognitive Scale.
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data, data management, cognitive computing, machine learning, artificial intelligence, research paper
    
DATAVERSITY
Published By: SAP     Published Date: May 19, 2016
SAP® solutions for enterprise information management (EIM) support the critical abilities to architect, integrate, improve, manage, associate, and archive all information. By effectively managing enterprise information, your organization can improve its business outcomes. You can better understand and retain customers, work better with suppliers, achieve compliance while controlling risk, and provide internal transparency to drive operational and strategic decisions.
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SAP
Published By: Embarcadero     Published Date: Oct 21, 2014
Metadata defines the structure of data in files and databases, providing detailed information about entities and objects. In this white paper, Dr. Robin Bloor and Rebecca Jowiak of The Bloor Group discuss the value of metadata and the importance of organizing it well, which enables you to: - Collaborate on metadata across your organization - Manage disparate data sources and definitions - Establish an enterprise glossary of business definitions and data elements - Improve communication between teams
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data, data management, enterprise data management, enterprise information management, metadata, robin bloor, rebecca jozwiak, embarcadero
    
Embarcadero
Published By: MarkLogic     Published Date: Aug 04, 2014
The Age of Information and the associated growth of the World Wide Web has brought with it a new problem: how to actually make sense of all the information available. The overarching goal of the Semantic Web is to change that. Semantic Web technologies accomplish this goal by providing a universal framework to describe and link data so that it can be better understood and searched holistically, allowing both people and computers to see and discover relationships in the data. Today, organizations are leveraging the power of the Semantic Web to aggregate and link disparate data, improve search navigation, provide holistic search and discovery, dynamically publish content, and complete ETL processes faster. Read this white paper to gain insight into why Semantics is important, understand how Semantics works, and see examples of Semantics in practice.
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data, data management, whitepaper, marklogic, semantic, semantic technology, nosql, database, semantic web, big data
    
MarkLogic
Published By: CA Technologies     Published Date: Apr 24, 2013
Using ERwin Data Modeler & Microsoft SQL Azure to Move Data to the Cloud within the DaaS Lifecycle by Nuccio Piscopo Cloud computing is one of the major growth areas in the world of IT. This article provides an analysis of how to apply the DaaS (Database as a Service) lifecycle working with ERwin and the SQL Azure platform. It should help enterprises to obtain the benefits of DaaS and take advantage of its potential for improvement and transformation of data models in the Cloud. The use case introduced identifies key actions, requirements and practices that can support activities to help formulate a plan for successfully moving data to the Cloud.
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CA Technologies
Published By: Semantic Arts     Published Date: Aug 01, 2013
This White Paper explains how Semantic Technology can help organizations leverage their legacy investments into new solutions through the use of a Semantic Layer so they can improve IT productivity by reducing complexity, thereby reducing total cost of ownership.
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white paper, semantic technology, data, data management
    
Semantic Arts
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: AT&T     Published Date: Sep 11, 2014
The age of Big Data is upon us. Storage costs are going down, and data analytics is becoming more capable and more user-friendly. Even your auto mechanic will be storing a petabyte of data soon. Big Data will give businesses new insights and help improve operations. With these new tools come questions about how to use them. But your mechanic knows more about fixing a transmission than developing a Hadoop cluster, and similar concerns hold true for larger enterprises. Businesses everywhere are looking for guidance.
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AT&T
Published By: Melissa Data     Published Date: Mar 23, 2017
In this eBook published by Melissa, author David Loshin explores the challenges of determining when data values are or are not valid and correct, how these values can be corrected, and how data cleansing services can be integrated throughout the enterprise. This Data Quality Primer eBook gives an overview of the five key aspects of data quality management (data cleansing, address data quality, address standardization, data enhancement, and record linkage/matching), as well as provides practical aspects to introduce proactive data quality management into your organization.
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Melissa Data
Published By: Experian     Published Date: May 17, 2016
Every year, Experian Data Quality conducts a study to look at the global trends in data quality. This year, research findings reveal how data practitioners are leveraging and managing data to generate actionable insight, and how proper data management is becoming an organization-wide imperative. This study polled more than 1,400 people across eight countries globally from a variety of roles and departments. Respondents were chosen based on their visibility into their orgazation's customer data management practices. Read through our research report to learn: - The changes in channel usage over the last 12 months - Expected changes in big data and data management initiatives - Multi-industry benchmarks, comparisons, and challenges in data quality - And more! Our annual global benchmark report takes a close look at the data quality and data management initiatives driving today's businesses. See where you line up and where you can improve.
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Experian
Published By: IDERA     Published Date: Feb 06, 2017
Data modeling can provide tangible economic benefits, which are best shown by quantifying the traditional benefits of data modeling. In this whitepaper, Tom Haughey discusses how to calculate the return on investment (ROI) of data modeling by assessing the economic value of real data modeling benefits, such as improved requirements definition, reduced maintenance, accelerated development, improved data quality and reuse of existing data assets. Download this whitepaper to learn how to: - Describe the value proposition of data modeling - Assess the economic value of data modeling benefits - Learn three methods to calculate data modeling ROI
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IDERA
Published By: Alteryx     Published Date: May 24, 2017
Spreadsheets are a mainstay in almost every organization. They are a great way to calculate and manipulate numeric data to make decisions. Unfortunately, as organizations grow, so does the data, and relying on spreadsheet-based tools like Excel for heavy data preparation, blending and analysis can be cumbersome and unreliable. Alteryx, Inc. is a leader in self-service data analytics and provides analysts with the ability to easily prep, blend, and analyze all data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. This paper highlights how transitioning from a spreadsheet-based environment to an Alteryx workflow approach can help analyst better understand their data, improve consistency, and operationalize analytics through a flexible deployment and consumption environment.
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Alteryx
Published By: Attivio     Published Date: Mar 14, 2018
Did you ever consider all of the examples of machine learning in your personal life? Google’s page ranking system, photo tagging on Facebook, and customized product recommendations from Amazon are all driven by machine learning under the hood. How do these same techniques improve productivity for your business? Search is the new data and content curation. Improved relevance translates to faster search results and better business outcomes across the line. Download the Five-Minute Guide to Machine Learning to find out how self-learning technologies drive increasingly relevant answers and better context for cognitive search.
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Attivio
Published By: Data Blueprint     Published Date: Apr 02, 2014
Organizations maintain data-based assets in hopes of successfully employing them in support of strategy. In an attempt to provide valued products and/or services, a customer relationship management (CRM) strategy should attempt to improve what is known about the wants and needs of existing customers. An organization may desire to transfer its inventory to its suppliers and to only play the role of transaction broker. A third strategy might be to use data to obtain significant efficiencies from productions/operations, ensuring a low cost advantage.
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data, data management, data value, return on investment, white paper
    
Data Blueprint
Published By: Semarchy     Published Date: Aug 18, 2016
David Loshin reexamines the way we ingest, manage, consume, and transform data into actionable information and intelligence. Read how this industry expert makes the case for data governance with an unconventional business-first focus. The conventional wisdom on data governance proposes hierarchies, operating models, and processes for data policy definition and implementation. Unfortunately, poorly-designed and minimally-planned data governance processes are ineffective because they are bureaucratic and overwhelming. This is especially true when processes are imposed by fiat, take a long time, and don't result in any short-term improvement in information value. But proper data governance is a critical success factor for master data management! In this paper, we examine the motivations for coupling data governance with master data management and consider how to evolve data policies and processes to position master data management for success.
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Semarchy
Published By: Cisco EMEA Tier 3 ABM     Published Date: May 15, 2018
Your employees, customers, and partners need the ability to connect and collaborate, at any time, from any location—across time zones or simply across the conference table. And those workplaces are expanding faster than ever, powered by mobile and cloud usage that makes virtual meetings essential. With scalable and secure voice, video, and content sharing, real-time collaboration can happen anywhere. Staying connected can lead to improved productivity and faster decision-making, as well as better customer service. But only if the technology offers a seamless experience and is intuitive enough to drive user adoption. While the need for better meetings is universal, not all conferencing tools are the same. Choosing the wrong tool could actually decrease productivity by wasting valuable meeting time troubleshooting the technology, or by providing a negative experience that will deter users from embracing it. This is especially true in situations where poor meeting quality could impact
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Cisco EMEA Tier 3 ABM
Published By: Akamai Technologies     Published Date: Apr 25, 2018
96% of users see app performance as important. A fast mobile app helps your app stand out from the rest to attain for the coveted title of “go-to” app. Download this guide to learn: The new benchmark: User expectation of an app’s response time The five key barriers to mobile app performance How to accelerate APIs and optimize image performance without expensive infrastructure or complex development work How advancements in CDN technology beyond basic caching can help improve performance
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mobile, app, performance, barriers
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Apr 25, 2018
96% of users see app performance as important. A fast mobile app helps your app stand out from the rest to attain for the coveted title of “go-to” app. Download this guide to learn: The new benchmark: User expectation of an app’s response time The five key barriers to mobile app performance How to accelerate APIs and optimize image performance without expensive infrastructure or complex development work How advancements in CDN technology beyond basic caching can help improve performance
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mobile, app, performance, barriers
    
Akamai Technologies
Published By: Oracle     Published Date: Feb 28, 2018
There is no doubt that enterprise cloud is a new and improved IT strategy. Cloud services have proven to improve organizational agility and reduce the burden of IT infrastructure and cost. Moving to the cloud is no longer a question of “if” but “when” and “how.” Most enterprises we interviewed are moving to cloud in phases over time and matching workloads to their perceptions of a vendor’s cloud capabilities that will best support their objectives. Many will require the ability and flexibility to support multivendor cloud and multiple deployment choices (e.g., public cloud, private cloud, and hybrid cloud).
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cloud, enterprise, scale, infrastructure
    
Oracle
Published By: Akamai Technologies     Published Date: Apr 13, 2018
In The Top Technologies to Cure Mobile Performance, Forrester’s Mark Grannan elaborates on this reality and explains how firms can tackle the device, bandwidth, and location challenges to appeal to a users perception of performance. In this paper, Mark explains: Why a Delivery Tier is Necessary Why Perception of Performance is the Key Metric of Mobile Success How User Context Steers Performance Optimization Whether to Build or Buy Delivery Capabilities Why the Delivery Tier Alone is Not Enough to Improve Performance.
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technology, mobile, forrester, performance, optimization, device, bandwidth
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Apr 25, 2018
96% of users see app performance as important. A fast mobile app helps your app stand out from the rest to attain for the coveted title of “go-to” app. Download this guide to learn: The new benchmark: User expectation of an app’s response time The five key barriers to mobile app performance How to accelerate APIs and optimize image performance without expensive infrastructure or complex development work How advancements in CDN technology beyond basic caching can help improve performance
Tags : 
mobile, app, performance, barriers
    
Akamai Technologies
Published By: Akamai Technologies     Published Date: Apr 25, 2018
96% of users see app performance as important. A fast mobile app helps your app stand out from the rest to attain for the coveted title of “go-to” app. Download this guide to learn: The new benchmark: User expectation of an app’s response time The five key barriers to mobile app performance How to accelerate APIs and optimize image performance without expensive infrastructure or complex development work How advancements in CDN technology beyond basic caching can help improve performance
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mobile, app, performance, barriers
    
Akamai Technologies
Published By: Limelight     Published Date: Feb 16, 2018
People today expect to have a compelling, interactive, and engaging digital experience. Few companies can exist without a website. In a lot of cases, the Internet is the main stream for their customers to gather information, and the performance of their website directly affects their business. So, what measures can companies take to prevent site delays and improve performance? This white paper will explain the mechanism of a CDN and points to consider when selecting a CDN service.
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content delivery network, cdn, digital content delivery, mobile delivery, global content delivery, live streaming, video on demand, video delivery, website performance, website acceleration, digital rights management, drm
    
Limelight
Published By: Avanade DACH     Published Date: May 08, 2018
While there’s no hotter topic at the intersection of business and technology than AI, Avanade research shows that 88% of global business and IT decision-makers say they don’t know how to use AI, and 79% say that internal resistance limits their implementation of it. It doesn’t have to be this way. Human-centered AI, which focuses on augmenting the workforce to improve customer and employee experiences, can contribute directly to achieving business goals. This point of view discusses the ways your organization can take advantage of a human-centered AI approach, including redefining jobs and creating a digital ethics framework.
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Avanade  DACH
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