corporate data

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Published By: Dell EMC     Published Date: Feb 23, 2017
Business leaders are increasingly looking to IT to deliver a mobile workspace that allows employees to access corporate data, applications, and communication resources on their devices of choice. But making the most of the opportunity while minimizing risks can be complex and overwhelming for many IT teams. Therefore, it makes more sense than ever for IT leaders to consider virtual client computing (VCC), also commonly referred to as virtual desktop infrastructure (VDI) solutions.
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Dell EMC
Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: IBM     Published Date: Mar 30, 2017
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 its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as extract, transfer and load (ETL), data replication or data virtualization.
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data integration, data security, data optimization, data virtualization, database security
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Learn how to protect corporate data when users use personal devices for work. The rapid proliferation of mobile devices entering the workplace appears to be like divine intervention to many IT leaders. Mobile devices and their apps have transformed the way we live – how we communicate, travel, shop, work and so much more. This mobility transformation has been so radical, so revolutionary, that it is hard to imagine life without these devices. Bring Your Own Device (BYOD) was born and employees followed with fervor.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: Lookout     Published Date: Mar 28, 2017
The modern organization has recognized the need to embrace mobile devices in the workplace. Some have fully implemented a bring-your-own-device (BYOD) program, while some have adopted a hybrid model of corporateowned and personally-enabled (COPE) devices. Many companies then choose to deploy an Enterprise Mobility Management (EMM) or Mobile Device Management (MDM) solution to enable some control of the mobile devices that access corporate data.
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mobile, security, modern, organizations, byod, lookout
    
Lookout
Published By: Lookout     Published Date: Aug 28, 2017
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
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data protection, mobile risks, productivity tools, cyber attacks, device vulnerabilities
    
Lookout
Published By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
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VMware
Published By: Host Analytics     Published Date: Aug 01, 2017
Summary Strategic corporate performance management solutions support the office of finance's efforts to manage organizational performance and strategy. Application leaders should use this Magic Quadrant to identify vendors that are a good match for their business needs. Strategic Planning Assumptions By 2020, at least 75% of organizations will seek to improve the accuracy and actionability of financial planning and analysis by using operational data from multiple business domains. By 2020, at least 25% of organizations will achieve more collaborative, continuous and consistent financial planning and performance management by closely linking key operational and financial planning processes.
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Host Analytics
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices: • Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices? • Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor? • Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets? Discover how to optimize your NC Machine Shop Production, minim
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Dassault Systèmes
Published By: Redstor UK     Published Date: May 02, 2018
Many organisations are facing challenges relating to the unstructured data they hold. By its very nature, unstructured data is in a form that is difficult to manage, and it is growing rapidly in size. This can make it difficult to understand who owns that data, whether it is being used or even whether it is of any value. Industry forecasts indicate the volume of data generated by corporates is expected to double over the next three years and, with General Data Protection Regulation taking effect in May 2018, organisations need a more efficient way to manage and control this data. This White Paper provides an overview of the important technical considerations senior business and IT management teams need to review before choosing an archiving provider.
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Redstor UK
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
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