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Results 26 - 50 of 91Sort Results By: Published Date | Title | Company Name
Published By: Hitachi Vantara     Published Date: Apr 12, 2018
Not applications. Not infrastructure. Data. Innovate faster with data services from Hitachi Vantara. Regardless of Where You Are on the Path to Transformation – Get There Faster With Hitachi Hitachi Vantara is the only data company with advanced data services for every type of data, from any application, on any vendor’s solution and for any need. Partner With Hitachi To Master Your Digital Transformation.
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Hitachi Vantara
Published By: IBM     Published Date: Jul 09, 2014
If you're unhappy with the state of your current disaster recovery operations, this Q and A is a must-read. IBM cloud experts share information on how cloud computing can provide nearly instantaneous failover and failback of critical business applications. This type of speedy recovery keeps your organization running in the event of disaster or disruption, limiting the risk of business losses and brand damage.
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ibm, disaster recovery, disaster recovery solution, cloud technology, it operation, restoration, disaster as a service, draas
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
If you're unhappy with the state of your current disaster recovery operations, this Q and A is a must-read. IBM cloud experts share information on how cloud computing can provide nearly instantaneous failover and failback of critical business applications. This type of speedy recovery keeps your organization running in the event of disaster or disruption, limiting the risk of business losses and brand damage.
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disaster recovery operations, cloud technologies, cloud computing, critical business aplplications, it management
    
IBM
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
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src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract
    
SRC,LLC
Published By: Trend Micro SaaS     Published Date: Feb 09, 2009
Today's confidentiality and privacy requirements drive organizations of all sizes and industries to secure sensitive data in email. Often particular types of data need to be encrypted, such as credit card numbers, intellectual property, or client information. Organizations also need to protect confidential emails for particular groups, such as executive management, human resources or legal departments. Many organizations are turning to policy-based encryption to meet their encryption needs because it automatically encrypts data using content filtering rules that identify types of content or email for particular groups. Encryption is applied when the rules are triggered. With policy-based encryption, organizations avoid relying on individual users to secure important content.
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saas, trend, trend micro, software as a service, trendlabs, email security, security, interscan messaging
    
Trend Micro SaaS
Published By: Mimecast     Published Date: Apr 04, 2013
Enterprise information archiving is contributing to organizational needs for e-discovery and compliance requirements, and reducing primary storage costs. Gartner evaluates vendors offering products and services that provide archiving for email, files and other content types.
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enterprise, information archiving, email, ediscory, compliance, primary storage costs, roi, storage
    
Mimecast
Published By: SAP     Published Date: Sep 19, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: Liaison Technologies     Published Date: Feb 07, 2014
Data integration and management can pave the way for quick realization of M&A success and time-to-value for every transaction. Have you looked into M&A?
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liaison, data integration, data management, it resources, business continuity, systems and processes, autonomous acquisitions, information segregation
    
Liaison Technologies
Published By: IBM Watson Health     Published Date: Dec 11, 2017
mation that’s consistent and comes from a single source, and information that’s easy to find and access. Additionally, the tool should provide access from multiple types of devices and the vendor should offer ongoing training and support. The best vendors will provide not only initial
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clinical solutions, clinical decision support solution, clinical decision tool, technical support, optimized care, evidence-based recommendations, clinical solution vendor, drug reference
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Dec 13, 2017
Clinical decision support solutions are critical to delivering quality care, but how do you know which tools are most effective? In this video, David Bordewyk, national director for clinical solutions at Truven Health, explains five considerations for evaluating current or prospective solutions. First, the tool should provide evidence-based, actionable recommendations. Learn how to determine whether that’s the case, as well as how to identify tools that provide comprehensive information, information that’s consistent, and information that’s easy to find and access. Additionally, the tool should provide access from multiple types of devices and the vendor should offer ongoing user training and support.
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clinical solutions, clinical decision support solution, clinical decision tool, technical support, optimized care, evidence-based recommendations, clinical solution vendor, drug reference
    
IBM Watson Health
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018. Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage? • Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
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Group M_IBM Q418
Published By: Forcepoint     Published Date: May 14, 2019
Cloud Connectivity and Security for Every Branch With each new branch and remote employee, your distributed networks become more complex, and your organization’s digital transformation continues moving full speed ahead. Traditional networking and security infrastructures often buckle under the pressure. In this ebook, Guide to Cloud Connectivity and Security in Distributed Networks, we’ll share a better approach. Integrating connectivity and security, and moving them to the cloud, can help you achieve higher productivity, reduce cost, and ease compliance. Specific topics include: Ways to augment or replace expensive MPLS for more powerful connectivity Types of security every internet-connected site needs for holistic protection Advantages of an integrated solution over a patchwork of point products Read our ebook for more on how to connect and protect across your distributed networks.
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Cloud Connectivity and Security for Every Branch With each new branch and remote employee, your distributed networks become more complex, and your organization’s digital transformation continues moving full speed ahead. Traditional networking and security infrastructures often buckle under the pressure. In this ebook, Guide to Cloud Connectivity and Security in Distributed Networks, we’ll share a better approach. Integrating connectivity and security, and moving them to the cloud, can help you achieve higher productivity, reduce cost, and ease compliance. Specific topics include: Ways to augment or replace expensive MPLS for more powerful connectivity Types of security every internet-connected site needs for holistic protection Advantages of an integrated solution over a patchwork of point products Read our ebook for more on how to connect and protect across your distributed networks.
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Cloud Connectivity and Security for Every Branch With each new branch and remote employee, your distributed networks become more complex, and your organization’s digital transformation continues moving full speed ahead. Traditional networking and security infrastructures often buckle under the pressure. In this ebook, Guide to Cloud Connectivity and Security in Distributed Networks, we’ll share a better approach. Integrating connectivity and security, and moving them to the cloud, can help you achieve higher productivity, reduce cost, and ease compliance. Specific topics include: Ways to augment or replace expensive MPLS for more powerful connectivity Types of security every internet-connected site needs for holistic protection Advantages of an integrated solution over a patchwork of point products Read our ebook for more on how to connect and protect across your distributed networks.
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Forcepoint
Published By: SAS     Published Date: Aug 03, 2016
From midsize companies and government organizations to global banks and professional sports teams, all types of organizations are using data visualization to help make sense of their data and to comprehend information quickly. Keep reading to learn how six organizations of all types and sizes are using data visualization to improve customer relationships, fight fraud and more.
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data visualization, data, technology, fraud, security, data center
    
SAS
Published By: Adobe     Published Date: May 15, 2018
Adobe article that condenses/highlights key findings from the Econsultancy Digital Marketing in the Financial Services and Insurance Sector 2017 Study, an in-depth, 5000+ word report covering FSI executives’ opinions on: – General trends in retail banking, investment banking, and insurance – Internal structures their companies are using to execute digital transformation – The biggest threats/disruptions in the industry – The biggest priorities in 2017 (leaders are focusing on both customer retention and customer acquisition, mainstream is focusing just on customer retention) – Main sources of sales and leads (digital + mobile are steadily increasing sources) – Digital marketing budgets & investment areas (leaders are investing more in digital marketing automation and analytics) – Use of the cloud and AI to automate analysis and marketing – The importance of multichannel personalization – Innovation in the types/formats of products/services provided (leaders are focusing on imp
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Adobe
Published By: Adobe     Published Date: Apr 23, 2018
Adobe article that condenses/highlights key findings from the Econsultancy Digital Marketing in the Financial Services and Insurance Sector 2017 Study, an in-depth, 5000+ word report covering FSI executives’ opinions on: – General trends in retail banking, investment banking, and insurance – Internal structures their companies are using to execute digital transformation – The biggest threats/disruptions in the industry – The biggest priorities in 2017 (leaders are focusing on both customer retention and customer acquisition, mainstream is focusing just on customer retention) – Main sources of sales and leads (digital + mobile are steadily increasing sources) – Digital marketing budgets & investment areas (leaders are investing more in digital marketing automation and analytics) – Use of the cloud and AI to automate analysis and marketing – The importance of multichannel personalization – Innovation in the types/formats of products/services provided (leaders are focusing on i
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Adobe
Published By: Schneider Electric     Published Date: Apr 23, 2019
The fourth industrial revolution is well underway. It focuses on digital transformation and creation of the Industrial Internet of Things (IIoT). A key part of this revolution is technology that enables new realities—including virtual reality (VR), augmented reality (AR), and mixed reality (MR). These new realities are already being applied in industrial settings and are poised to grow exponentially in the next few years. This storyscape dives into use cases for each type of reality and presents the benefits of each in relation to industrial automation.
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augmented reality, industrial revolution
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 24, 2019
The fourth industrial revolution is well underway. It focuses on digital transformation and creation of the Industrial Internet of Things (IIoT). A key part of this revolution is technology that enables new realities—including virtual reality (VR), augmented reality (AR), and mixed reality (MR). These new realities are already being applied in industrial settings and are poised to grow exponentially in the next few years. This storyscape dives into use cases for each type of reality and presents the benefits of each in relation to industrial automation.
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augmented reality, industrial revolution
    
Schneider Electric
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: Intralinks     Published Date: Mar 12, 2014
The implications of data loss are significant. Organizations that ignore the law affecting collaboration and information sharing are at serious risk of litigation, fines and brand damage. The paradigm shift from organizationally-defined to user-defined information governance is making it that much more difficult to maintain control of business activity and data. This informative white paper by legal firm Field Fisher Waterhouse evaluates the legal risks of uncontrolled collaboration and information sharing and what to do about them, while providing in-depth insights into: • Landmark incidents that have influenced data protection laws • How to navigate different jurisdictional privacy frameworks • Top 4 types of legal risk to protect against • Top 5 recommendations for implementing good governance
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data security, compliance, technology, network security, regulatory compliance, security, enterprise applications, data center
    
Intralinks
Published By: Eyeblaster, Inc.     Published Date: Apr 02, 2009
One of the big challenges faced by online marketers and agencies that handle large online budgets is maximizing conversions and optimizing online budgets at zero or minimum cost. This issue of the Eyeblaster Analytics Bulletin presents findings on conversions and a multitude of methods that can be deployed to ensure a better yield of successful digital campaigns.
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eyeblaster, click-thru rate, conversion rate, format type, conversion rate, rich media, data capture, ctr
    
Eyeblaster, Inc.
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