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Results 476 - 494 of 494Sort Results By: Published Date | Title | Company Name
Published By: AWS     Published Date: Nov 12, 2018
VMware Cloud on AWS makes it easier for your organization to run VMware workloads on AWS, giving you a simple path to hybrid cloud deployment. Adopting this service will allow your organization to preserve your investments in existing applications, licenses, and processes, while taking advantage of the advanced capabilities that AWS has to offer. With just a few clicks, you will be able to rapidly provision and scale AWS resources that are operationally consistent with vSphere. VMware Cloud on AWS delivers workload portability powered by the VMware technology in your on-premises data center, combined with the cloud-scale resources and global footprint of AWS. It is truly a next-generation solution that gives you the best of both worlds.
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AWS
Published By: Veracode     Published Date: Oct 26, 2016
Web application attacks are now the most frequent pattern in confirmed breaches, and organizations know that application security is key to protecting their data. But many organizations lack the resources to develop a comprehensive AppSec program, and need to look to external services. Download this guide for a straightforward, four-step method for acquiring the services you need to support a comprehensive AppSec program.
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veracode, application security, sans, security, enterprise applications
    
Veracode
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: Oct 26, 2017
Many organizations face access management chaos. As applications and resources have spread across on-premise data centers and multiple cloud providers, users are often accessing these resources from anywhere and on multiple devices. These simultaneous trends have left access management systems fragmented and access polices inconsistent, resulting in an environment that is expensive to maintain and challenging to secure.
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access management, integrated platform, cloud security, enterprise security, data security
    
IBM
Published By: CrowdStrike     Published Date: Aug 01, 2017
The frequency of “mega breaches” continues to rise at an alarming rate. In fact, crippling incidents involving tens of millions of customer records, theft of highly valuable intellectual property, and related criminal activity have become commonplace. This report asserts that many such breaches could be prevented by deploying next-generation endpoint protection technology in concert with an aggressive proactive hunting strategy. This potent combination provides the most effective means to reduce attack surfaces and defend against advanced adversaries.Download the white paper to:?Learn how a proactive hunting strategy protects valuable data assets from a potential mega breach?Get a detailed analysis of how highly skilled human hunters pair with technology to aggressively seek out threat behaviors?Understand why integrating CrowdStrike Falcon Overwatch into an organization’s existing security resources offers the most comprehensive protection against persistent and skilled adversaries?Fi
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CrowdStrike
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Datastax     Published Date: Sep 27, 2019
Every holiday season sets new records for database traffic, and old-guard database architectures simply aren't up to the task. In this white paper, you'll learn how to ensure your enterprise thrives under the year-end pressure—without wasting resources by overprovisioning.
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Datastax
Published By: Juniper Networks     Published Date: Jun 29, 2017
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers. The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Juniper Networks
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
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Group M_IBM Q4'19
Published By: HERE Technologies     Published Date: Feb 12, 2019
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers. Download the eBook
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location data, transport & logistics, location services
    
HERE Technologies
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, it’s critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec
Published By: RMS     Published Date: Jul 18, 2019
When evaluating single risks, underwriters and coverholders typically have to request exposure analytics from their portfolio managers and brokers, or gather their own supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones, through to lookups on Google Maps. But all this takes valuable time, requires multiple user licenses and can generate information that is inconsistent with the underlying modeling data at the portfolio level.
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RMS
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