Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data automated

Results 76 - 100 of 115Sort Results By: Published Date | Title | Company Name
Published By: ProofSpace     Published Date: Aug 08, 2007
Digital signatures aren't enough. This paper posits that data integrity needs to be redefined within the context of a time-sensitive mechanism.
Tags : 
proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, time stamp
    
ProofSpace
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Qualys     Published Date: Jan 07, 2009
Choosing a solution for Vulnerability Management (VM) is a critical step toward protecting your organization's network and data. Without proven, automated technology for precise detection and remediation, no network can withstand the daily onslaught of new vulnerabilities that threaten security.
Tags : 
qualys, vm solution, vulnerability management, saas, database security, network patching, vulnerability patching, networking
    
Qualys
Published By: Qualys     Published Date: Jul 20, 2012
Vulnerability Management (VM) means systematically finding and eliminating network vulnerabilities. Choosing a solution for VM is a critical step toward protecting your organization's network and data. Without proven, automated technology for precise detection and remediation, no network can withstand the daily onslaught of new vulnerabilities that threaten security. This checklist from Qualys provides a 12 point shortlist of considerations to determine what solutions will work best for your organization.
Tags : 
technology, security, vulnerabilities, internet, virus, solutions, vulnerability management
    
Qualys
Published By: Qualys     Published Date: Apr 05, 2011
This guide explains how QualysGuard PC automates the "C" in GRCM by automatically scanning all assets, collecting operating system configuration and application access controls, mapping these to IT policy, and documenting compliance.
Tags : 
it data collection, it compliance, grcm controls, qualys, qualysguard pc, gcc, automated general computer control, legacy
    
Qualys
Published By: Quocirca     Published Date: Jul 27, 2009
Across the mid-market, inefficiencies are compounded by the lack of visibility into pertinent data, of processes being adequately and flexibly automated, and for the performance of the business to be monitored on a constant basis. Without such capabilities, businesses will find it difficult to survive the current financial conditions – yet creating an environment where information can be easily aggregated and viewed has never been easier. Also, business performance can be easily monitored with small proactive, and even reactive, actions ensuring effective responses to market forces and enabling organisations to compete with local and more global business threats.
Tags : 
quocirca, business intelligence, performance management, enterprise applications
    
Quocirca
Published By: Radley Corporation     Published Date: Aug 30, 2010
Phase II of barcode data collection implementation brings shipping process improvement and reduces worker stress.
Tags : 
white paper, barcode data collection, ifs applications, shipping processes, radley corporation, automated data collection, erp integration, barcode labeling
    
Radley Corporation
Published By: Red Hat     Published Date: Jan 09, 2014
A large enterprise data warehouse company used Red Hat® CloudForms to create a private cloud that includes automated provisioning and self-service for developers and testers. This let them build, test, and release new product versions faster. Find out how in this case study.
Tags : 
red hat, cloudforms, data, data warehouse, enterprise cloud, cloud management, productivity, private cloud
    
Red Hat
Published By: Riverbed     Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
Tags : 
analytics, big data, forrester
    
Riverbed
Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
Tags : 
big data analysis, it analytics, manage, complex, automation, monitoring, management strategy, networking
    
Riverbed
Published By: Riverbed DE     Published Date: Oct 16, 2017
What is the key benefit of SD-WAN? To provide seamless access to digital services for end-users. But IT is more distributed, fragmentary, and dynamic than ever, with hybrid apps, hybrid networks, and remote and mobile users everywhere. Hardware-bound legacy networks can never fulfill the promise of seamless access. Taming the chaos of today’s IT requires a new approach to networking. This is the promise of software-defined wide area networks (SD-WAN)—the ability to use plain-language business policies to automate and orchestrate all the components of digital access. Read this white paper to learn how SD-WAN lets you: • Manage centrally from a cloud console with a comprehensive view of your connectivity fabric that spans and unifies datacenter/cloud apps, branch/mobile users, and enterprise/cloud networks. • Orchestrate globally using business policy-based automation to define quality of service and access privileges for all apps/users. • Deploy locally with zero touch via automated
Tags : 
cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Riverbed DE
Published By: SAP     Published Date: Jul 18, 2016
A long-time user of SAP software, SAP for Retail solutions are the IT backbone of ULTA's operations. From real-time data to analytics, to automated back-end processes, to comprehensive employee support. ULTA is using IT to drive better, more personalized service and consistent shopping experiences. Learn how SAP helps ULTA Beauty Run Simple.
Tags : 
    
SAP
Published By: SAS     Published Date: Aug 27, 2010
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.
Tags : 
sas, analytics software, business intelligence, data mining, automated analytical tools, computerworld
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
Tags : 
sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
Tags : 
best practices, embedding analytics, technology, data, operational analytics
    
SAS
Published By: SAS     Published Date: Apr 20, 2017
Hype and hope — Big Data has generated a lot of both. Thanks to an abundance of enterprise information systems, networks, applications and devices that churn out huge volumes of information, government agencies are awash in Big Data. Add to this data growth the emerging trend of the Internet of Things (IoT) — the network of people, data, things and processes that is increasingly linked through automated connections and sensors — and the future of Big Data can seem quite daunting.
Tags : 
    
SAS
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
Tags : 
    
SAS
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Tags : 
incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: ServiceNow     Published Date: Oct 22, 2018
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : 
cmdb, servicenow, discovery, infrastructure, data, visibility
    
ServiceNow
Published By: ServiceNow     Published Date: Mar 13, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : 
    
ServiceNow
Published By: ServiceNow     Published Date: May 14, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : 
servicenow, cmdb, stages, foundation, infrastructure
    
ServiceNow
Published By: SolidFire_NetApp     Published Date: Oct 10, 2016
This paper introduces five architectural principles guiding the development of the next generation data center (NGDC). It describes key market influences leading a fundamental enterprise IT transformation and the technological trends that support it. The five principles are: scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. Cloud infrastructure delivery models such as IaaS, private clouds, and software-defined data centers (SDDC) are foundations for the NGDC. In an era where IT is expected to ensure productiongrade support with a plethoric flow of new applications and data, these models demonstrate how to eliminate bottlenecks, increase self-service, and move the business forward. The NGDC applies a software-defined everything (SDx) discipline in a traditional, hardware-centric business to gain business advantage.
Tags : 
    
SolidFire_NetApp
Published By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
Tags : 
application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: SPSS     Published Date: Jun 30, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
Tags : 
spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
    
SPSS
Published By: SPSS Inc.     Published Date: Mar 31, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
Tags : 
spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
    
SPSS Inc.
Start   Previous    1 2 3 4 5    Next    End
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.