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Published By: Netsuite DWASF Leads Display Q1 2015     Published Date: Feb 03, 2015
A step-change in the pace of business today brings enterprise resource planning (ERP) systems face-to-face with the largest transformation in their role since they were first introduced in the early 1990s. The rise of a new generation of business automation demands real-time information processing and visibility on a scale that was unthinkable just a few years ago. Coupled with—and in large part enabled by—this new wave of business automation, there has been a surge in the pace of business itself. Learn how Real-Time ERP puts you and your business at the forefront of this change.
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real-time erp, enterprise, business automation demands, information processing and visibility
    
Netsuite DWASF Leads Display Q1 2015
Published By: Esker     Published Date: Jul 09, 2019
For 20+ years, many businesses have enjoyed the cost savings, operational efficiencies and process quality improvements that shared services centers (SSCs) were designed to deliver — but often not to the fullest extent. In this eBook we will cover: Standardized AP Processing without Disruption Measuring and Evaluating KPIs with Automation 7 Tips for Mastering Modern-Day Finance SSCs Achieving the Ultimate Control, Oversight & Orientation
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Esker
Published By: Riverbed     Published Date: Oct 17, 2012
While SharePoint Server provides a rich suite of tools, geographically, users may still encounter issues which can impose on overall application performance. Tests outlined in this white paper include application performance and more.
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wan optimization, riverbed, sharepoint, application processing, it management, data management, business technology
    
Riverbed
Published By: AWS     Published Date: Jul 16, 2018
The Internet of Things (IoT) is composed of sensor-embedded devices and machines that exchange data with each other and the cloud through a secure network. Often referred to as “things” or “edge devices”, these intelligent machines connect to the internet either directly or through an IoT gateway, enabling them to send data to the cloud. Analyzing this data can reveal valuable insights about these objects and the business processes they’re part of, helping enterprises optimize their operations. Devices in IoT deployments can span nearly any industry or use case. Each one is equipped with sensors, processing power, connectivity, and software, enabling asset control and other remote interactions over the internet. Unlike traditional IT assets, these edge devices are resource-constrained (either by bandwidth, storage, or processing power) and are typically found outside of a data center, creating unique security and management considerations.
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AWS
Published By: Quocirca     Published Date: Jul 03, 2008
Small and medium sized organizations have similar issues to large companies when it comes to the processing and storage of information and data, yet often have little capability to attract, retain and maintain the skills for managing their data assets compared to large organizations.  Blade systems offer an effective way to address the specific challenges faced by smaller organizations in managing their IT assets, and allows then to gain greater value from them.
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storage, blade, blade systems, small business, smb, smbs, mid-sized business, quocirca
    
Quocirca
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: HRMC     Published Date: Sep 23, 2010
HRMC Acclaim is a unique talent acquisition SaaS platform that uses artificial intelligence to automate the decisioning and selection process, and starts with an immediate interview rather than a cold, flat resume request.
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applicant, recruiting, staffing, applicant processing, applicant evaluation, assessment, selection, hiring
    
HRMC
Published By: IBM     Published Date: Oct 16, 2015
The core principles of retailing may remain the same but the methods by which retailers must reach out to customers are constantly evolving. As the need for real-time analytics and customer information grows more important, retailers need robust systems to manage the ever-expanding volumes of data.
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customer experience, transaction processing, omnichannel banking, consumer demands, customer interaction, shopper experience, retail
    
IBM
Published By: IBM     Published Date: Jan 12, 2016
The core principles of retailing may remain the same but the methods by which retailers must reach out to customers are constantly evolving. As the need for real-time analytics and customer information grows more important, retailers need robust systems to manage the ever-expanding volumes of data.
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customer experience, transaction processing, omnichannel banking, consumer demands, customer interaction, shopper experience, retail
    
IBM
Published By: IBM     Published Date: Apr 15, 2015
Optimize your business processes in the cloud with a next generation BPM strategy — an intelligent Business Platform (iBP) that implements an on demand, “service as you need it” model. Take advantage of Infrastructure as a Service (IaaS) for pure technology - processing, storage, networks with payment based on usage. Develop and manage business processes using the BPM Platform as a Service (BPMaaS), providing the BPMS tools supported by cloud services. Work with live business processes used by customers, suppliers, employees and trading partners, using Business Processes as a Service.
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ibm, optimization, cloud computing, iaas, business platform, data storage, business intelligence
    
IBM
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
Drawing on over 30 years of financial services industry expertise, GFT is GCP’s premiere, go-to, pure play financial services partner enabling GCP services and products greater visibility and utilization within FIs across Capital Markets, Retail, Insurance, and Asset Management business segments. Leveraging reputational credibility from long-standing relationships with top global FIs, GFT offers GCP a unique and invaluable view into pressing problems and potential solutions for the rapidly changing FS market.
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GFT USA, Inc.
Published By: Skillsoft     Published Date: Oct 20, 2015
SumTotal Systems, a Skillsoft company, delivers the SumTotal Work suite of solutions that provides time and attendance, scheduling, absence and leave management, and payroll data processing.
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skillsoft, sumtotal, workforce management, wfm data, payroll processing, human capital management
    
Skillsoft
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: IBM     Published Date: Dec 03, 2008
The System x3350 is a uniprocessor server that includes technology previously found only on multiprocessor servers. So you get enterprise-strength processing power that uses less energy and generates less heat. The tour includes an overview video, plus videos on market research, an airflow comparison, and a power comparison.
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ibm express seller, optimizing performance, security, application server, ibm, ibm system x3350, uniprocessor server, airflow comparison
    
IBM
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Automation Anywhere’s flagship product is Automation Anywhere Enterprise – a RPA platform offering a variety of tools to help organisations develop, operate and manage RPA bots that automate data entry, data gathering and other repetitive, routine tasks usually carried out as part of high-volume, repetitive work (for example, service fulfilment work in call centres, shared-service centres, and back-office processing environments). Automation Anywhere Enterprise bots can add value both in unattended (server-based, lights-out operation) and attended (desktop-based, interactive) deployment configurations. In this report, MWD Advisors digs deeper into the features and capabilities of Automation Anywhere’s product portfolio, analysing its fast-growth trajectory and highlighting large-scale implementations.
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Automation Anywhere
Published By: NetApp     Published Date: Sep 26, 2018
Get practical advice from IT professionals on how to successfully deploy all-flash arrays for Oracle, SAP and SQL Server workloads in a SAN environment. You'll explore topics such as transaction processing speed, storage management, future requirements planning, workload migration and more.
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netapp, flash, san, workload, netapp
    
NetApp
Published By: SAS     Published Date: Mar 06, 2018
There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Although many of these technologies have been available for decades, new advancements in compute power along with new algorithmic developments are making these technologies more attractive to early adopter companies. These organizations are embracing advanced analytics technologies for a number of reasons including improving operational efficiencies, better understanding behaviors, and gaining competitive advantage.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: NetApp     Published Date: Mar 05, 2018
Did you know that by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated? Read the Gartner report Technology Insight for Modern Analytics and Business Intelligence Platforms and find out how to meet the time-to-insight demands of today's competitive business environment. Learn how to: • Determine when to use existing, traditional BI technologies versus modern analytics and BI • Broaden data access beyond relational systems • Adopt new approaches to data modeling
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, business technology
    
Teradata
Published By: Lucidworks     Published Date: Dec 14, 2016
Download this whitepaper to learn about the benefits and trade-offs of contextual and data-based analysis. Recommendations and answers are provided by the next generation of enterprise applications that use search-based features and capabilities to improve performance and add value.
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Lucidworks
Published By: Vision Solutions     Published Date: Jun 10, 2009
For IT departments looking to bring their AIX environments up to the next step in data protection, IBM’s PowerHA (HACMP) connects multiple servers to shared storage via clustering. This offers automatic recovery of applications and system resources if a failure occurs with the primary server.
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aix, i5/os, vision, resilience, recovery, recovery solutions, os/400, ibm i, next generation solutions, recovery time, hacmp, high availability, clustering, environmental conditions, operator error, software bugs, data loss, 99.99, failure, logical volume manager
    
Vision Solutions
Published By: McAfee     Published Date: Feb 06, 2013
This paper addresses the Big Security Data challenge and highlights the key criteria organizations need to consider for processing security information in light of today’s dynamic threat landscape.
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big data, big security data, mcafee siem, intrusion detection systems, security monitoring
    
McAfee
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