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Published By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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SDL
Published By: CyrusOne     Published Date: Jul 05, 2016
Many companies, especially those in the Oil and Gas Industry, need high-density deployments of high performance compute (HPC) environments to manage and analyze the extreme levels of computing involved with seismic processing. CyrusOne’s Houston West campus has the largest known concentration of HPC and high-density data center space in the colocation market today. The data center buildings at this campus are collectively known as the largest data center campus for seismic exploration computing in the oil and gas industry. By continuing to apply its Massively Modular design and build approach and high-density compute expertise, CyrusOne serves the growing number of oil and gas customers, as well as other customers, who are demanding best-in-class, mission-critical, HPC infrastructure. The company’s proven flexibility and scale of its HPC offering enables customers to deploy the ultra-high density compute infrastructure they need to be competitive in their respective business sectors.
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environment, cyrusone, best practices, productivity, flexibility
    
CyrusOne
Published By: IBM     Published Date: Jun 25, 2018
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience. Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk. Find out how Watson Assistant can accelerate your customer support experience. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Micro Focus     Published Date: Aug 17, 2011
With the majority of mainframe processing power allocated to production, the mainframe is not the most appropriate platform for ongoing development.
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micro, cobol, rumba, für arbeit, rumba, server express, server express, express server
    
Micro Focus
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Canon Business Process Services, Inc.     Published Date: Aug 17, 2015
This paper will explore the potential of applying business performance management (BPM) principles to advance document performance management (DPM) in a way that enables organizations to reduce costs; better manage documents as vital strategic, ?nancial and information assets; and secure positive returns on investments from outsourcing. An example of this approach — spotlighted later in this paper — is MAX, a document performance management system that enables companies to more effectively manage their document processes and outsourcing service providers.
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canon business process services, document management, document imaging, business performance management, outsourcing services, managed services, balanced scorecard framework, slas
    
Canon Business Process Services, Inc.
Published By: Flexential     Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion? In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
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Flexential
Published By: Epicor     Published Date: May 28, 2008
Today’s supply chain is, of course, the primary processing mechanism of every manufacturing company. But it’s more than that: Its multifaceted, multicompany, multinational structure makes it the most complex management challenge found in any enterprise. Supply chain management no longer means just making sure that the right resources and the right materials move to the right place at the right time.
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scm, supply chain, epicor, lean, manufacturing, manufacturer, lean methods
    
Epicor
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
    
Red Hat, Inc.
Published By: Progress Software     Published Date: May 27, 2010
Financial services firms can achieve a higher level of operational responsiveness with the seamlessly integrated and customizable responsive process management (RPM) solution from Progress Software. Monitor, control and improve your business in real time with this suite of tools designed to help financial services firms deliver a higher level of business performance while sensing and responding in real time to changing conditions and business events. Easily integrated into your exiting IT environment, the Progress RPM solution allows financial services firms to gain real competitive advantage. Download the white paper now!
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responsive process management, operational responsiveness, financial services, securities, trading operations, loan approval, capital markets, derivatives trading
    
Progress Software
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: AMD     Published Date: Jul 20, 2012
Server virtualization falls within the domain of IT operations but it can very much be a business matter with a measurable impact on the bottom line. Esoteric as it may seem from a business perspective, the server platform, powered by the processor.
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virtualization, cloud connection, public cloud, private cloud, private/public hybrid, virtual power equation, data processing, virtual machine density
    
AMD
Published By: Workday     Published Date: Oct 11, 2018
Before Workday, Panera Bread’s payroll processes were manual, inefficient, and error-prone, and payroll nightmares and compliance risks were a regular occurrence. Complex systems and costly integrations made it impossible for the company to keep up with its rapid growth or gain valuable insights into global labor expenses. See the infographic to learn why unifying HR, payroll, time tracking, and absence management in a single system allows Panera to use one consistent, flexible, and scalable system across the U.S. and Canada.
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Workday
Published By: Workday     Published Date: Mar 26, 2019
The Texas A&M university system has always been on the cutting edge of the academic world. Read the case study to learn how a single cloud-based system for HR enables this world-class institution to streamline and standardize processes across 20 different schools and worksites, cut payroll processing time by 30 percent, and empower IT to focus on major cybersecurity initiatives.
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Workday
Published By: Splunk     Published Date: Sep 17, 2012
When the IT team determined the need for a new tool, they downloaded Splunk and saw immediate value. Read more about HealthTrans' hard and soft ROIs by integrating Splunk into their IT infrastructure.
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enterprise management associates, claims processing, roi, data management, data storage, security, business technology
    
Splunk
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities, storage
    
NetApp
Published By: Epicor     Published Date: Jun 26, 2017
Retail is changing. Now, competitors across the globe can lure your customers as easily as those across town. Location isn’t everything anymore. Thankfully, smaller retailers are more nimble than bigger ones—you just need the right tools to compete and thrive. Epicor Eagle software is built for retailers who want to: • Improve customer service at the point of sale • Offer simple payment processing • Identify and reward loyal shoppers • Gain anywhere, anytime access to their retail software Explore our virtual tour to see how retailers can compete and grow with help from Epicor.
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retail store software, retail sales software, retail saas, business retail software, tour of epicor eagle, benefits of epicor eagle, benefits of retail pos, advantages of retail saas
    
Epicor
Published By: Epicor     Published Date: Jun 06, 2018
You arrive at the office and watch helplessly as your AP processing team tries to avoid an avalanche of paper invoices while simultaneously juggling non-stop vendor service calls. The phones are ringing off the hook and the sound and sight of inefficiency is maddening—no one is happy. You try to move, but can’t. Thankfully you wake up and realize it was just a dream. Wiping the drool from your cheek, you resolve to update your own AP process before it’s too late. This scenario is a familiar recurring nightmare shared by many Accounts Payable Managers, Controllers and CFOs—and for good reason. Without scalable AP and invoice processing, your business cannot flourish or reach maximum potential. In this eBook, we’ll show you how integrating your AP processing with your accounting software will help you save time and money, allowing you and your team to focus on your customers and your business.
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Epicor
Published By: Cray Inc.     Published Date: Aug 21, 2014
Learn how to optimize codes for faster application performance with Intel® Xeon® Phi™ coprocessor.
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optimization, nics, supercomputers, application, performance, hybrid processing, software development, it management
    
Cray Inc.
Published By: STANLEY Healthcare     Published Date: Mar 24, 2015
Using LEAN Six Sigma techniques, Central Sterile Processing and Materials Management leaders at Peninsula Regional Medical Center (PRMC) identified specialty bed management as an area ripe for improvement. They were spending too much time looking for these assets and renting too many specialty beds. Initially, the team focused on streamlining its order form process. They soon realized they were getting better—but at the wrong thing. They still weren’t achieving the desired results. Read this case study to learn how Peninsula Regional Medical Center implemented STANLEY Healthcare’s AeroScout® Real Time Locating System (RTLS) and uses real-time location to improve specialty bed management, dramatically reducing rental costs.
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healthcare, medical center, medicine, location, bed management, rlts
    
STANLEY Healthcare
Published By: BMC Software     Published Date: Jul 22, 2015
This CIO eBook explores how to deploy Hadoop applications faster and easier with a workload automation solution that simplifies and automates Hadoop batch processing and connected enterprise workflows. Read the eBook to learn: • The role—and challenges—of Hadoop in Big Data application development • Six considerations for a Hadoop proof-of-concept initiative • How to connect Hadoop to other enterprise data sources and applications
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big data, hadoop applications, hadoop development
    
BMC Software
Published By: BMC Software     Published Date: Jul 22, 2015
Managing Hadoop batch processing may consume a significant portion of application developers’ time and effort, which drives up application development times and costs. This paper from BMC discusses the obstacles IT organizations face in developing and managing Hadoop jobs and workflows and how a workload automation solution can remove these barriers.
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hadoop, batch jobs, workflow, scheduling tools, automation
    
BMC Software
Published By: Oracle     Published Date: Feb 21, 2018
A basic chatbot isn’t that hard to build. In JavaScript, write a public REST endpoint to connect a Facebook page to some chat logic (botly is a popular option) and deploy the whole thing to run on a cloud platform. Zoom out to the bigger picture, though, and you see that Facebook is just one channel. If you use Skype, Slack, Kik, and digital voice assistants, you’ll have to build six or eight of these endpoints straight away. And chatbots are being asked to handle ever more complex responses, so you better build on a platform of machine learning and natural language processing to keep up. That’s why the question enterprise developers should be asking is not “Which chatbot service do I start with?” but “Which platform will let me crank out a chatbot today and also support multiple channels and integrate with back-end systems as these chatbots take off?”
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Oracle
Published By: Oracle     Published Date: Feb 21, 2018
Oracle debuted its Blockchain Cloud Service in October, and now one of Oracle’s early-stage partners, AuraBlocks, has already created a financial service on the platform. AuraBlocks is using blockchain to help its customer Biz2Credit verify the identity of borrowers. Biz2Credit provides loans to small- and medium-sized businesses.
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Oracle
Published By: HP Inc.     Published Date: Jun 20, 2019
Four billion people now generate four quintillion bytes of data every day - and with the number of IoT devices set to increase to three times the global population by 2022 - volumes will only continue to rise. The challenge is processing the data. This is why machine learning, deep learning and all the other developing forms of AI must deliver the analytics toolset businesses need to compete.
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HP Inc.
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