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.
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.
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.
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.
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.
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).
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!
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.
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.
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.
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.
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.
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.
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.
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
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.
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?”
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.
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
Published By: DocStar
Published Date: Jun 11, 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.
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
Published By: Workday
Published Date: Jan 16, 2018
Financial transformation by definition is not something you can bolt on—it requires a willingness to question long-held assumptions and envision where you want to go and a total technology rethink. In the next blog, we’ll take a closer look at how one, unified, cloud-based system can create the perfect environment for finance to handle transaction processing and compliance and control while delivering the answers the business needs.