it operation models

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Published By: Genesys     Published Date: Jun 13, 2018
Ease, effectiveness and emotion drive great customer service, but top-line growth requires that application development and delivery (AD&D) professionals keep an eye on trends. Forrester Research has identified 10 customer service trends in 2018 for AD&D and others who support customer service. Before you strategize on improving your quality of service, read this Forrester Report by Vice President and Principal Analyst Kate Leggett. You’ll learn which investments are critical and the advantages of: • Focusing on context and inquiry type to deliver the best customer experience • Using automation and AI to uncover new revenue streams and transform operations • Exploring new labor models to maximize human connections in a digital world
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customer service, ease, effectiveness, automation
    
Genesys
Published By: Genesys     Published Date: Jul 13, 2018
Ease, effectiveness and emotion drive great customer service, but top-line growth requires that application development and delivery (AD&D) professionals keep an eye on trends. Forrester Research has identified 10 customer service trends in 2018 for AD&D and others who support customer service. Before you strategize on improving your quality of service, read this Forrester Report by Vice President and Principal Analyst Kate Leggett. You’ll learn which investments are critical and the advantages of: • Focusing on context and inquiry type to deliver the best customer experience • Using automation and AI to uncover new revenue streams and transform operations • Exploring new labor models to maximize human connections in a digital world
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Genesys
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
As enterprises steer toward the future, they find themselves constrained by a variety of obstacles to embracing new IT operating models.
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it operations, technology adaptation, it operation models, management strategies
    
Hewlett Packard Enterprise
Published By: Oracle CX     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle CX
Published By: IBM     Published Date: Jun 13, 2018
In the digital era, businesses in every industry are becoming technology companies. New business models such as “product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by integrating software-based services into their offerings) and new operational models, such as collaboration, social business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased solutions. So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by too many cloud solution providers—you need a cloud platform that is able to grow your business into the future, supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
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IBM
Published By: SAP     Published Date: Nov 22, 2017
In today’s market, discrete manufacturers must stay focused on traditional objectives — increasing uptime and throughput in the plant and closely managing costs throughout their operations. At the same time, they must also create and offer more integrated products and services and even new business models to enhance the customer experience. These new offerings incorporate increasing amounts of technology — including Internet of Things. Indeed, by 2018, nearly one-third of industry leaders will be disrupted by competitors that are digitally-enabled. For manufacturers, this IDC white paper examines the current and future Internet of Things (IoT) imperative for the following discrete manufacturing industries: automotive, aerospace and defense, high tech, and industrial machinery. We highlight IoT-enabled scenarios — those possible both now and in an Industry 4.0 future with smart manufacturing.
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market, traditional objectives, uptime, plant, managing, costs, operations, offerings
    
SAP
Published By: ServiceNow     Published Date: Mar 24, 2015
It’s the backbone of the modern enterprise, not just another function within it. For businesses to continue to succeed in an increasingly technology-dependent world, CIOs must assume a strategic leadership role and drive change throughout the enterprise. Driving business strategy is not an entirely new role, but it is an added responsibility to the traditional CIO job function. While many CIOs possess the skills and ambition to impact business strategy, existing IT operational models and an aging infrastructure are holding them back. CIOs who have been successful in bridging the divide between IT and the business did it by ?rst accelerating IT transformation.
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modern enterprise, technology dependent, business strategy, it transformation, it management, enterprise applications
    
ServiceNow
Published By: athenahealth     Published Date: Jun 08, 2015
In this whitepaper, we argue that traditional models for estimating HCIT costs are inadequate and overlook several business-critical variables. Our intention is not to provide a comprehensive TCO model, but to expose and examine the operational considerations that most TCO models fail to recognize or account for, and to equip executives to ask the right questions about the cost of delivering clinical and financial results stemming from technology procurement
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hcit, heath care it, ownership, patient experience, tco
    
athenahealth
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Oracle     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle
Published By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
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packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces
    
Ciena
    
Ciena
    
Ciena
Published By: Dassault Systèmes     Published Date: Aug 08, 2017
Business leaders today face the challenge of moving their enterprises to the next level, that of digital business transformation and revolution — coupling digital technologies with organizational, operationaland business model innovation to create new ways of operating and growing the business. The "4th Industrial Revolution" enables enterprises to drive changes in their business models and ecosystems, leveraging digital competences and facilitating accelerated revenue and profit growth going forward.
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industrial, business leaders, enterprises, digital technologies, organizational, dassault, revenue, profit
    
Dassault Systèmes
    
Ciena
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
If a contact center executive could have anything, it would be certainty… of contact demand, resource availability, operational efficiency, and of agent performance and customer experience delivery. But certainty in a contact center is nearly impossible, and in the absence of a crystal ball, mathematical models provide the next best thing. They alert, evaluate operational risk, and propose business and resourcing solutions. And now, the best of these models also determine expected experience delivery.
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interactive intelligence, contact center, customer service, customer experience, cost, revenue, telecom, it management
    
Interactive Intelligence
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS
Published By: IBM     Published Date: Aug 08, 2012
With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
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ibm, technology, predictive operational analytics, spss, business technology
    
IBM
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum? Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found: New customer segments open thanks to lower adoption and operating costs. With less complex infrastructure under SaaS, customer TCO drops. ISV products improve with value-added cloud services and SaaS data capabilities. Financial predictability improves with recurring revenue model. New pricing models aligns ISV value to customers’ business needs, driving increased revenue. Additional, significant operational benefits from switching to a SaaS model. Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs. The collection of product usage data increases the speed of product development by 33%. –
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Microsoft Azure
Published By: CDW-Lenovo     Published Date: Oct 15, 2015
This document is the Lenovo reference architecture (RA) for OpenStack from Red Hat Enterprise Linux OpenStack Platform. The RA focuses on achieving optimal performance and workload density using Lenovo hardware while minimizing procurement costs and operational overhead. The document shows different operational models using a variety of Lenovo servers and networking products with design considerations and guidance on how to size each part of the solution. Some examples of different reference designs are provided together with an appendix containing the hardware bill of materials.
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CDW-Lenovo
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: Cisco     Published Date: Apr 10, 2015
Interest in cloud computing over the last several years has been phenomenal. For cloud providers, public or private, it will transform business and operational processes, streamlining customer on-ramping and time to market, facilitating innovation, providing cost efficiencies, and enabling the ability to scale resources on demand. Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).
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cisco, design, network architecture, mobile devices, best practices, vmdc, data center, cloud computing, iaas
    
Cisco
Published By: Cisco     Published Date: Jan 05, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these ongoing challenges for enterprise IT and network managers.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise, it management, enterprise applications
    
Cisco
Published By: CDW     Published Date: Sep 10, 2014
Leading organizations don’t think of data protection in traditional back-office terms—and that’s no accident. They think and act like service providers, and in doing so transform data protection operations from mere cost centers to business enablers. Traditional data protection architectures can’t meet today’s challenges of massive growth, application performance, and data availability. And they aren't designed for services-oriented business models.
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protection, storage, architecture, massive growth, integrated, data
    
CDW
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