business model

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Published By: Cisco     Published Date: Mar 22, 2019
The Secure Data Center is a place in the network (PIN) where a company centralizes data and performs services for business. Data centers contain hundreds to thousands of physical and virtual servers that are segmented by applications, zones, and other methods. This guide addresses data center business flows and the security used to defend them. The Secure Data Center is one of the six places in the network within SAFE. SAFE is a holistic approach in which Secure PINs model the physical infrastructure and Secure Domains represent the operational aspects of a network.
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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Hewlett Packard Enterprise
Published By: VMware     Published Date: Apr 09, 2019
To help their business clients unleash innovation and support growth, IT teams need to evolve to a modern data center that is virtualized, software defined and automated, with a consistent operational model for infrastructure and application delivery. In this collection of case studies, we reveal how companies are building more agile, innovative businesses based on VMware solutions.
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VMware
Published By: Gigamon EMEA     Published Date: Apr 10, 2019
When selecting the right SOC for your business, taking into account current risks, threats and business objectives is absolutely critical. Get the Gartner report Selecting the Right SOC Model for Your Organization and decide for yourself which one makes the most sense for your company. This report looks at different factors for SecOps to consider for building, implementing, running, and sustaining the right SOC with 24/7 visibility into the IT environment.
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Gigamon EMEA
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence, automation, Internet of Things, blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies. We call this next-generation business model the Cognitive Enterprise.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
An opportunity for Chief Procurement Officers (CPOs): As business models evolve and technology advances, CPOs can elevate their value across enterprises and extended supplier networks with Cognitive Procurement capabilities that can sense and act.
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Group M_IBM Q2'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
Published By: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
Published By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
Published By: TARGUSinfo.     Published Date: May 20, 2010
The arrival of 3rd party data is changing the landscape of online targeting. There is an influx of companies offering these services. But, what works with your business model? How do you evaluate the options? THE QUESTIONS YOU NEED TO KNOW AND WHY: • Is there high fidelity data? • Is the provided data stable? • Is your partner built to last? • Does your partner use a transparent methodology? Download our guide to evaluating data providers and find out the importance and relevance of these terms and conditions.
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TARGUSinfo.
Published By: SAP     Published Date: Mar 09, 2017
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain. Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
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SAP
Published By: Entrust Datacard     Published Date: Nov 15, 2017
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Entrust Datacard
Published By: Windstream     Published Date: Oct 30, 2015
UCaaS enables businesses to transition their enterprise communications costs from a capital-expenditure (CapEx) to an operational-expense (OpEx) model, transforming the upfront costs related to on-premises PBX and UC deployments to a flexible per-user pricing model, which allows them to quickly scale the number of UC users up or down as business needs dictate.
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Windstream
Published By: Windstream     Published Date: Oct 30, 2015
UCaaS enables businesses to transition their enterprise communications costs from a capital-expenditure (CapEx) to an operational-expense (OpEx) model, transforming the upfront costs related to on-premises PBX and UC deployments to a flexible per-user pricing model, which allows them to quickly scale the number of UC users up or down as business needs dictate.
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Windstream
Published By: Entrust Datacard     Published Date: Oct 24, 2016
Every enterprise is aware of the need for digital transformation. A 2015 study conducted by KPMG found that their top four concerns moving forward were: (1) new entrants disrupting existing business models; (2) the ability to keep current with technology; (3) competitors leveraging digital business models to take share; and (4) products and services remaining relevant as the digital future unfolds.
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Entrust Datacard
Published By: Windstream     Published Date: Oct 30, 2015
UCaaS enables businesses to transition their enterprise communications costs from a capital-expenditure (CapEx) to an operational-expense (OpEx) model, transforming the upfront costs related to on-premises PBX and UC deployments to a flexible per-user pricing model, which allows them to quickly scale the number of UC users up or down as business needs dictate.
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Windstream
Published By: Windstream     Published Date: Oct 30, 2015
UCaaS enables businesses to transition their enterprise communications costs from a capital-expenditure (CapEx) to an operational-expense (OpEx) model, transforming the upfront costs related to on-premises PBX and UC deployments to a flexible per-user pricing model, which allows them to quickly scale the number of UC users up or down as business needs dictate.
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Windstream
Published By: Cisco     Published Date: Dec 11, 2018
WAN edge infrastructure is changing rapidly as I&O leaders responsible for networking face dynamic business requirements, including new application architectures and on-premises and cloud-based deployment models. I&O leaders can use this research to identify vendors that best fit their requirements. By year-end 2023, more than 90% of WAN edge infrastructure refresh initiatives will be based on virtualized customer premises equipment (vCPE) platforms or software-defined WAN (SD-WAN) software/appliances versus traditional routers (up from less than 40% today).
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Cisco
Published By: Cisco     Published Date: Dec 11, 2018
You need to be ready to host any application anywhere. Our solution adapts to support all of your applications with the simplicity of hyperconvergence. If your IT organization is like most, you are stretched thin to support your developers as they create multicloud-native applications that they deploy across public and private clouds. And you still need to support line-of-business managers with traditional applications as they use both monolithic and cloud deployment models. I would like to receive email communications about products & offerings from Cisco & its Affiliates. I understand I can unsubscribe at any time. For more information on how Cisco collects and uses personal information, please see the Cisco Online Privacy Statement.
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
The new Multicloud Storage for Dummies consists of five short chapters that explore the following: - How the multicloud storage model aligns with modern business and IT initiatives - Common barriers to cloud adoption and how a multicloud storage model addresses them - How to build a multicloud data center - What to look for in multicloud storage services - Real-world multicloud use cases
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hpe, multicloud, storage, private cloud, public cloud, digital
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"In today’s Idea Economy, businesses need to turn ideas into services faster. Every new business and established enterprise is at risk of missing a market opportunity and being disrupted by a new idea or business model. It has never been easier, or more cru cial, to turn ideas into new products, services, or applications —and quickly drive them to market. But IT needs an infrastructure that enables them to partner with the business to speed the delivery of services."
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Hewlett Packard Enterprise
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
Published By: goTransverse     Published Date: Nov 25, 2015
In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River, goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new products and services.
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goTransverse
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Most IT professionals today recognize that enterprise IT will be hybrid in the future. To provide the optimal foundation for each workload being deployed, the hybrid IT environment will include cloud-based infrastructures—from multiple providers—co-existing alongside infrastructure within the enterprise data center or a hosted environment. But not all hyperconverged solutions yield the same results. The right hyperconverged infrastructure can meet your IT needs both today and well into the future. In this paper, we will talk about where your data center needs to be in the next five years to meet changing business demands, and how the roles of IT professionals will evolve. We will also review “hyperconvergence” models, and how they can best meet your IT needs both today and in the future, as well as the benefits you can expect along the way. Finally, we discuss what to look for in the right hyperconverged provider, who will position your IT department for success.
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Hewlett Packard Enterprise
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