services operations

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By: IBM     Published Date: May 20, 2015
There is a lot of hype around the potential of big data and organizations are hoping to achieve new innovations in products and services with big data and analytics driving more concrete insights about their customers and their own business operations. To meet these challenges, IBM has introduced IBM® Spectrum Scale™. The new IBM Spectrum Scale storage platform has grown from GPFS, which entered the market in 1998. Clearly, IBM has put significant development into developing this mature platform. Spectrum Scale addresses the key requirements of big data storage - extreme scalability for growth, reduced overhead of data movement, easy accessibility , geographic location independence and advanced storage functionality. Read the paper to learn more!
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     IBM
By: Dell EMC     Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to: • Improve productivity of internal applications • Increase revenue through enhanced customer interacton and improved customer acquisiiton • Reduce costs by optimizing operations • Enhance products and services with "smart" functionality such as vision and voice interaction and control This paper provided by Dell and Intel® gives executi
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     Dell EMC
By: Schneider Electric     Published Date: Mar 28, 2019
While enterprises continue to own and operate in-house datacenters, their use of colocation and other outsourcing services is growing fast. Demand for colocation and wholesale datacenters, with their readily available space and power, their professional operations teams and, increasingly, their rich connectivity and value-added offerings, has never been stronger. 451 Research forecasts that the operational square footage of the global colocation and wholesale sector will grow at a healthy 7% CAGR from 2017 to 2020.
Tags : data centers, outsourcing services, schneider electric, colocation data center, data center market
     Schneider Electric
By: Gigamon     Published Date: Mar 26, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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     Gigamon
By: HERE Technologies     Published Date: Mar 25, 2019
In the future, people won’t necessarily want to own cars, but they’ll need personal mobility. The mobility ecosystem can support a range of different services, but in the near-term, many of these nascent businesses face a range of operational challenges as they bid to grow and become profitable. This ebook explores the fundamental needs of new mobility providers as they target business improvements, looks at their considerations as they forge key technology partnerships, and shows how HERE's Auto Mobility Operations solution can help mobility services meet those requirements. This ebook will help you understand how Auto Mobility Operations helps: • Enable the creation and integration of key location features as applications for mobile operating systems through use of the HERE Mobile SDK • Manage and efficiently operate fleet assets with HERE Location Services, providing fresh, high-quality and global location-based data • Create a frictionless and compelling UX - with APIs, mapping
Tags : auto, mapping, location data
     HERE Technologies
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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     Group M_IBM Q2'19
By: HPE Intel     Published Date: Mar 15, 2016
To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.
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     HPE Intel
By: Cisco     Published Date: Dec 04, 2015
Infrastructure is used by customer and employee service and support centers, inbound and outbound telemarketing services, help desk services, government-operated support centers, and other types of structured communications operations.
Tags : cisco, zk research, wifi, multigigabit network
     Cisco
By: Cisco     Published Date: Jun 21, 2016
Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.
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     Cisco
By: SurveyMonkey     Published Date: Oct 23, 2015
Watch our webinar, 4 Steps to Building a Customer Satisfaction Engine. SurveyMonkey's Director of Customer Success, Jeffrey Coleman, will show you how to: - Ask questions that yield actionable data - Scale follow-up actions and improvements - Analyze survey data and get key metrics - Close the loop by turning data into action
Tags : survey monkey, customer satisfaction, customer success, data analytics, survey data, client services, customer operations, salesforce, sfdc service
     SurveyMonkey
By: SAP Ariba     Published Date: Oct 11, 2018
Today's supply chains typically include multiple partners, with services and sourcing managed across several organizations and across the world. Companies are increasing their use of third-party suppliers in the execution of key strategic imperatives. This leads to complexity in the supply chain and increased scale and intensity of operations, all of which contribute to global warming.
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     SAP Ariba
By: Fortinet EMEA     Published Date: Nov 26, 2018
Most organizations are in the midst of some form of digital transformation (DX), transforming how they bring products and services to the market—and ultimately deliver value to their customers. But DX initiatives also bring complexity for the network operations team. With business-critical services distributed across multiple clouds, this leads to potential performance issues, especially at branch locations. Given these realities, it is no wonder that software-defined wide-area network (SD-WAN) technology is rapidly going mainstream. Unfortunately, SD-WAN is an example of the paradox of DX: transformative technology can potentially move the business to the next level, but the expanded attack surface it creates can expose the organization to significant risk. That is why an SD-WAN deployment, like every other DX effort, should be accompanied by a security transformation (SX) that rethinks outdated principles, broadens protection beyond the data center, and integrates the security archit
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     Fortinet EMEA
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