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Published By: Dell EMC     Published Date: Oct 10, 2019
To compete in the digital era, organizations require a skilled and highly productive workforce, empowered by the right technology. Technology decision makers must match highly functional technology to the needs of every worker, enabling each person to have an experience that is productive and fulfilling, while taking organizational competitiveness to the next level. It’s a straightforward mandate but is not always easy for technology decision makers to achieve. To shed light on today’s digital-era workforce and its needs, Dell commissioned a study that is the subject of this report. The survey probes the requirements of users, patterns of work, and the desires and frustrations of workers in their quest to maximize their ability to contribute to their organizations. Learn more about Dell solutions powered by Intel®.
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Dell EMC
Published By: Limelight Network     Published Date: Aug 12, 2019
Live streaming is attracting viewers online to watch major sports events, play games, participate remotely in educational opportunities, and bid at live auctions. But today, the latency of online video stream delivery is typically too long to provide the viewing experience users expect, resulting in unhappy viewers and lost revenue. Fortunately, new live streaming technology makes it possible to deliver live streams in less than a second, enabling exciting new experiences that engage viewers in multiple ways. For organizations that need to distribute live streams, it’s about increasing audience size and revenue. For viewers, watching streams in realtime with interactive data integrated with the live video enables new possibilities for how they can interact with you and each other. Read this brief to learn how sub-second latency streaming enables new business opportunities by making live viewing a more interactive social experience.
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Limelight Network
Published By: Cohesity     Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
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Cohesity
Published By: Stripe     Published Date: Aug 06, 2019
Digital commerce is enabling businesses to rethink what they sell, how they sell, and where they sell. Fickle consumer and business buyers have come to expect an intuitive and instantaneous checkout process with multiple payment options. However, aging financial infrastructure and complex interdependencies between numerous parties make it difficult and expensive to accept payments online seamlessly and across markets and currencies. Stripe meets these challenges with an API-based payments platform that abstracts away the complexities around payment gateways, acquiring banks, and credit card networks. To understand the impact of Stripe’s products on processing online payments, IDC interviewed Stripe customers and surveyed hundreds of organizations around the world about how they currently process and manage online payments. KEY FINDINGS • Many organizations are using Stripe as a foundational platform for their online businesses, with many of those also using Stripe Connect to run thei
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payment security, payment processing, payment solutions, business analytics, platform as a service (paas)
    
Stripe
Published By: Forcepoint     Published Date: Jul 30, 2019
How to boost results, cut costs and manage risk in an internet-connected world Digital transformation is driving change across the world, creating new opportunities to boost business productivity, while cutting the costs of infrastructure and operations. Increasingly distributed?organizations are re-architecting their networks and security to move their most valuable data?and applications to the cloud, in order to give their users much richer, faster, less expensive?access than ever before. Enabling remote sites and off-network users to securely connect?direct-to-cloud is the new challenge facing enterprises and government agencies.? How can distributed organizations achieve the reliable, secure connectivity to the cloud they?need? Many are now using internet technologies?for connect all of their users to cloud-based applications more productively and cost-effectively than ever before. Join Forcepoint for this informative discussion. In this session we will cover: How to accelerate
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Forcepoint
Published By: Red Hat     Published Date: Jun 19, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster. The following checklist will assess your needs and possible business impacts to help you choose a cloud-native platform that benefits the business, developers, and IT operations team.
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Red Hat
Published By: Dell APAC     Published Date: May 25, 2019
A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Dell APAC     Published Date: May 25, 2019
"A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Dell APAC     Published Date: May 25, 2019
"A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Dell APAC     Published Date: May 25, 2019
"A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Dell APAC     Published Date: May 25, 2019
"A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Domino Data Lab     Published Date: May 23, 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: Dell APAC     Published Date: May 16, 2019
"A single partner with a broad portfolio of security products can streamline the processes of purchasing, deployment and support. Dell has conceived and executed an innovative security strategy that provides data protection and threat prevention across an extensive line of products. Dell security technologies satisfy the requirements of both IT leaders and end users by protecting data, defending against threats, and enabling productivity and collaboration. In short, Dell’s approach enables organizations of all kinds to gain highly effective data security that is designed for the way people work."
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Dell APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Red Hat     Published Date: Mar 28, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster.
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Red Hat
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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Avi Networks
Published By: Equinix APAC     Published Date: Feb 26, 2019
Interconnection is the fabric enabling the Hybrid Multicloud future of IT In this webinar, experts from IDC and Equinix share insights on how interconnection is transforming digital connectivity across Asia Pacific. You will learn how organizations can scale their business securely, expand across borders and how market leaders are rethinking and reshaping their digital and cloud strategy.
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Equinix APAC
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: Coupa     Published Date: Dec 14, 2018
Many procurement departments are still using traditional manual processes or outdated technology. The result? Rogue spending, missed discounts from supplier contract pricing, reconciliation headaches, and the list goes on. These business risks are driving more organizations towards the cloud-based, secure, and workflow-friendly world of eProcurement solutions. These solutions are saving money and resources, improving use of budgets and personnel, enabling centralization, and using data to improve and streamline end-to-end purchasing processes. Download this report to learn about: Procurement trends from 400 organizations surveyed Operational and cost-savings benefits of eProcurement Leading features and functionality in eProcurement Adoption best practices and how to get started
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Coupa
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
After several years of relentless hardware and software innovation, the mainframe is at an inflection point. It’s quickly moving from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. Organizations are evolving toward what IDC calls the “connected mainframe.” This evolution to the platform is also enabling the mainframe to play a central role in organizations’ digital transformation (DX) journey. Key steps in achieving the connected mainframe require that organizations modernize and integrate the platform with their internal and external environments. IDC finds that these modernization and integration initiatives lead to new business innovations, which in turn are driving revenue growth. Early adopters of a connected mainframe strategy have achieved more than 300% return on investment (ROI). Over 50% of the benefit value came from business productivity gains, realized from higher transaction volumes, new services, and/or business
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Group M_IBM Q418
Published By: Dell EMC & Intel     Published Date: Sep 06, 2018
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
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Dell EMC & Intel
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
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