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By: NetApp     Published Date: -
Enterprise data is growing rapidly - reaching multiple petabytes of data or even billions of files for many organizations. To maximize the business value of this data, enterprises need a storage infrastructure to store, manage, and retrieve a massive amount of data. This ebook shows you how to address large content repository challenges with object storage. You'll learn how to effectively address long-term retention policies, find and retrieve content quickly from long-term repositories and using object storage efficiently.
Tags : object storage, storage infrastructure
     NetApp
By: NetApp     Published Date: Dec 13, 2013
Despite the hype, Big Data has introduced critical challenges for modern organizations – and unprepared organizations risk getting buried beneath an avalanche of information. In this informative webcast, join industry and business intelligence (BI) expert Wayne Eckerson, as he tackles the challenges of Big Data. Uncover practical tips and tactics for driving value with your Big Data platform – watch now to learn more.
Tags : big data problems, how to get the most from your big data
     NetApp
By: IBM     Published Date: Sep 02, 2014
Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders. In this worldwide survey of 555 healthcare providers, payers and life sciences organizations, you will learn the importance of implementing collaborative analytics strategies that: Manage, integrate and interpret data generated at all stages of the healthcare value chain Achieve the right balance of skills in order to translate data into actionable insights Focus on executive sponsorship and enterprise-wide adoption with metrics to measure and track success Position yourself to harness data, create and share insights, make informed decisions, and improve the performance of the entire healthcare ecosystem in which you operate.
Tags : ibm, analytics acrosss ecosystem
     IBM
By: IBM     Published Date: May 20, 2015
According to our global study of more than 800 cloud decision makers and users are becoming increasingly focused on the business value cloud provides. Cloud is integral to mobile, social and analytics initiatives – and the big data management challenge that often comes with them and it helps power the entire suite of game-changing technologies. Enterprises can aim higher when these deployments are riding on the cloud. Mobile, analytics and social implementations can be bigger, bolder and drive greater impact when backed by scalable infrastructure. In addition to scale, cloud can provide integration, gluing the individual technologies into more cohesive solutions. Learn how companies are gaining a competitive advanatge with cloud computing.
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     IBM
By: IBM     Published Date: Sep 16, 2015
Building applications for handling big data requires laser-like focus on solutions that allow you to deliver scalable, reliable and flexible infrastructure for fast-growing analytics environments. This paper provides 6 best practices for selecting the “right” infrastructure—one that is optimized for performance, flexibility and long-term value.
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     IBM
By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest. Instead of historical analysis, the goal with streaming analytics is to enable near real-time decision making by letting companies inspect, correlate and analyze data even as it flows into applications and databases from numerous different sources. Streaming analytics allows companies to do event processing against massive volumes of data streaming into the enterprise at high velocity.
Tags : impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics
     Impetus
By: Dell and Intel®     Published Date: Jun 18, 2015
The rapid evolution of big data technology in the past few years has changed forever the pursuit of scientific exploration and discovery. Along with traditional experiment and theory, computational modeling and simulation is a third paradigm for science. Its value lies in exploring areas of science in which physical experimentation is unfeasible and insights cannot be revealed analytically, such as in climate modeling, seismology and galaxy formation. More recently, big data has been called the “fourth paradigm" of science. Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction
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     Dell and Intel®
By: IBM     Published Date: Sep 04, 2013
This white paper outline the vale of the big data that continues to accumulate within your organization. It show how by making this data more accessible to relevant stakeholders you can unlock the value and insights, while minimizing risk.
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     IBM
By: Dell and Intel®     Published Date: Sep 17, 2014
According to the 2014 IDG Enterprise Big Data research report, companies are intensifying their efforts to derive value through big data initiatives with nearly half (49%) of respondents already implementing big data projects or in the process of doing so in the future. Further, organizations are seeing exponential growth in the amount of data managed with an expected increas of 76% within the next 12-18 months. With growth there are opportunities as well as challenges. Among those facing the big data challenge are finance executives, as this extraordinary growth presents a unique opportunity to leverage data assets like never before. * Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.
Tags : dell and intel, big data for finance
     Dell and Intel®
By: Dell and Intel®     Published Date: Apr 02, 2015
In this Guide we have delivered the case for the benefits of big data technology applied to the needs of the manufacturing industry. In demonstrating the value of big data, we included: • An overview of how manufacturing can benefit from the big data technology stack • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo • Dell PowerEdge servers with Intel® Xeon® processors
Tags : dell, intel, big data, manufacturing, technology stack, pain points, big data adoption, omneo
     Dell and Intel®
By: Dell and Intel®     Published Date: Aug 24, 2015
In today’s digitally driven world, the success of a business is increasingly tied to its ability to extract value from data. Exploiting the untapped value of your data is now the pathway to success. By putting data-driven decision making at the heart of the business, your organization can harness a wealth of information to gain an unparalleled competitive advantage. In a future-ready enterprise, you must make a fundamental shift from a focus on technology to a strategic business focus. Data-driven insights can guide everything from the formulation of top-level corporate strategies to connected devices that monitor and enable immediate critical decisions, to the creation of personalized customer interactions. Data is the foundation for enabling business transformation and innovation.
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     Dell and Intel®
By: Dell and Intel®     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell| Cloudera® Apache™ Hadoop® solutions for big data. These solutions provide end-to-end scalable infrastructure, leveraging open source technologies, to allow you to simultaneously store and process large datasets in a distributed environment for data mining and analysis, on both structured and unstructured data, and to do it all in an affordable manner.
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     Dell and Intel®
By: Cask     Published Date: Jun 28, 2016
A recent Gartner survey on Hadoop cited the two biggest challenges in working with Hadoop: “Skills gaps continue to be a major adoption inhibitor for 57% of respondents, while deciding how to get value from Hadoop was cited by 49% of respondents.” Cask is the company that makes building and deploying big data apps easy, allowing for 5 times faster time to value. To find out more, read about Cask Hydrator, a self-service, open source framework that lets data scientists easily develop and operate data pipelines using a graphical interface.
Tags : cask hydrator, hadoop, gartner survey, self-service data lakes
     Cask
By: Revolution Analytics     Published Date: May 09, 2014
As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. Through techniques of supervised and unsupervised statistical learning, organizations can make important predictions and discover previously unknown knowledge to provide actionable business intelligence. In this guide, we’ll examine the principles underlying machine learning based on the R statistical environment. We’ll explore machine learning with R from the open source R perspective as well as the more robust commercial perspective using Revolution Analytics Enterprise (RRE) for big data deployments.
Tags : revolution analytics, data science, big data, machine learning
     Revolution Analytics
By: Adaptive Computing     Published Date: Feb 27, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: IBM APAC     Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years. IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute. Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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     IBM APAC
By: Stripe     Published Date: Aug 06, 2019
Platform businesses are reshaping our economy and disrupting entire markets by seamlessly connecting buyers and sellers. However, processing payments and the exchange of value on a platform or marketplace can be challenging. Stripe commissioned Forrester Consulting to evaluate the challenges that platforms and their sellers face, and the solutions they seek. Through a global online survey of 2,030 platform sellers and four in-depth interviews, Forrester found that platforms struggle to provide their sellers with much-needed payment capabilities, reporting, and customer support services with in-house resources alone. Meanwhile, sellers demand that platforms provide these services and will prefer platforms that are service-rich over platforms that are service-poor. KEY FINDINGS • The complexities of managing a platform force executives to divert resources, which stalls growth. • Going global is easier said than done. • Sellers will flock to platforms that simplify the process of sellin
Tags : global payments inc, payment solutions, payment processing, platform as a service (paas), platforms
     Stripe
By: Stripe     Published Date: Aug 06, 2019
Payments are essential to the success of marketplaces and platforms that connect buyers to sellers, where transactions are a critical component of customers’ satisfaction. Sellers seek fast and flexible payouts, while both sellers and buyers look for an integrated and seamless experience. With the increasing complexity of multi-party transactions on platforms, these expectations are difficult to meet. Stripe commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Stripe Connect, an offering that allows marketplaces and platforms to accept payments from and send payouts to third parties. Forrester’s interviews with four existing Stripe clients and subsequent financial analysis found that an organization based on these interviewed organizations experienced benefits of $6.1 million over three years versus costs of $1.3 million, adding up to a net present value (NPV) of $4.
Tags : payment solutions, payment processing, pci compliance, platform as a service (paas), business payment solutions
     Stripe
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
Tags : payment security, payment processing, payment solutions, business analytics, platform as a service (paas)
     Stripe
By: Kustomer     Published Date: Aug 27, 2019
One of Away’s core values is being “customer-obsessed”. But Away’s customer service agents had to constantly switch between systems to get the information they needed. Learn how Kustomer enabled them to deliver best-in-class customer experience, in real time.
Tags : “customer service”, “customer support”, “customer experience”, “customer service software”, “conversational commerce”, “streamlined customer support”, “streamlined customer service”, “streamlined customer experience”
     Kustomer
By: KPMG     Published Date: Sep 04, 2019
Key considerations when developing a strong and customer-friendly approach to intelligent authentication. Bank fraud is on the rise. In fact, according to a recent survey of 43 major banks around the world, it’s not just the number of fraud cases that is going up; so, too, is the value of fraud overall. In large part, this increase in fraud is the result of identity theft scams. Rather than attempting some sort of high-stakes virtual bank heist for all the gold in the vault, most online thieves seem content simply stealing money from every-day customer’s accounts when they aren’t looking.
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     KPMG
By: Experian     Published Date: Aug 29, 2019
As organizations and consumers increasingly interact over digital channels, both parties must find ways to establish mutual trust. Experian’s Global Identity and Fraud Report Asia-Pacific (APAC) edition highlights that trusted online relationships are based on businesses providing both a secure environment and seamless consumer experiences. With insights from almost 6,000 APAC consumers, the report found that majority (71%) value ‘security’ as the most important element of an online experience, followed by ‘convenience’ (20%) and ‘personalisation’ (9%). Download the complete 2019 Asia-Pacific Identity and Fraud Report for more details.
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     Experian
By: Schneider Electric     Published Date: Jul 01, 2019
As water is increasingly being recognized as a high-value commodity, aging assets present a major threat to organizations that treat and deliver it. Improving asset performance is one of the most effective strategies water and wastewater plants and networks can implement to reduce costs and protect quality.
Tags : water, plant, pump
     Schneider Electric
By: Gigamon     Published Date: Sep 03, 2019
Network operations teams can no longer ignore the application layer. Application experience can make or break a digital enterprise, and today most enterprises are digital. To deliver optimal performance, network operations tools must be application-aware. However, application-awareness in the network and security tool layer is expensive and difficult to scale. Enterprises can mitigate these challenges with a network visibility architecture that includes application-aware network packet brokers (NPBs). EMA recommends that today’s network operations teams modernize their approach with full application visibility. EMA research has found that network teams are increasingly focused on directly addressing security risk reduction, service quality, end-user experience, and application performance. All of these new network operations benchmarks will require deeper application-level visibility. For instance, a network team focused on service quality will want to take a top-down approach to perfo
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     Gigamon
By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
As Italy’s businesses grew increasingly vulnerable to the threat of ransomware, data breaches, and other malicious malware attacks, service provider Telecom Italia sought an innovative solution to effectively and efficiently protect the network and data of its business users. In this case study, you’ll read about how Italy’s largest service provider partnered with Cisco Umbrella to increase value for customers and accelerate their revenues with cloud security.
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     Cisco Umbrella EMEA
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