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By: ChannelAdvisor     Published Date: Jul 20, 2018
"If you’re an online retailer, you’re already familiar with the selling power of Amazon. With more than 310 million active user accounts and 44% of all online retail sales in the US going through the marketplace, this e-commerce giant’s influential position continues to expand. But for brands and retailers that want to succeed on Amazon, simply listing your products on the site is not nearly enough. In addition to being proactive and up-to-date with Amazon’s ever-evolving trends and requirements, you must also to take steps to ensure your products and brand stay one step ahead of competitors. In this eBook, we’ll share some of the most important strategies that online retailers and manufacturing brands should employ to succeed on Amazon including how to optimize your search terms and listings, maximize your advertising options, keep your products competitive and more. "
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     ChannelAdvisor
By: ChannelAdvisor     Published Date: Jul 20, 2018
"To consumers, Amazon is a land of plenty. A place where you can find anything. It’s easy to understand why shoppers start more than half of their online product searches on Amazon — and why more than 100 million people pay for premium Prime memberships to unlock access to exclusive deals. As the marketplace that’s set the standard for remarkable ease in browsing and buying, Amazon serves up millions of indexed search results to purchase ready shoppers every single day. That’s why it’s so important to step back and see where your listings stand from your consumer’s point of view. How does the results page break down? Do your products stand out? Or are they easy to miss? Most importantly, do your products even show up? In this eBook, we break down the essential components you need to address to get your products ready to compete for page one search results: - Your product data - The Amazon Buy Box - Amazon advertising"
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     ChannelAdvisor
By: Amazon Web Services     Published Date: Aug 15, 2018
Earning and keeping your customer’s trust is one key to long-term success. In today’s digital world, your customers expect product and service innovations at an increasingly rapid pace. At the same time, customer privacy and data security are under close scrutiny. These trends help to explain why organizations are migrating to Amazon Web Services (AWS): to benefit from the agility, scalability, and security that it offers. AWS has always put cloud security first. This security-centric approach not only helps you more effectively protect your data on AWS, but can also help you meet security and compliance standards.
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     Amazon Web Services
By: Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
Tags : artificial, intelligence, enterprise
     Cylance
By: Hewlett Packard Enterprise     Published Date: Nov 06, 2017
The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).
Tags : infrastructure, cost competitive, cloud, hyper converged, amazon web services, total cost of ownership, tco
     Hewlett Packard Enterprise
By: Amazon Web Services     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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     Amazon Web Services
By: Dell EMC     Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their only option, since many don’t have the capital or expertise to build and operate the IT systems their businesses need. Existing companies with established data centers are also looking at public clouds, to increase IT agility while limiting risk. The idea of building-out their production capacity while possibly reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And like most infrastructure decisions the question of cost is certainly a consideration. In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
Tags : public cloud, it systems, data center, it agility, hyperconverged solution, hyperconverged appliance
     Dell EMC
By: Alert Logic     Published Date: Sep 03, 2014
As more organizations consider a move to the cloud, security remains a top concern. Learn how Alert Logic’s suite of security solutions are designed to provide infrastructure and application security and compliance through a cloud-native model that takes advantage of the AWS business model and elastic scaling capabilities.
Tags : alert logic, amazon web security solutions, aws business model, security
     Alert Logic
By: Amazon Web Services     Published Date: Apr 27, 2018
One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions. This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Apr 28, 2018
AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit. Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store and analyze data that addresses many of these challenges. Data Lake allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data’s power to transform business, it’s critical that organizations overcome these chal lenges and realize the value of big data. Download now to find out more.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Die Recherchen von IDC haben ergeben, dass in den nächsten Jahren die meisten IT-Workloads in die Cloud verschoben werden. Doch neben all den positiven Berichten über Unternehmen, die in die Cloud umziehen, gibt es auch Unternehmen, die sich noch immer fragen, ob ein solcher Wechsel wirklich kosteneffizient ist und welche Vorteile sich aus einem solchen ergeben. Während die Antworten auf solche Fragen von Workload zu Workload variieren, gibt es ein Element, das besondere Aufmerksamkeit auf sich zieht: das Data-Warehouse.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Organisationen müssen heute mit immer größeren Datenmengen zurechtkommen, die aus mehr Datenquellen stammen und mehr Datentypen enthalten als jemals zuvor. Angesichts massiver, heterogener Datenmengen stellen viele Organisationen fest, dass sie eine Datenspeicher- und Analyselösung benötigen, die höhere Geschwindigkeit und mehr Flexibilität als ältere Systeme bietet, um rechtzeitig geschäftliche Erkenntnisse liefern zu können. Ein Data Lake ist eine neue und zunehmend populäre Möglichkeit zur Speicherung und Analyse von Daten, die viele dieser Herausforderungen meistert, indem sie es einer Organisation ermöglicht, alle Daten in einem zentralen Repository zu speichern. Da Daten in ihrem ursprünglichen Format gespeichert werden können, besteht kein Bedarf, sie vor der Übernahme in ein vordefiniertes Schema zu konvertieren, wodurch Sie die Möglichkeit erhalten, all Ihre Daten, sowohl strukturiert als auch unstrukturiert, mit minimaler Vorlaufzeit zu speichern.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Qu'est-ce qu'un lac de données ? Les organisations doivent gérer de plus grands volumes de données, provenant de davantage de sources et contenant plus de types de données que jamais auparavant. Confrontées à des volumes massifs et hétérogènes de données, de nombreuses organisations ont compris que pour proposer des informations stratégiques pour l'entreprise en temps opportun, elles doivent disposer d'une solution d'analyse et de stockage des données qui offre plus de vitesse et de souplesse que les systèmes traditionnels. Un lac de données représente une solution nouvelle et de plus en plus répandue pour stocker et analyser les données. Cette solution relève la plupart de ces défis en permettant à une organisation de stocker l'ensemble de ses données au sein d'un même référentiel centralisé. Comme les données peuvent être stockées sous leur forme initiale, il n'est pas nécessaire de les convertir en un schéma prédéfini avant leur ingestion.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Il est tout aussi facile d'être submergé par l'omniprésent Big Data qu'il l'est pour les organisations d'être découragées par les défis qu'elles rencontrent lorsqu'elles implémentent une initiative en matière de Big Data. Les préoccupations liées aux ensembles de compétences associées au Big Data (et à leur absence), à la sécurité, à l'imprévisibilité des données, aux coûts non viables et à la nécessité d'effectuer une analyse de rentabilité peuvent mettre brutalement fin à une initiative en matière de Big Data.
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     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
Les recherches d'IDC ont démontré le transfert de la plupart des charges de travail informatiques vers le cloud au cours des années à venir. Pourtant, malgré toutes les discussions sur les entreprises qui optent pour le cloud, certaines d'entre elles se demandent toujours si une telle solution est vraiment rentable et quels en seraient les avantages pour elles. Bien que les réponses à ces questions varient d'une charge de travail à l'autre, l'entrepôt de données fait l'objet de toutes les attentions.
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     Amazon Web Services
By: SAP     Published Date: Sep 19, 2017
In today’s digital economy, consumer products (CP) companies face pressures from all sides. Consumers wield great power based on easy access to information about products, pricing, and availability. The barriers of entry for new players with the “next big product idea” are lower than ever. At the same time, channel partners, from big retailers to Amazon, are expanding their own private-label businesses. Added to all that, tremendous volatility persists in the basic costs of doing business, from raw materials, to labor, to shipping, and beyond.
Tags : sap, 4hana, real time supply, digitized sales, software portfolio, value proposition, customer
     SAP
By: SAP     Published Date: Sep 28, 2017
In today’s digital economy, consumer products (CP) companies face pressures from all sides. Consumers wield great power based on easy access to information about products, pricing, and availability. The barriers of entry for new players with the “next big product idea” are lower than ever. At the same time, channel partners, from big retailers to Amazon, are expanding their own private-label businesses. Added to all that, tremendous volatility persists in the basic costs of doing business, from raw materials, to labor, to shipping, and beyond.
Tags : sap, 4hana, real time supply, digitized sales, software portfolio, value proposition, customer
     SAP
By: DellEMC and Intel® Xeon® processor     Published Date: Apr 13, 2017
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).
Tags : dell emc, cloud, hyperconverged solutions, hyperconvergence, amazon, amazon web services, cloud
     DellEMC and  Intel® Xeon® processor
By: CA Technologies     Published Date: Apr 06, 2017
Available as a rack-mounted, hardened hardware appliance, an Open Virtualization Format (OVF) Virtual Appliance or an Amazon Machine Instance (AMI), CA Privileged Access Manager enhances security by protecting sensitive administrative credentials, such as root and administrator passwords, controlling privileged user access and proactively enforcing policies and monitoring and recording privileged user activity across all IT resources.
Tags : cyber attacks, data protection, it security, security solutions, system protector, web security, analytics
     CA Technologies
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