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By: Intel     Published Date: Aug 06, 2014
Purpose-built for use with the dynamic computing resources available from Amazon Web Services ™, the Intel Lustre* solution provides the fast, massively scalable storage software needed to accelerate performance, even on complex workloads. Intel is a driving force behind the development of Lustre, and committed to providing fast, scalable, and cost effective storage with added support and manageability. Intel ® Enterprise Edition for Lustre* software is the ideal foundation. *Other names and brands may be claimed as the property of others.
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     Intel
By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category 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 enterprise architect professionals select the right solution to support their data warehouse platform.
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     snowflake
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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     Group M_IBM Q2'19
By: Domo APAC     Published Date: Mar 04, 2019
Cisco’s marketing team has invested massively in technology over the past two years. This $50 million investment in software has put Cisco at the leading edge of B2B technology marketing. 40 new applications have been put in place, creating one of the most sophisticated marketing technology stacks in the industry, resembling the more consumeroriented Amazon, Google, and Facebook. This investment has earned Cisco’s marketing team plaudits and several industry awards View Domo’s privacy policy
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     Domo APAC
By: MuleSoft     Published Date: Apr 23, 2019
In today’s competitive landscape, businesses need to make decisions quickly in order to respond to rapidly changing customer preferences and nimble competitors; whether it’s a new business strategy, a new business process, or a new market offering, businesses are competing on speed and agility. The overwhelming majority of today’s business and IT leaders understand digital transformation is necessary to maintain leverage amid constantly changing customer preferences. They also have a clear picture of their desired end state—exemplified by leaders like Amazon, Google, and Microsoft. However, only a small minority of have a clear understanding of the path they need to lead the market. In this paper you’ll learn: How to build digital transformation into the root of your company with a practical, natural, and tested blueprint. Best practices from over 1,600 enterprises to transform your strategy, organization, and technology from the ground up. Actionable next steps to start your journ
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     MuleSoft
By: AWS     Published Date: Jun 07, 2019
Respond to customer feedback faster Organizations are demanding greater flexibility from the software they use. Yet, most line-of-business applications are built on top of rigid commercial databases that make them difficult and expensive to deploy. By building applications on top of Amazon Aurora, a cost-effective database solution from Amazon Web Services (AWS), independent software vendors (ISVs) can get away from commercial databases and the hassles they create for end customers. In this webinar, AWS Partner Network (APN) Premier Consulting Partner Onica will show you how to leverage Amazon Aurora to make it easier for customers to operate your software, in turn increasing sales. You will also learn how to leverage the breadth and depth of AWS services to improve developer productivity and become more responsive to customer feedback as a result.
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     AWS
By: AWS     Published Date: Jun 07, 2019
With more data to analyze than ever before, companies are finding new ways to quickly find meaning in their data with artificial intelligence (AI). Natural Language Generation (NLG) technologies deployed on Amazon Web Services (AWS) can enable organizations to free their employees from manual data analysis and interpretation tasks. NLG transforms data into easy-to-understand, data-driven narratives with context and relevance.
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     AWS
By: AWS     Published Date: Jun 07, 2019
Add more value to your business Independent Software Vendors (ISVs) are turning to the cloud to modernize their applications and get rid of their commercial database dependencies to improve application performance, lower total cost of ownership (TCO), and reach new customers. DB Best delivers the established processes and technology ISVs need to accelerate the modernization of applications still running on commercial databases to Amazon Aurora. This enables your customers to quickly get up-and-running on the cloud and drive greater business value through Amazon Web Services (AWS). View the webinar to learn how DB Best and AWS enable you to accelerate every stage of your application modernization journey – from evaluating the right migration path for your application, to following a proven and repeatable database migration process, to driving growth and reaching more customers.
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     AWS
By: AWS     Published Date: Jun 10, 2019
Reduce costs and scale to meet customer expectations Software-as-a-service (SaaS) delivery models are being adopted faster than ever to meet business and consumer demand, prompting organizations to move their customer-facing applications to the cloud. As a result, Independent Software Vendors (ISVs) need to modernize their applications to deliver the flexibility and scale customers expect, without the restrictions and high costs of running applications on commercial databases. mLogica provides deep industry expertise, backed by powerful engineering, to help ISVs quickly modernize their applications on Amazon Aurora and drive greater business value with Amazon Web Services (AWS). Register for our webinar to learn how mLogica and AWS can help you transform your business on the cloud, so you can deliver modern, high-performing solutions to your customers.
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     AWS
By: AWS     Published Date: Jun 11, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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     AWS
By: AWS     Published Date: Jun 11, 2019
Common daily media broadcaster tasks such as ad verification are slow and costly. Done manually, they may also introduce inefficiencies that can interfere with transparency and payment accountability—and impact your bottom line. Meanwhile, recent and archived media lies idle when you could repurpose it to increase brand exposure and generate revenue. Learn how Veritone, Inc. used its aiWARE Operating System, building on Amazon Web Services (AWS), to help Westwood One, Inc., a large audio broadcasting network in the United States, develop Artificial Intelligence (AI) and Machine Learning (ML) solutions designed for ad verification and monetizing archived media. Download our webinar to learn how you can Automate ad verification and reporting tasks. Enhance archive content to make media searchable and reusable. Use AI and ML in the cloud for near real-time media intelligence. Start applying machine learning tools.
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     AWS
By: AWS     Published Date: Jun 11, 2019
Modernize your applications quickly Many organizations are finding their legacy technology to be inadequate due to its rigidity and high costs. In search of more flexible and cost-effective solutions, many are turning to the cloud. Most Independent Software Vendors (ISVs), however, still build their solutions on commercial databases that are expensive and time-consuming for their customers to deploy and maintain. This is a significant undertaking that can hinder adoption. To address these challenges head on, ISVs can modernize their applications on Amazon Aurora, a database offering from AWS that combines the reliability and performance of commercial databases with the cost-effectiveness and flexibility of open source solutions. In this webinar, you will learn how Virtusa, an AWS Partner Network (APN) Premier Consulting Partner, can accelerate your application modernization journey and help you grow your business. PTNR_ipc-database-migration-icon_245×155_Mar-2019.png View the webin
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     AWS
By: AWS     Published Date: Jun 11, 2019
Some organizations are reluctant to migrate to the cloud because they believe they will be forced to learn new skills, start using new tools, and adopt new processes. However, by deploying VMware Cloud on AWS, your organization can continue to leverage existing, familiar VMware investments. This on-demand service delivers a powerful hybrid cloud solution, combining an industry leader in virtualization, VMware, with the largest cloud provider, Amazon Web Services (AWS). One of the first solution providers to achieve the VMware Solution Competency and a participant in the AWS Partner Initiative for VMware Cloud on AWS, RoundTower is uniquely qualified to help your organization adopt and optimize VMware Cloud on AWS. Watch this webinar to see how they can extend your on-premises data center to AWS, enabling you to gain increased flexibility, a rapidly scalable environment, and faster time to innovation. Download our webinar to learn How to take advantage of flexible consumption models t
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     AWS
By: Cisco     Published Date: Dec 11, 2018
The goal of this review is to educate customers on the capabilities that Cisco’s SD-WAN solution provides when working with Amazon Web Services (AWS). ESG describes Cisco’s solution and highlights the business value it can deliver to customers via its integration with AWS. ESG completed this summary as part of an AWS-commissioned report to review nine SD-WAN vendors. Readers should use this review as a starting point when investigating how they can leverage the combination of AWS and Cisco for business advantage. 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
By: Cisco EMEA     Published Date: Mar 05, 2018
Advanced Technology is having a growing impact on our everyday lives. Adoption of advanced technologies and virtual assistants such as Amazon Echo and Google Home are becoming more mainstream in homes. Meanwhile organizations worldwide are increasingly looking at how to implement similar technologies to improve productivity, speed workflows, and increase collaboration among employees, business partners, and even customers. To date, little is known about perceptions of technologies such as artificial intelligence (AI) and virtual assistants in the workplace and how they will impact how we work in the future.
Tags : technology, customers, enterprise, business
     Cisco EMEA
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: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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     AWS
By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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     AWS
By: AWS     Published Date: Sep 05, 2018
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
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     AWS
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 Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes 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
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