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Published By: Amazon Web Services     Published Date: Feb 01, 2018
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
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machine learning, algorithms, interal systems, amazon
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet. Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
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digital, technologies, optimization, amazon
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Migrating mission-critical workloads like SAP to the cloud is a vital part of any digital transformation. However, it’s now become a matter of “when,” rather than “if.” When deciding on a cloud provider, Business and IT executives are under pressure to find a solution that enables reduced costs, greater agility, and above all, the ability to innovate core business processes. But how do you execute this migration without risking downtime and productivity loss? Download our eBook on Migrating your SAP environment to AWS
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 16, 2018
How to be a Super Hero in the Cloud
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 16, 2018
SAP and Amazon Web Services (AWS) have jointly developed a cloud-migration test program, Fast Amazon SAP Transformation (FAST), that helps you address time- and cost-related uncertainties when migrating HANA to the AWS cloud. This analyst report from Ovum explores how FAST (a four-step testing process) drastically reduces uncertainties about the time and costs involved in your HANA cloud migration. Download the report now and you’ll discover how FAST can help you: -Quickly quantify costs, risks, and time for migrating SAP ERP applications to the AWS Cloud. -Run your mission-critical applications faster and more reliably Migrate your SAP HANA database to the cloud in only a few days with minimal infrastructure cost Read the Report
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 16, 2018
New and existing SAP customers can confidently deploy their mission-critical workloads on AWS knowing that AWS and SAP have worked closely to test and certify that the AWS Cloud meets the stringent performance and availability needs of SAP workloads. Hundreds of enterprise SAP customers run SAP solutions on AWS and are achieving increased flexibility, performance, and security, while simultaneously cutting their costs by migrating to AWS. Download our whitepaper: Leveraging the Cloud for Speed, Agility and ROI.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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Amazon Web Services
Published By: WorkBook from Deltek     Published Date: Apr 26, 2018
Built on Amazon Web Services, Deltek’s powerful ERP software delivers an enterprise level of service and collaboration. Our best-in class ERP solution maximizes end user productivity through industry and role specific functionality, while providing unparalleled speed, scalability, flexibility, security and agility for advanced performance. Deltek can help your firm better serve clients and increase profitability.
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deltek, roi, professional, services, firm, web, amazon
    
WorkBook from Deltek
Published By: Amazon Web Services     Published Date: Aug 01, 2018
Learn more about the AWS Partner Webinar Series at - https://amzn.to/2ILG0R7. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Aug 06, 2018
Learn more Salesforce and Amazon Web Services at http://amzn.to/2zhcn1v. Building and releasing cutting-edge applications quickly can be difficult when you lack proper tooling and integrated customer data. Salesforce Heroku delivers a cloud-native, developer-friendly platform that streamlines application development by integrating formerly siloed customer data and removing the burden of infrastructure management, allowing developers to focus their attention solely on creating customer-centric applications. Join the upcoming webinar to hear how the Financial Times builds customer-driven applications with faster cycle times with Heroku and AWS.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Aug 23, 2018
AWS supports healthcare organizations with HIPAA Eligible Services and the AWS Healthcare Compliance program. AWS products and services are being used by many customers that handle electronic patient health information (PHI) to build solutions that meet HIPAA and HITRUST regulatory requirements for cloud-based workloads. In this webinar, you’ll learn how AWS HIPAA Eligible Services can help you build secure workloads to handle PHI in compliance with HIPAA and HITRUST standards. AWS Healthcare experts will be joined in this webinar by AWS Partner Network (APN) Partners ClearDATA and Cloudticity.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Aug 06, 2018
Learn more about AWS Partner Webinars at - https://amzn.to/2I6ogPM. In this webinar, you will learn about VMware Cloud on AWS, an integrated hybrid cloud offering jointly developed by AWS and VMware delivering a highly scalable, secure and innovative service that enables organizations to seamlessly migrate and extend their on-premises VMware vSphere-based environments to AWS running on next-generation Amazon Elastic Compute Cloud (Amazon EC2) bare metal infrastructure.
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Amazon Web Services
Published By: Amazon Web Services     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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Amazon Web Services
Published By: Amazon Web Services     Published Date: Nov 14, 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. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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Amazon Web Services
Published By: Brocade     Published Date: Nov 25, 2015
Your business demands more than the basic load balancing solution offered by Amazon Web Services. Boost application performance by adding a sophisticated Brocade vADC to seamlessly integrate with any application deployed on AWS—improve user experience, scalability, and control.
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amazon, brocade, aws, fucntionality, amazon elb, web services
    
Brocade
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
La sfida Come ci si può aspettare, le aziende che intraprendono un percorso di digital transformation devono affrontare maggiori problemi correlati a rischi e sicurezza. Le iniziative di digital transformation aumentano inevitabilmente il numero dei punti di accesso all'infrastruttura aziendale che sfuggono ai controlli esistenti, sono accessibili a un numero superiore di set di identità diversi e proliferano all'interno di un'infrastruttura distribuita e dinamica. L'opportunità Conoscere i propri utenti con privilegi significa conoscere i rischi. Di per sé, gli strumenti di privileged access management devono essere in grado di supportare l'automazione nel processo di autorizzazione e garantire la scalabilità attraverso il supporto di operations dinamiche e infrastrutture effimere, come gli account amministrativi Amazon Web Services (AWS) per le identità umane.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
Défi Les organisations engagées dans un processus de transformation numérique sont davantage préoccupées par des questions liées au risque et à la sécurité, ce qui n’a rien de surprenant. Les initiatives de transformation numérique entraînent inévitablement une augmentation du nombre de points d’accès à l’infrastructure de l’entreprise qui se situent en dehors des contrôles existants et sont accessibles par des identités plus nombreuses et plus variées qui prolifèrent à l’intérieur d’une infrastructure distribuée et dynamique. Solution Connaître vos utilisateurs privilégiés, c’est connaître vos risques. Les outils de gestion des accès à forts privilèges doivent eux-mêmes être en mesure de supporter l’automatisation du processus d’autorisation et permettre l’évolutivité grâce à la prise en charge des opérations dynamiques et de l’infrastructure éphémère, comme les comptes d’administration AWS (Amazon Web Services) pour les identités humaines.
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CA Technologies EMEA
Published By: Trend Micro     Published Date: May 03, 2018
This whitepaper looks to address the Top 3 challenges your team faces when building in the cloud and what it means for your business. Although the capabilities and cost of select SecOps solutions have kept pace with the widespread adoption of the Amazon Web Services (AWS) Cloud, many organizations try to protect their expanding cloud workloads without the proper support.
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Trend Micro
Published By: Trend Micro     Published Date: May 03, 2018
Hybrid cloud security is a hot topic, especially with the massive growth of public cloud providers like Amazon Web Services (AWS), Microsoft® Azure™ and Google Cloud. With the emergence of the hybrid cloud, where workloads are deployed across physical, virtual, and cloud, security professionals are constantly being challenged to evolve their security practices to adapt to this new architecture. Trend Micro Hybrid Cloud Security, powered by XGen™, takes a blended approach. It combines multiple cross-generational threat defense techniques for protecting hybrid environments. When one technique isn’t effective against a given threat, another will step in to eliminate the threat.
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Trend Micro
Published By: Amazon Web Services     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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Amazon Web Services
Published By: Amazon Web Services     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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Amazon Web Services
Published By: Amazon Web Services     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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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
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