amazon web services

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By: AWS     Published Date: Oct 31, 2018
Watch this webinar to learn how a financial services organization uses a simple, comprehensive data governance solution from Dataguise to discover, protect, and monitor sensitive personal data in real time across all its Amazon Web Services (AWS) data repositories, and to prepare for GDPR compliance.
Tags : financial, services, organization, gdpr
     AWS
By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
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     AWS
By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how a major Healthcare organization is using integrated, reliable, and secure cloud-based solutions from Commvault and Amazon Web Services (AWS) to help address significant data growth while reducing infrastructure costs.
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     AWS
By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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     AWS
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn how Tr?v Insurance Solutions, an insurance agency licensed to sell on-demand property and casualty insurance products, adopted DgSecure on Amazon Web Services (AWS) to anonymize production data to help comply with GDPR and other data privacy regulations. The solution helps Tr?v meet privacy standards while enabling its analytics teams to use data to better serve its clients.
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     AWS
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services (AWS), can help you generate deep insights in minutes, without the need for IT intervention.
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     AWS
By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn best practices from Zaloni for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS).
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     AWS
By: Amazon     Published Date: Nov 07, 2013
This planning and implementation guide discusses planning topics, architectural considerations, and configuration steps relevant before and after launching the necessary AWS services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Virtual Private Cloud (Amazon VPC) to run a high-availability and site-resilient Exchange architecture.
Tags : amazon web services, microsoft exchange, aws cloud, cloud, web services, servers, processor, memory, storage, log replication, network traffic, resiliency, availability, configuration, deployment
     Amazon
By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
Tags : amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis
     Amazon
By: Amazon     Published Date: Nov 07, 2013
An easy way to get started using Amazon Web Services is by deploying development and test workloads. This solution briefing outlines some of the challenges that customers face with these workloads, and how AWS can help address them. In addition, it provides an overview of AWS, highlights some key services for these scenarios and provides links so that you can obtain more information about any service that you are interested in.
Tags : amazon web services, aws, aws cloud, cloud services, cloud computing, development, test, testing, deployment development, test workloads
     Amazon
By: Alert Logic     Published Date: Jun 12, 2014
In a relatively short time, cloud computing, specifically Infrastructure-as a-Service, has shifted from a new but unproven approach to an accepted, even inevitable, model. Driven by flexibility and efficiency, the question facing most organizations is not whether the cloud is part of their infrastructure plans, but which applications and workloads to move to the cloud and when. But even as the benefits of cloud and hosted models have become apparent, concerns persist about security, and an assumption lingers that the cloud is inherently less secure than an enterprise data center environment.
Tags : cloud security, public cloud, amazon web services, cloud pci, secure cloud, security, it management
     Alert Logic
By: Riverbed     Published Date: Feb 21, 2018
Amazon Web Services has transformed how we think of IT infrastructure. It takes minutes to set up elastic compute and storage. As you grow, turning up EC2 instances, VPCs, and AWS services is akin to acquiring more ninja weapons; practice is needed to gain proficiency. With legions of compute and capacity a button-push away, the need to hone your skills in connecting your workforce to the cloud becomes critical. At Riverbed, that’s what we do. We let you spawn a full-mesh VPN network between your VPCs and branches, deploy the latest in cloud architecture trends using transit-VPC designs, and even allow for the use of AWS DirectConnect and VPN connectivity simultaneously using our powerful SD-WAN technology. Ninja-like benefits of agility, speed, and awareness are effortlessly available to you. Watch Riverbed unveil the full power of a true software-defined WAN (SD-WAN) in the cloud with a detailed conversation and live demo. Join us to learn: How the Riverbed-AWS partnership suppor
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     Riverbed
By: CloudEndure     Published Date: Mar 23, 2016
While a public cloud provides an easy and scalable way to manage and deploy your app or website, you also need to have a contingency plan for business continuity and disaster recovery. Often overlooked on Amazon Web Services (AWS), an extremely effective cloud disaster recovery (DR) strategy is to spread the application stack across regions versus availability zones. This eBook provides a guide for planning and implementing a robust cross-region cloud disaster recovery (CDR) plan for business continuity and critical application uptime on AWS-based applications.
Tags : cloudendure, aws, cloud disaster recovery plan, disaster recovery, cloud
     CloudEndure
By: AWS     Published Date: Jun 03, 2019
Companies worldwide are undergoing digital transformations. By modernizing applications, they can deliver better service to customers and keep pace in a competitive landscape. In many cases, Amazon Web Services (AWS) has helped companies modernize by implementing containers—and initiating cultural shifts—to streamline development. In this whitepaper, we discuss recommended best practices around containerization and how AWS can help you get started with containers today.
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     AWS
By: AWS     Published Date: Jun 03, 2019
Background Businesses are often challenged with the complexities of protecting their physical, virtual, and cloud workloads while also meeting their part of the Amazon Web Services (AWS) Shared Responsibility Model. IT security leaders are inundated with too many security tools that aren’t built for their specific environments. Additionally, these responsibilities often entail large amounts of manual processes and people to administer them. As such, there is a need for a solution that provides a secure environment for you to transact your business without slowing you down. Trend Micro™ Deep Security™ is optimized to support the broadest set of platforms and environments (on-premises, virtual, on AWS, or containers) while delivering multiple threat defense techniques to help DevOps teams rapidly detect security incidents, fulfill compliance requirements, and securely deploy containers.
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     AWS
By: AWS     Published Date: Jun 03, 2019
Background While digital transformation helps create many business opportunities, it can also expose your organization to new vulnerabilities and regulations which require new security solutions. Qualys Cloud Platform is intentionally built to give businesses comprehensive visibility and security of Amazon Web Services (AWS) workloads and hybrid environments while avoiding the cost and complexities that come with managing multiple security vendors. Qualys' offerings simplify security on AWS by integrating into workflows for streamlined deployment and use, while providing a complete view of the security and compliance posture of all your AWS assets across multiple accounts and regions from a centralized UI. Attend this upcoming webinar to learn more about the Qualys consolidated stack of security and compliance applications. Also learn how Ancestry.com, the largest for-profit genealogy company in the world, uses Qualys Cloud Platform on AWS to continuously assess their development and
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     AWS
By: AWS     Published Date: Jun 04, 2019
Description Organizations are shifting to containers for its many benefits, including increased developer productivity and an improved, modernized environment for customized applications. While Kubernetes helps organizations get the most out of those benefits, it is complex by nature and can be difficult to manage on your own. Developers need a solution that drives productivity without needing to worry about managing infrastructure. SUSE Cloud Application Platform on Amazon Web Services (AWS) provides a lean and fast platform to accelerate containerized application delivery. By leveraging a managed Kubernetes environment, SUSE makes it easier for DevOps teams to deliver applications, accelerate innovation, and improve IT responsiveness.
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     AWS
By: AWS     Published Date: Jul 24, 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: Jul 24, 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: Jul 24, 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: Jul 24, 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: Jul 24, 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: Jul 24, 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
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