Rapid change is underway in the world of digital government. This is not only being driven by huge advances in technology, but also a global community unified by new thinking, bold ideas, and cost-effective, scalable solutions.
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
Companies worldwide are undergoing digital transformations. By modernizing their applications, they can deliver better service to customers, and keep pace in a competitive landscape. In many cases, AWS has helped companies modernize by implementing containers—and initiating cultural shifts— to streamline development. In this eBook, we discuss best practices in containerization and how you can get started today with containers on AWS.
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.
Published By: Dataguise
Published Date: Aug 20, 2019
Co-presented by Dataguise and Amazon Web Services (AWS), this webinar looks at ways this highly regulated industry uses cloud-based technology to manage data governance and data privacy compliance across multiple services within AWS, including S3, RDS, Aurora, and Redshift. This is especially important given new data privacy laws set forth by the General Data Protection Regulation (GDPR) and the California Consumer Protection Act (CCPA) of 2018. You’ll learn specific steps to take toward successful data privacy compliance.
Published By: Applico
Published Date: Aug 12, 2019
In this report you’ll find unique, in-depth analysis of where Amazon Business is
already growing quickly and what markets it’s just beginning to enter. If you want
to understand how Amazon Business is going to impact your distribution business –
and more importantly, how you can fight back – you will want to read on
Published By: Bluecore
Published Date: Oct 23, 2018
If you’re not one of those retailers, you’re likely busy playing catch-up to them – and that’s not a position in which anyone wants to be.
Since eCommerce began, a small handful of leaders have set the pace. They’ve innovated quickly and delivered incredibly valuable and convenient shopping experiences. And in doing so, they shaped consumer expectations.
Take Amazon. Over a decade ago, the online giant seemingly rewrote the natural laws of retail by managing to deliver more, better, faster – all with unmatched accuracy and ease. Now, consumers expect an Amazon-like experience everywhere they shop, and anything else feels subpar.
What you'll learn in this webinar:
Simplify the move from legacy commercial databases or niche database solutions to Amazon Web Services (AWS) with help from experts in database migration and automation software solutions from mLogica.
Watch our webinar to hear how you can transform your legacy environment to an AWS cloud-native infrastructure by migrating to Amazon Aurora. Using mLogica’s fully automated, self-learning mLogica Database Migration Studio, and consultancy service, you can modernize your databases and applications without disrupting your daily operations.
Join our webinar to learn how:
mLogica helped TicketSocket unify and simplify its data and gain efficiencies of cost and scale
You can move enterprise, mission-critical complex databases to AWS
You can break free of commercial licensing obligations
What you'll learn in this webinar:
When you migrate your databases and applications from Oracle to Amazon Aurora, you can take advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS) to optimize your operations so you can focus on innovation. Clckwrk analyzes your existing database environment and creates a plan to embrace an elastic, scalable, cloud-native database solution that can grow with your business and help you eliminate the exorbitant costs of commercial database licenses.
Watch this webinar to learn how:
You can accelerate your migration off Oracle databases to Amazon Aurora with minimized disruption to your business
You can leverage refactor code to work in your new database
Clckwrk can help you establish a unique migration strategy for your needs, supported by a consultation practice that covers discovery to implementation
What you'll learn in this webinar:
Modernize your databases and applications by migrating to Amazon Aurora. Take advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS) to optimize your operations.
TekStream, an AWS Partner Network (APN) Advanced Consulting Partner, specializes in migrating legacy on-premises databases to AWS. Watch this webinar to learn how TekStream helps you break free from commercial database licenses, such as Microsoft and Oracle, and move your databases to the cloud in order to focus on your core business.
Watch our webinar to learn how TekStream can help you:
Understand your options when migrating your databases to Amazon Aurora
Reduce the annual maintenance and support costs associated with commercial database licenses
See how the combination of business consultation and technology implementation can markedly improve operations
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.
Published 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.
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).
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
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.
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.
Published 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).
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.
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.
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.
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.
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.
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.
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 challenges and realize the value of big data.
Download now to find out more.
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