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 the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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: Flexential
Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion?
In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
Published By: Flexential
Published Date: Jul 17, 2019
This webinar recording led by Flexential V.P. of Network Services Tim Parker and 451 Research Senior. V.P. of Research Kelly Morgan examines how companies are using edge facilities to control and manage content. Parker and Morgan present strategies for solving latency and security concerns, along with use cases from companies using facilities at “the edge” to get the most from their data – without breaking the bank.
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.
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While the shift from disk to digital offers tremendous potential opportunities, it also presents a host
of new challenges for gaming companies. As the online channel grows increasingly complex and the pace
of innovation accelerates, many companies struggle to keep up. Not only are there websites and storefronts
to manage, but also real-time gaming servers, large software downloads, and live-streamed competitions and
events. Games are transforming from fixed, boxed products to dynamic, ongoing services – with frequently
updated content, in-game micro-transactions, virtual goods and social interactions. Mobile adds another
dimension to the trend, as consumers increasingly look to play on smart phones and tablets – or on multiple
screens across devices.
To successfully navigate this complex and changing landscape, gaming companies need an agile,
high- performance infrastructure that allows them to turn the Internet into a reliable and effective
online distribution channel. This requires f
The ways in which the Internet supports our everyday lives have become richer, more engaging, and more mobile. This innovation is driven by the visionaries, designers, developers, and managers of the web experiences that users consume every day. By exploring new ways to solve challenges and improve products and services that enrich our lives, developers and business owners have stretched the Internet to support use cases for which it was never designed. In order to succeed, modern web experiences must seem simple to end-users, even though most ultimately require complex design and technology to deliver.
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).
Published By: LogMeIn
Published Date: Mar 19, 2015
Remote support technology, including remote control, desktop sharing, and web collaboration, is one of the most popular platforms used across TSIA service disciplines. Today’s remote support solutions offer much more than just remote control for PCs, their functional footprint is expanding to include support for more devices and richer analytics for trend analysis and supervisor dashboards. Remote support solutions are typically well regarded by users, consistently delivering one of the highest average satisfaction scores in TSIA’s annual Global Technology Survey. Service executives should acquaint themselves with the new features and capabilities being introduced by leading remote support platforms and find ways to leverage the capabilities beyond technical support. Field services, education services, professional services, and managed services are all increasing adoption of these tools to boost productivity and avoid on-site visits. Download this white paper to learn more.
Published By: MuleSoft
Published Date: Jan 16, 2018
To achieve efficiencies in today’s turbulent economic climate, government entities need to integrate legacy applications with modern systems and web services. Orchestration between multiple systems across various departments and municipalities is needed to deliver quality public services. At the same time, public sector agencies face aggressive timelines and budget constraints, changing constituent needs, and open source policies. Learn how utilizing a lightweight, standalone Enterprise Service Bus (ESB) enables government entities to meet these key challenges and deliver vital public goods while cutting costs.
Evalute important decisions:
Achieving efficiencies in today’s turbulent budgetary environment
Time to Delivery and Budget Constraints
Constituent Needs and Public Value
Open Source Policies & Initiatives
The Software Architecture for Government
Learn to deliver projects within tight schedules and fiscal constraints - download now.
As a cloud-based business services suite, Microsoft® Office 365™ provides organizations with access to web, mobile and desktop versions of traditional Office software tools, cloud storage space for enterprise file sharing, and hosted services for communication and social. By making these services available across desktop, mobile, and web platforms, Microsoft is experiencing increased adoption from both consumers and businesses while expanding the possibilities for anytime-anywhere collaboration.
Enabling business value through the Mobile Web requires new thinking as well as a shift in technology. Putting “mobile first” and implementing services-based architectures are among the critical steps. The options are limited only to the imaginations of the designers but must be driven by the user’s context.
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).
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.