Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you:
1. Overcome the worldwide shortage of experienced data center professionals
2. Understand how out-tasking data center operations can benefit you & your clients
3. Identify key characteristics of a strong data center operations partner
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.
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.
Watch this webinar to learn how Slalom helped Veripad enhance the accuracy of their machine learning models using AWS services. Together they helped health professionals detect fraudulent medications more accurately than the human eye.
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.
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.
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.
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.
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
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.