Market Snapshot Report Virtual & Cloud-based Labs

Virtualization Vmware storage virtualization

Voke analyst Theresa Lanowitz and her team recently conducted an independent survey of over 500 participants from both technology and non-technology companies of varying sizes to explore their use of virtual and cloud-based labs and the results they experience.
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Spotlight

Deep learning and other AI development techniques are disrupting every industry in an incredible way — self-driving cars, drones, virtual assistants, more accurate medical diagnosis, automatic lead generation, better customer service, cybersecurity, and much more. By leveraging AI solutions, businesses are discovering ways to create exciting new products, cut costs, and boost profits, differentiating significantly from their competitors, and maximizing the investments they’ve made in big data infrastructure and data science talent. However, these benefits do not come without their challenges. Deep Learning and AI is not one-size-fits-all, and in order to derive the maximum benefit, it is crucial for companies to train on their own data sets and modify models and code to fit their unique use cases.

OTHER ON-DEMAND WEBINARS

Denodo DataFest 2018 Ask the Experts: Cloud Modernization / Migration

Denodo

As data grows and diversifies, many organizations are finding that traditional methods of managing information are becoming outdated. Companies who are looking for scalable cloud solutions have the ability to instantly grow or shrink infrastructure using AWS, and Big Data and Analytics services such as Amazon Elastic MapReduce, Amazon Redshift, Amazon Aurora and Amazon S3 to turn data into actionable business insights for creating powerful business solutions.
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Accelerate and Simplify Cloud Migration with VMware Hybrid Cloud Extension (HCX)

Vmware

As companies move to the public cloud to leverage modern, cloud-based infrastructures, the discussion often turns to “How do we get there?” For some companies, this single migration question can create an insurmountable roadblock that either keeps them from moving to the cloud or severely delays their migration.
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Azure Virtual Desktop: Delivering Remote Access-as-a-Service in a Quick, Secure, and Easily Managed Solution

Are you using Remote Desktop Services or Citrix? If so, you need to be looking at Azure Virtual Desktop (AVD). Additionally, if you offer traditional VPN remote access, Azure Virtual Desktop can be a more secure alternative that you should consider. In this on-demand webinar, Interlink, one of the first Microsoft Partners in the country to achieve the Azure Virtual Desktop Advanced Specialization, walk you through common Azure Virtual Desktop use cases, key design principles, and management and security benefits. Powered by the Azure Platform, AVD is a powerful new technology that enables organizations to provide desktop-as-a-service to end-users. Microsoft has streamlined the deployment and management of Azure Virtual Desktop in ways that make it a cost-effective and secure solution for your end-users and applications.
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The State Of Industrial IoT Software Platforms: Insights From The Forrester Wave™

Forrester

The industrial internet of things (IoT) continues to grow in importance as manufacturers around the world chase efficiency improvement, cost reduction, and a wide range of new IoT-enabled business models. In our 24-criteria evaluation, Forrester identified, researched, analyzed, and scored the 15 most significant providers of industrial IoT software platforms.
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Spotlight

Deep learning and other AI development techniques are disrupting every industry in an incredible way — self-driving cars, drones, virtual assistants, more accurate medical diagnosis, automatic lead generation, better customer service, cybersecurity, and much more. By leveraging AI solutions, businesses are discovering ways to create exciting new products, cut costs, and boost profits, differentiating significantly from their competitors, and maximizing the investments they’ve made in big data infrastructure and data science talent. However, these benefits do not come without their challenges. Deep Learning and AI is not one-size-fits-all, and in order to derive the maximum benefit, it is crucial for companies to train on their own data sets and modify models and code to fit their unique use cases.

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