TRANSFORMING AI DEVELOPMENT ON NVIDIA-POWERED DATA SCIENCE WORKSTATIONS

With more data available than ever before for data scientists, it’s crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real-world benefits.
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Spotlight

OTHER ON-DEMAND WEBINARS

Ludicrous Scale on Azure

Avi Networks

These problems are amplified as applications migrate to the cloud. In contrast, the Avi Vantage Platform not only elastically scales up and down based on real-time traffic patterns, but also offers ludicrous scale at a fraction of the cost. Watch this webinar to see how Avi can scale up and down quickly on the Microsoft Azure Cloud.
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IoT: From the Enterprise to the Edge and Back

Cisco

See and hear from internationally recognized IoT experts as they explain edge-to-enterprise and how it will impact you and your organization – in less than 30 minutes. We will discuss ways you can incorporate IoT data, helping you lead the charge when it comes to digital transformation
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3 Benefits of Using Cohesity with Microsoft Azure

Cohesity

The benefits of hybrid cloud are well established. Now customers are looking for a solution that can combine the best of on-premises infrastructure with the public cloud for solving their data management challenges. A 2017 451 Research survey found that data capacity & growth, meeting DR requirements, and high cost of storage were the three biggest storage headaches for customers and public cloud can ease that burden.
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AI Systematic Errors - Who Is Responsible

In contrast to humans, all decisions made by algorithms are systematic and based on user data, sensors, and algorithms. The question is, who is responsible for errors: the provider, the integrator, or the end-user? In most scenarios, responsibility is distributed amongst all stakeholders. Full autonomic systems (including self-driving technology) are not accepted by lawmakers, and a human supervisor is demanded as a backup. Thanks to behavioral science, research knows that humans can be influenced and manipulated by Artificial Intelligence. This is comparable to the animal kingdom in which an alpha rules the pack, but the beta is able to manipulate the alpha.
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