Strategies To Hurdle The Last Mile Of AI And Get Into Production Faster

Featuring

About This Webinar

The $15.7 trillion opportunity with AI is here, but the vast majority of AI projects are failing to scale because of a lack in an 'enterprise-wide' scalable AI strategy. At the same time AI Inference at the edge is taking over cloud-based AI strategies. Sound familiar?

Hear from our AI experts at HPE and NVIDIA where they share their insights to overcome this phenomenon and achieve AI success that leads to increased scalability, massive productivity gains and cost savings.

Host Scott Bekker Webinar Moderator ActualTech Media
Special Guest Sorin Cheran PhD | VP, Fellow | Artificial Intelligence Strategy and Solutions Group Hewlett Packard Enterprise
Special Guest Marc Hamilton VP, Solutions Architecture and Engineering NVIDIA
Special Guest Sorin Cheran PhD | VP, Fellow | Artificial Intelligence Strategy and Solutions Group Hewlett Packard Enterprise
Special Guest Marc Hamilton VP, Solutions Architecture and Engineering NVIDIA

What You'll Learn

Develop Edge-to-Cloud AI strategies to address the 'last mile' problem of AI projects
Operationalize and scale AI
Successfully implement new innovations in the form of AI-as-a-service, swarm learning, hyper-parameter optimization and edge deployment

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