Shadow AI, the Silent Killer of Deep Learning Productivity

Presented by

Gijsbert Janssen Van Doorn, Director of Technical Product Marketing at Run:ai

About this talk

In this latest Data Science Central webinar, meet Shadow IT’s younger sibling. Shadow AI is the result of one-off AI initiatives inside organizations, where siloed AI teams buy their own infrastructure or use cloud compute resources. While no organization wants to stifle the ambition of its data science teams, this decentralized approach results in many AI initiatives never making it to production. Learn from Gijsbert Janssen van Doorn at Run:ai how to centralize AI so that it is accessible and productive across an entire organization. You’ll learn: - Why Shadow AI exists, and how to prevent it at your organization - The benefits of centralizing your AI compute resources - What a best-practice centralized AI infrastructure looks like
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Run:ai’s Atlas platform provides a ‘Foundation for AI Clouds’, whether on premises, across public clouds, or at the edge, allowing organizations to have their AI resources on a single, unified platform that supports AI at all stages of development, from building and training models to running inference in production. Organizations using Run:ai increase resource utilization by an average of 2x. Customers include Fortune 500 companies and cutting-edge AI startups from multiple verticals like finance, automotive, healthcare, and gaming, as well as leading academic AI research centers.