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Every organization and department is working on or planning AI projects. Machine Learning frameworks, like TensorFlow, and solutions, like PowerAI Vision, make AI accessible with only modest investment.

However, the ability to efficiently scale AI or bring it to production requires a deeper understanding of the AI data pipeline and the challenges of human and machine productivity.

This webinar explains the Data Scientist challenges and data challenges across the AI workflow, so IT professionals and Data Scientists can collaborate on building a scalable infrastructure. Tune in to view a roadmap to an infrastructure maturity that delivers value to Data Scientists and protects business data.

Vendor:

IBM

Premiered:

Nov 1, 2019

Format:

HTML

Type:

Webcast