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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 an deeper understanding of the AI data pipeline and the challenges of human and machine productivity. 

In this webinar we explain the Data Scientist challenges and data challenges across the AI workflow, so IT professionals and Data Scientists can collaborate on building a scalable infrastructure. By drawing upon the experience of many clients, we will provide a roadmap to an infrastructure maturity that delivers value to Data Scientists and protects business data.

Vendor:

IBM

Premiered:

Sep 4, 2020

Format:

Video

Type:

Webcast