Build Performant AI Solutions Faster with New Reference Workflows

AI workflows offer critical benefits to just about every organization, including automation of repetitive tasks, customer service enhancements, data analysis, and predictive accuracy.

This session focuses on how Intel is meeting these needs with reference implementations of common solutions in the AI, machine learning, and data science spaces. All reference implementations are tested and validated to optimally use Intel® hardware capabilities while maintaining openness to enable their extensions or reconfigurations without any strings attached.

Get acquainted with these AI workflows, including:

• An overview of these open, reusable software assets.
• How to use the assets—including Intel®-optimized extensions—to reconfigure common AI applications and optimally use the capabilities of Intel hardware.
• Demos using some of the reference implementations.

Your host, Intel senior software engineer Louie Tsai, describes these open, reusable, and portable implementations to help you get a head start on building performant AI solutions quickly.

Skill level: Intermediate

• This session features Intel® Optimization for PyTorch* and Intel® Optimization for TensorFlow*, which you can get as part of the AI Frameworks and Tools.
• Or get them as stand-alone versions