Building performant and scalable AI applications to address specific industry needs requires AI and data science skills, domain expertise, and a bevy of tools, libraries, and optimization methods. It can be complicated. Worse, it can slow down the time to solution.

This session introduces a remedy: modular, domain-specific AI reference kits from Intel. Plus, this session illustrates the power of these kits with a real-world solution that Act-On Software, in collaboration with Intel, built by using them.

This session includes:

• An overview of five domain-specific AI reference kits, including how to run them with Docker* containers, Argo workflows on Kubernetes* using Helm*, and on bare metal
• A case study with industry partner, Act-On, who used Intel®-optimized AI reference kits and tools to build an efficient, scalable customer-segmentation solution saving significant time and costs
• How to more easily customize the kits to meet your specific use case

Skill level: Novice
 

This session features the following five AI reference solutions:

• Predictive Asset Maintenance
• Credit Card Fraud Detection
• Disease Prediction
• Correspondence Indexing
• Anomaly Detection