Intel, Databricks*, and HEAVY.AI* Streamline End-to-End AI Pipelines

Intel, Databricks*, and HEAVY.AI* Streamline End-to-End AI Pipelines

@IntelDevTools

Subscribe Now

Stay in the know on all things CODE. Updates are delivered to your inbox.

Sign Up

Overview

The focus in AI is often on training. But in reality, AI development starts with data. Data loading, preprocessing, and feature engineering often consume a significant portion of the development pipeline.

In this video, Meena Arunachalam of Intel, Dr. Mike Flaxman of HEAVY.AI* (formerly OmniSci*), and Skip Dupree of Databricks* take a closer look at data, including:

  • Using Intel® software for end-to-end AI development
  • How Intel collaborated with HEAVY.AI to make big data interactive and with Databricks to speed up analytics and AI model development
  • End-to-end performance improvement metrics for a 50-year US census dataset and document-level sentiment analysis (DLSA)

 

Other Resources

Jump to:

You May Also Like
 

AI Tools

Accelerate data science and AI pipelines-from preprocessing through machine learning-and provide interoperability for efficient model development.

 

 

See All Tools