Intel, Databricks*, and HEAVY.AI* Streamline End-to-End AI Pipelines
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
Accelerate data science and AI pipelines-from preprocessing through machine learning-and provide interoperability for efficient model development.
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