Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Analysis
This article summarizes a podcast episode featuring Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. The discussion centers on Hearst's implementation of machine learning, exploring their motivations, early projects, data acquisition challenges within a large organization, and the advantages of using Google's BigQuery. The episode provides insights into the practical application of ML in the publishing industry, highlighting both opportunities and hurdles.
Key Takeaways
- •Hearst Newspapers is actively using machine learning.
- •Data acquisition is a key challenge in implementing ML in large organizations.
- •Google's BigQuery is a beneficial data warehouse solution for Hearst.
“In our conversation, we discuss into the role of ML at Hearst, including their motivations for implementing it and some of their early projects, the challenges of data acquisition within a large organization, and the benefits they enjoy from using Google’s BigQuery as their data warehouse.”