781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi
Super Data Science: ML & AI Podcast with Jon Krohn
Data Quality and Patents in Enterprise AI Deployments
The chapter emphasizes the critical need for maintaining a distinction between data engineering and data science functions within companies to safeguard data accuracy for AI model development. Additionally, it explores the nuances of patent acquisition, highlighting their varying significance across industries and limited financial benefits in the tech sector.
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