The Changelog: Software Development, Open Source In the beginning (of generative AI) (Interview)
Feb 2, 2024
In this captivating discussion, Joe Reis, a best-selling author and expert in data engineering, delves into the nascent world of generative AI. He explores the ethical dimensions of AI-generated content and the crucial role of data engineers as the landscape evolves. The conversation unravels the tension between AI and traditional methods, while highlighting the importance of collaboration between engineering teams and business needs. Reis shares personal anecdotes illustrating how these technologies can enhance creativity, reminding us of the essential human touch in storytelling.
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Recovering Data Scientist
- Joe Reis jokingly refers to himself as a "recovering data scientist".
- He explains this as a tongue-in-cheek reference to the hype around data science and the frequent lack of foundational data infrastructure in many companies.
Evolving Data Roles
- Data science job titles often become broad, encompassing various roles like analyst and machine learning engineer.
- This trend is also occurring with data engineering, which initially emerged from "big data engineer."
Practical AI Naming
- When naming the Practical AI podcast, the hosts debated focusing on "data" vs. "AI."
- They wisely chose "AI," anticipating its broader relevance, which led to significant audience growth after the ChatGPT hype cycle.
