In the beginning (of generative AI)

Feb 2, 2024

The podcast explores phone hacking via frequency, the role of a data engineer, the AI hype cycle, ethical considerations around AI-generated content. They also discuss the tension between AI and traditional engineering and the inevitability of AI integration into everything.

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Introduction

00:00 • 4min

Exploring Point-to-Point and Broker-Assisted Connectivity

03:37 • 3min

The Evolution of Job Titles in Data Science

06:28 • 19min

Creating and Installing Car Tires: Efficiency, Automation, and Practicality

25:43 • 2min

Build versus Buy: Avoiding Undifferentiated Heavy Lifting

27:28 • 6min

Maintaining Focus and Dealing with Constant New Ideas

33:41 • 2min

Maintaining Focus and Drive in Organizational Structures

35:42 • 2min

Communication Challenges and Leadership Frameworks

37:18 • 19min

Exploring the Potential of Automated Content Generation and Reclaiming Control over the Internet

56:16 • 4min

Exploring Generative AI

59:56 • 16min

The Tension between Traditional Engineering and Generative AI

01:16:03 • 6min

Discussion on 'build versus buy' and Sponsor Shout-outs

01:22:05 • 3min

This week on The Changelog we’re talking with Joe Reis about data engineering and the beginning of generative AI. We discuss phone hacking via frequency, the role of a data engineer, this AI hype cycle we’re in, build vs buy, the disconnect between data analysts and the business, ethical considerations around AI-generated content, and more. We also discuss the tension between AI and traditional engineering, as well as the inevitability of AI integration into pretty much everything.

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Featuring:

Joe Reis – Website
Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X
Jerod Santo – GitHub, LinkedIn, Mastodon, X

Show Notes:

Something missing or broken? PRs welcome!