Generative AI in the Real World: Democratizing AI with Gwendolyn Stripling
Gwendolyn Stripling, author of Low-Code AI, talks about the democratization of AI, the primacy of data, the future of data science, and the coming of agents. It’s easy to think that AI is all about algorithms and models but it’s not; it’s really about understanding the business use case and the data that can be applied to that use case. We’re only beginning to have tools for the rest of the job: collecting, preparing, and exploring the data to find out what’s relevant to your business. Looking ahead, Gwendolyn sees generative AI automating even more of the workload. But focusing on the data, and collecting, understanding, and interpreting it, will always be the human part of the job.
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About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.
Timestamps
- 0:00: Introduction
- 0:57: What’s the boundary between no-code and low-code?
- 4:09: Low-code reduces the heavy lifting. But what if you want to learn about AI and ML?
- 6:35: Learning ML isn’t about the tools; it’s about the business case and the data.
- 7:55: Looking ahead five years, what will the professions of data scientist and ML engineer become?