The Future of Data Science

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It's already been game changing in terms of the productivity output from what we've just talked about. But that may just be the tip of the iceberg and what's to come. We'll get there as we all, I'll, I'll hand it back over to you before we go too far. Chris: What are other information streams that are possible to apply this approach to? It can be any kind of information sequence over time that's structured. That's a big topic of interest right now.

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

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