The Future of Data Science and Machine Learning?

I feel like there's a lot of tools in different areas. We're now creating the tools on evaluation as well. And what is something using data science that should pay more attention to these days? Mostly evaluation, all the way. But at the same time, which is very interesting is that although we are maturing the tools, the actual science is also changing a lot with generative models and everything else.

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