DataFramed Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a Comeback
75 snips
Dec 6, 2024 Explore the rise of AI agents in data science, uncovering their coding prowess and problem-solving capabilities. Delve into the potential comeback of full-stack data scientists and the revival of classic programming languages like Fortran. Discover Python's performance leap and the essential skills that modern data professionals need, including communication and project management. Finally, the hosts express gratitude while anticipating the future of AI, urging a balance between lofty expectations and real-world value.
AI Snips
Chapters
Transcript
Episode notes
Data Science Agents vs. General AI Agents
- Data science agents are more promising than general AI agents for tasks like flight booking.
- Machine learning is the most amenable area for AI agents, with data science being broader and harder to automate.
AI Agents for Creative Data Science
- AI agents could streamline or automate creative data science aspects like problem-solving and scoping solutions.
- Current data science agents are limited, focusing on tasks like exploratory data analysis or answering specific questions within defined datasets.
Building Data Science Coding Agents
- When building data science coding agents, focus on non-creative, automatable tasks for initial productivity boosts.
- Then, gradually incorporate reasoning capabilities for limited use cases before expanding.