❓ Is Data Science Dead in the Age of AI ❓ In our latest High Signal episode, @hmason shares why the answer is a resounding “No!”—but the field is undergoing profound changes. Automation is transforming workflows, generative AI is reshaping how problems are solved, and the community is moving beyond its “shiny” phase into something more mature. 💡 Fun fact: Hilary was my guest on the first podcast I ever released, nearly a decade ago. It’s amazing to see how much has changed—and how much has stayed the same. Key themes we covered: ✨ From Hype to Maturity Automation is redefining entry-level roles and workflows. What does this mean for the future of data science? 📜 Why Generative AI Needs Context, Not Prompts “Prompting feels like spellcasting, not engineering,” Hilary says. She explains how context-rich systems—like structured data and multimodal inputs—are the key to unlocking AI’s potential. ⏳ A Decade of Interfaces, Not Algorithms Even if machine learning progress stopped today, it would take years to design the workflows, tools, and interfaces needed to fully harness its power. 🎧 This episode, produced by @delphina_ai with @dsgilchrist, dives deep into the evolving landscape of data science and what it takes to thrive in an AI-driven world. Catch the full episode wherever you listen to podcasts, and share your thoughts: • Apple: podcasts.apple.com/us/podcas… • Spotify: open.spotify.com/show/0VewaA… • YouTube: youtube.com/watch?v=X4yfFNUA… • More episodes and show notes: high-signal.delphina.ai/epis…