#16 How to stay connected to academia & research while in corporate data science - DODS

Did you know? n the past year, 76% of graduating North American PhDs in AI went into industry — up from 44.4% in 2010. This shift highlights the increasingly significant role industry is playing in AI development. By 2023, industry produced 51 notable machine learning models, while academia contributed only 15. 🤯 (Statistics from the AI Index Report, 2024, Stanford) In this episode, we explore💡: 1️⃣ The Importance of Collaboration: Discover why it's crucial for data scientists in corporate roles to collaborate with universities and the immense benefits these partnerships can bring. 2️⃣ How to Start Collaborations: We share practical ways and channels to initiate and foster collaborations between industry and academia. 3️⃣ The Downsides: We don't shy away from discussing the challenges and downsides of balancing research and corporate responsibilities as a data scientist. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity 🖇️ Useful links (unpaid advertisement, personal recommendations):: AI Index Report by Stanford, 2024: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf

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