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Coffee Chat: Model Interpretability And How To Create Trust In AI Products
Data Science Salon Podcast
English - April 27, 2022 20:09 - 46 minutes - 42.4 MB - ★★★★★ - 3 ratingsTechnology Business Careers data science artificial intelligence big data data data scientist machine learning Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Coffee Chat: DSS Hybrid Miami 2022
Next Episode: Software Development Skills in ML/AI
This episode is a recording of the panel conversation at the virtual Data Science Salon in April 2022, which focused on AI & machine learning applications in the enterprise.
Charles Irizarry (CEO & Co-Founder at Strata.ai) had the chance to talk to Amarita Natt (Managing Director, Data Science at Econ One Research), Preethi Raghavan (VP, Data Science Practice Lead at Fidelity Investments) and Serg Masís (Climate and Agronomic Data Scientist at Syngenta) about the important topic of model interpretability and how to create trust in AI products.