Machine Learning for Equitable Healthcare Out...

AI agents are becoming accessible to everyone, raising the bar for developers building the next generation of agent products. When capable, general-purpose agents are available out of the box, differentiation increasingly comes down to the architectural decisions and specialized ...  Show more

AI agents need the institutional knowledge experienced employees rely on: why a system works a certain way, which policies apply, and what never made it into the documentation. Capturing that knowledge is hard. Keeping it useful as people and agents add more may be harder. In thi ...  Show more

Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning. In this episode you will learn: Comet ML [3:22] What is a data science evangelist? [7:08] FullyConnected [12:04] Impost ...  Show more

Dr. Marzyeh Ghassemi has been at the forefront of medical machine learning for several years. In this episode, she describes her group’s work and her perspectives on developing and applying machine learning to und ...

Today's guest is Jane Chen, Director of Commercial Analytics for Women's Cancer at Novartis. Jane joins us on the program today to highlight challenges in identifying and segmenting specific patient groups, particularly those with rare or niched diseases. Throughout the episod ...