Using AI & Machine Learning to Develop Better...

Together, Leon and Oscar share how applied EDA practices remain the backbone of trustworthy analytics pipelines in both academic and industry settings. Their discussion highlights the challenges and lessons learned from building the EDA Toolkit, and why reproducible workflows are ...  Show more

Kelly discusses how ethical considerations influence machine learning, NLP, and data quality, and how organizations can integrate human-centered thinking into technical decision-making. They also share insights from their upcoming book, The Friendly Guide to Data Science, aime ...

In healthcare, data is becoming one of the most valuable tools for improving patient care and reducing costs. But with massive amounts of information and complex systems, how do organizations turn that data into actionable insights? How can AI and machine learning be used to crea ...  Show more

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How do today’s business leaders balance performance with empathy in a changing ...

How can the tech industry foster a more inclusive environment, and what role does diversity play in driving innovation? In this episode, I sit with Aleks Bass, Chief Product Officer at Typeform, to explore these critical questions and more. Aleks shares her experiences with gende ...  Show more

Sophia Rowland, Senior Product Manager at SAS, discusses her journey from data science to product management at SAS, focusing on the integration of AI and analytics. She explains the concepts of Model Ops and ML Ops, the challenges organizations face in operationaliz ...