AI in Action: From Machine Learning Interpretability to Cybersecurity with Serg Masís and Nirmal Budhathoki

In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and
Agronomic Data Scientist at Syngenta. Serg, an expert in machine
learning interpretability and responsible AI, shares his diverse
background and journey into data science. He discusses the
challenges of building fair and reliable ML models, emphasizing the
importance of interpretability and trust in AI. Serg also talks
into his latest book, "Interpretable Machine Learning with Python,"
and provides valuable insights for data scientists striving to
create more transparent and effective AI solutions. In another
compelling episode, Anna sits down with Nirmal Budhathoki, Senior
Data Scientist at Microsoft. Nirmal, who has extensive experience
at VMware Carbon Black and Wells Fargo, focuses on the intersection
of AI and cybersecurity. He shares his journey into security data
science, discussing the unique challenges and critical importance
of applying AI to enhance cybersecurity measures. Nirmal highlights
the pressing need for AI in this field, practical use cases, and
the complexities involved in integrating AI with security
practices, offering a valuable perspective for professionals
navigating this dynamic landscape.