8 Data-Driven Podcasts You Need To Hear Right Now
Time is limited today, and the thousands of podcasts make it hard to identify those truly worth listening to. These thought-provoking and stimulating webcasts are downright addictive – and very much worth the listen. Featuring innovative topics and developments in data visualization, security, artificial intelligence, machine learning, social computing and more, the following 8 podcasts will keep you current, spark your imagination, and further your curiosity about the future of technology and data’s far-reaching and critical role.
Data Driven Security
An audio companion to the Data Driven Security blog, the series delves into the dark art of data protection and privacy with security experts who are pioneering the data-driven security movement. The bi-weekly podcast covers everything from introductory analysis and data visualization to cutting edge topics like cyber security, data breaches, and vulnerability data. The series also discusses recent headlines and hot topics from major information security conferences such as SIRAcon and B-Sides San Francisco.
The Data Skeptic
Don’t be a skeptic and let names deceive you. This podcast from data scientist Kyle Polich features mini episodes exploring basic data science concepts, ideal for those with limited time and unlimited curiosity. Long-form interviews with data science experts examine a range of topics through a lens of scientific skepticism.
Engineering professor Enrico Bertini and industry expert and consultant Moritz Stefaner host this dynamic podcast on indexical data visualization, ethics, mobile data, science communication, social computing, among a number of groundbreaking topics. Guests include Scott Hughes (MIT physics professor), Robert Kosara (Senior Research Scientist, Tableau Software), and Kim Albrecht (visualization researcher, Center for Complex Network Research).
Learning Machines 101
This podcast, perfect for those new to the world of machine learning and artificial intelligence) gives listeners a behind the scenes look into smart machines and the principles of artificial intelligence. Series host Dr. Richard M. Golden’s credentials are far from elementary, however. The electrical engineering professor has published over 75 articles on theoretical statistical machine learning and served on the editorial board of the Journal of Mathematical Psychology for more than a decade. Questions and topics covered include: how do these devices work? Where do they come from? How can we make them even smarter and more human-like?
The O’Reilly Data Show
The O’Reilly Data Show explores the opportunities and techniques driving big data, data science, and AI. Through interviews and analysis, this business podcast highlights the people putting data to work. Topics range from the importance of emotion in AI systems to open source enterprise data application design. Notable guests include Eric Colson (Chief Algorithms Officer, Stitch Fix, and former VP of Data Science and Engineering, Netflix), Jai Ranganathan (Senior Director of Product Management, Cloudera), and Ben Horowitz, (Co-Founder, Andreessen Horowitz).
Product Hunt Radio
Product geeks unite for PHR, a weekly podcast hosted by Ryan Hoover and Erik Torenberg. Joined by founders, investors, and product folks in the startup community, these two entrepreneurs discuss products, technology, and the people who make them. Guests include entrepreneur and author Arianna Huffington, journalist Felix Salmon, and investor Ben Casnocha.
Hosted by one of tech’s most prominent journalists, Kara Swisher, this podcast features hard-hitting interviews about the week in tech, with influential business leaders and outspoken personalities from media, politics and more, including Evan Williams (CEO, Medium), Congresswoman Nancy Pelosi, and Jeffrey Seller (Producer, Hamilton).
Journalist Katherine Gorman and Harvard engineering professor and machine learning expert Ryan Adams host this bi-weekly podcast known for its real-world, human approach to the world of machine learning. Launched last year, the series features in-depth interviews with industry leaders including Yann LeCun (Director of AI Research, Facebook), Andrew Ng (Chief Scientist, Baidu), and Adam Kalai (Principal Researcher, Microsoft). Topics include: machine learning and the economy, interdisciplinary data, crowdsourcing, and machine learning for real-time predictions in sports.