The Data Exchange with Ben Lorica
Ben Lorica
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
Episodes
Mentioned books
Nov 26, 2019 • 40min
Building large-scale, real-time computer vision applications
In this episode of the Data Exchange I speak with Reza Zadeh, founder and CEO of Matroid, a startup focused on making computer vision applications easy to build and deploy. Reza is also an adjunct professor at Stanford.This particular conversation spanned many topics pertaining to computer vision, including:Challenges in building large-scale, real-time computer vision applications.Robustness of computer vision applications (adversarial attacks, deepfakes).Impact of computer vision technologies on society: security, privacy and surveillanceWe also preview the upcoming 2020 edition of the ScaledML conference: Reza is the main organizer behind one of my favorite conferences in the SF Bay Area.[full show notes can be found on the Data Exchange site.]
Nov 12, 2019 • 45min
Taking stock of foundational tools for analytics and machine learning
In this episode of The Data Exchange, I speak with Paco Nathan, author, teacher, and founder of Derwen.ai, a boutique consulting firm specializing in Data, ML, and AI. Paco consults with companies and speaks before audiences all over the world, and I plan to have him as a frequent guest on this podcast to draw on his observations of diverse organizations.This particular conversation spanned many topics, including:Data Governance: Paco’s talk on the topicAutoML: Paco’s talk on the topicPyTorch and TensorFlow: posts we discussed - [1], [2]Reproducibility and feature selectionThe Streamlit open source project for ML app development, and Grus Law (“if you can think up something crazy and/or dangerous to do with notebooks, people are doing it.”)I want this to be more than just a podcast. I want to create a community to help people make better decisions. A key part of this is getting you involved. I have ideas on how this community will grow, but as a first step, I want to ask a question related to one of the topics that Paco and I discussed: PyTorch and TensorFlow. I'd love to have you weigh in by filling out the survey form. I'll report on results and key insights in a future episode of this podcast.[full show notes can be found on the Data Exchange site.]
