

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

Oct 28, 2021 • 43min
AI Begins With Data Quality
This week’s guest is Jeremy Stanley, co-founder and CTO of Anomalo, a startup building SaaS tools to help companies with data quality. Prior to Anomalo, Jeremy was VP of Data Science at Instacart.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Oct 21, 2021 • 38min
Modernizing Data Integration
This week’s guest is Michel Tricot, co-founder and CEO of Airbyte, a startup behind the popular open source project with the same name. While still a relatively young open source project, Airbyte has emerged a favorite among data and platform engineers tasked with building and maintaining data integration systems within companies.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Oct 14, 2021 • 42min
Deploying Machine Learning Models Safely and Systematically
This week’s guest is Hamel Husain, Staff Machine Learning Engineer at GitHub and a core developer for fastai. Prior to GitHub, Hamel worked on machine learning applications and systems at Airbnb and DataRobot.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Oct 7, 2021 • 32min
Large-scale machine learning and AI on multi-modal data
This week’s guest is Bob Friday, VP and CTO at Mist Systems a Juniper Company. Bob is a serial entrepreneur and seasoned technologist, and at Mist his team uses data technologies, machine learning , and AI to “optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains”. Bob and his team build models from structured, semi-structured, and unstructured data. They have deployed anomaly detection models that rely on deep learning (LSTMs) and have begun exploring the use of graph neural networks for a variety of use cases. They have also built and deployed systems that use recent advances in natural language models. Their virtual assistant provides insight and guidance to IT staff via a natural language conversational interface.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Sep 30, 2021 • 41min
Machine Learning in Astronomy and Physics
This week’s guest is Dr. Viviana Acquaviva, Associate Professor in the Physics Department at the CUNY NYC College of Technology and at the CUNY Graduate Center. She is an Astrophysicist with a strong interest in Data Science and Machine Learning.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Sep 23, 2021 • 51min
The Unreasonable Effectiveness of Multiple Dispatch
This week I have my annual check-in on the state of Julia with Viral Shah, Co-founder and CEO of Julia Computing. Since we spoke last year, Julia continues to make inroads and grow its user base, and Julia Computing closed their $24M Series A round in July.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Sep 16, 2021 • 44min
How To Lead In Data Science
This week our special correspondent and editor Jenn Webb and I speak with Jike Chong and Cathy Chang, executives and seasoned leaders of data science teams. Our conversation is focused on their new book “How to Lead in Data Science”.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Sep 9, 2021 • 53min
Why interest in graph databases and graph analytics are growing
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Paco Nathan, author, teacher, and founder of Derwen.ai, a boutique consulting firm specializing in Data, machine learning, and AI. Of late, Paco has been doing a lot of work with graphs and as such he’s had to immerse himself in the world of graph data management technologies. This conversation is focused on what’s new with graph databases, and why there’s been a resurgence in interest in them. We also discuss use cases of graph databases, graph analytics, and graph neural networks. Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Sep 2, 2021 • 54min
The State of Data Journalism
This week our special correspondent and editor Jenn Webb speak with Tara Kelly, Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre. DJC provides journalists and media groups with free resources, materials, online video courses and community forums. Most recently they created two free e-books: The Verification Handbook and an updated edition of the Data Journalism Handbook.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Aug 26, 2021 • 52min
Auditing machine learning models for discrimination, bias, and other risks
This week’s guest are Rayid Ghani, Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, and Andrew Burt, co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance, risk mitigation, and related topics. BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate risks associated with machine learning and AI.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.