The Data Exchange with Ben Lorica

In this episode of the Data Exchange, I speak Zhe Zhang, Engineering Manager at Anyscale where he leads the team that works on the Ray and its ecosystem of libraries and partners. Ray is an open source, general purpose framework for building distributed applications (more details in this post and video).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.

In this episode of the Data Exchange, I speak with Abe Gong, CEO and co-founder at Superconductive,  a startup founded by the team behind the Great Expectations (GE) open source project. GE is one of a growing number of tools aimed at improving data quality through tools for validation and testing. Other projects in this area include TensorFlow DV, assertr, dataframe-rules-engine, deequ, data-describe, and Apache Griffin.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.

In this episode of the Data Exchange, I speak with Parisa Rashidi,  Associate Professor at the Department of Biomedical Engineering at University of Florida. Parisa is a computer scientist and machine learning researcher who specializes in applications of ML to healthcare and biomedical domains.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.

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Simon Rodriguez,  Data Research Assistant at the Center for Security and Emerging Technology (CSET) at Georgetown University.  Through a series of reports and data briefs, CSET provides policymakers with data rich material to inform and guide public policy.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.

In this episode of the Data Exchange, I speak with Ryan Wisnesky, CTO and co-founder of Conexus, a startup that uses techniques from mathematics and incorporates them into novel tools for data integration, data management, and knowledge management.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.

In this episode of the Data Exchange, I speak with Jian Pei, Professor, School of Computing Science, Simon Fraser University. His research spans data science, big data, data mining, and database systems. But in this podcast we talk about tools for estimating the economic value of data. 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.

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb and I speak with Sharon Zhou, a PhD student in Computer Science at Stanford University. Sharon has been teaching very popular courses on GANs (generative adversarial networks) on Coursera. In this conversation we  examine the state of Education Technology (EdTech), learning platforms, and other tools for teaching online. A year into the global pandemic, we discuss advantages and disadvantages of various technologies for delivering classes, as well as broader issues in education.We also took the opportunity to discuss Sharon’s work on deep learning, including her work using GANs to help the general public and policy makers to better understand the implications of climate change.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.

In this episode of the Data Exchange I speak with Sheldon Fernandez, CEO at Darwin AI, and Alex Wong, Professor at the University of Waterloo, Co-Founder of DarwinAI (Chief Scientist) and Euclid Labs.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.

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Assaf Araki,  investment manager at Intel Capital. Assaf and I have written a series of articles and this interview took place shortly before the release of our most recent collaboration: The Growing Importance of Metadata Management Systems. We devote this episode to how metadata management will impact many enterprise data systems.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.

In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators  were recently awarded one of the best papers awards at NeurIPS 2020, one of leading research conferences in machine learning.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.