The 61st episode of Datacast is my chat with Louis Kirsch— a Ph.D. student at the Swiss AI Lab IDSIA, advised by Prof. Jürgen Schmidhuber.

We had a wide-ranging conversation covering his interest in programming growing up, his foray into AI research, the intersection of meta-learning and reinforcement-learning, contemporary challenges in AI, working with professor Schmidhuber, and much more.

Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) TuneIn, (5) RadioPublic, (6) Stitcher, and (7) iHeart Radio

Key Takeaways

Here are highlights from my conversation with Louis:

I started programming when I was about 10. I…


Transform Sessions (Source: https://scale.com/events/transform)

A few weeks ago, I attended Transform, Scale AI’s first-ever conference that brought together an all-star line-up of the leading AI researchers and practitioners. The conference featured 19 sessions discussing the latest research breakthroughs and real-world impact across industries.

In this long-form blog recap, I will dissect content from the session talks that I found most useful from attending the conference. These talks cover everything from the future of ML frameworks and the importance of a data-centric mindset to AI applications at companies like Facebook and DoorDash. …


The 60th episode of Datacast is my interview with Dzejla Medjedovic— the Assistant Professor of Computer Science at the International University of Sarajevo and the author of “Algorithms and Data Structures for Massive Datasets.”

We had a wide-ranging conversation covering her foray into studying Computer Science, her Ph.D. in Applied Algorithms at Stony Brook University, her love for teaching, her industry internships at Microsoft, her Manning book, the tech scene in Sarajevo, and much more.

Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) TuneIn, (5) RadioPublic, (6) Stitcher, and (7) iHeart Radio

Key Takeaways

Here…


Source: http://dataopsunleashed.com/

Last week, I attended DataOps Unleashed, a great event that examines the emergence of DataOps, CloudOps, AIOps, and other professionals coming together to aggregate conversations around the latest trends and best practices for running, managing, and monitoring data pipelines.

In this long-form blog recap, I will dissect content from the session talks that I found most useful from attending the summit. These talks are from DataOps professionals at leading organizations detailing how they establish data predictability, increase reliability, and create economic efficiencies with their data pipelines.

1 — Data Quality in DataOps

As the world’s leading tool for data quality, Great Expectations occupies a…


The 59th episode of Datacast is my interview with Willem Pienaar — the Engineering Lead at Tecton and the creator of Feast, a feature store for machine learning.

We had a wide-ranging conversation that covers his entrepreneurial journey founding and selling a networking startup in college, his time building industrial data systems, his work on designing and scaling Gojek’s Machine Learning platform, his well-known open-source feature store Feast, his move to Tecton to build an enterprise-grade feature store, and much more.

Listen to this episode on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) Stitcher, (5) Breaker, (6)…


The 58th episode of Datacast is my interview with Jim Dowling — the CEO of Logical Clocks AB, an Associate Professor at KTH Royal Institute of Technology, and a Senior Researcher at SICS RISE in Stockholm.

We had a wide-ranging conversation that covers his Ph.D. in distributed systems, his applied research work at RISE, his teachings at KTH, his explanation of distributed deep learning, his contribution to HopsFS, the development of Logical Clocks’ Hopsworks platform, the rise of feature stores in ML pipelines, public-research vs. VC-funded money, worrying trends in the European tech ecosystem, and much more.

Listen to…


The 57th episode of Datacast is my interview with Pier Paolo Ippolito — a data scientist at SAS Institute and prolific technical writer.

Our conversation covers his time at the University of Southampton, his research on causal reasoning in ML, his involvement with TDS Editors, his data science projects with impressive visualizations, and more.

Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) Stitcher, (5) iHeart Radio, (6) RadioPublic, and (7) TuneIn


Source: https://www.re-work.co/summits/deep-learning-virtual-summit-2021

At the end of January, I attended REWORK’s Deep Learning 2.0 Virtual Summit, which brings together the latest technological advancements and practical examples to apply deep learning to solve challenges in business and society. As a previous attendee of their in-person summit, I enjoyed the unique mix of academia and industry, with sessions from deep learning pioneers at the research forefront and deep learning practitioners building real-world applications.

In this long-form blog recap, I will dissect content from the talks that I found most useful from attending the summit. …


The 56th episode of Datacast is my interview with Alba Cervera-Lierta— a Postdoctoral fellow at the Matterlab group at the University of Toronto.

We had a wide-ranging conversation that covers her foray into studying physics; her research in Bell Inequalities, multipartite entanglement, and entanglement in fundamental interactions; her current work that intersects quantum computation and machine learning; her education and public outreach activities to spread awareness about quantum technologies, and much more.

Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) Stitcher, (5) iHeart Radio, (6) Breaker, and (7) RadioPublic

Key Takeaways

Here are highlights from…


The 55th episode of Datacast is my conversation with Jean-Yves Stephan — the CEO & Co-Founder of Data Mechanics, a Y-Combinator-backed startup building a data engineering platform that makes Apache Spark more developer-friendly and more cost-effective. Give it a listen to hear about his M.S. degree at Stanford, his experience leading Spark infrastructure at Databricks, his motivation to build Data Mechanics and go through YC, the tech community in France, and much more.

Listen to the show on (1) Spotify, (2) Apple Podcasts, (3) Google Podcasts, (4) Stitcher, (5) iHeart Radio, (6) Breaker, and (7) TuneIn

Key Takeaways

Here are highlights…

James Le

Data >< Product >< Community | https://jameskle.com/ | @le_james94

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