November 21, 2022

Autonomous cars cannot drive. Here is why. (Ep. 210)

If you think that the problem of self-driving cars has been solved, think twice.As a matter of fact, the problem of self-driving cars cannot be solved […]
November 9, 2022

Evolution of data platforms (Ep. 209)

Let’s look at the history of data platforms. How did they evolve? Why?Shall I switch to the latest architecture?Enjoy the show! Our Sponsors Explore the Complex […]
November 3, 2022

[RB] Is studying AI in academia a waste of time? (Ep. 208)

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new […]
October 25, 2022

Private machine learning done right (Ep. 207)

There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably […]
October 16, 2022

Edge AI for applications in military and space (Ep. 206)

Our Sponsors Ready to advance your career in data science? The University of Cincinnati Online offers nationally recognized educational programs in business analytics and information systems. […]
October 14, 2022

[RB] What are generalist agents and why they can change the AI game (Ep. 205)

That deep learning alone is not sufficient to solve artificial general intelligence, is more and more accepted statement. Generalist agents have great properties that can overcome […]
September 28, 2022

LIDAR, cameras and autonomous vehicles (Ep. 204)

How does an autonomous vehicle see? How does it sense the road? They are equipped of many sensors, of course. Are they all powerful enough? Small […]
September 23, 2022

Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

Sometimes applications crash. Some other times applications crash because memory is exhausted. Such issues exist because of bugs in the code, or heavy memory usage for […]
September 14, 2022

Is studying AI in academia a waste of time? (Ep. 202)

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence.
September 7, 2022

Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

Neural networks are becoming massive monsters that are hard to train (without the “regular” 12 last-generation GPUs).Is there a way to skip that? Let me introduce […]
September 7, 2022

Online learning is better than batch, right? Wrong! (Ep. 200)

In this episode, I speak about online machine learning systems and why blindly choosing such a paradigm can lead to unpredictable and expensive outcomes. Also, in […]
June 3, 2022

What are generalist agents and why they can change the AI game (Ep. 199)

That deep learning alone is not sufficient to solve artificial general intelligence is a more and more accepted statement. Generalist agents have great properties that can […]
May 27, 2022

Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

In this episode, I am with Chip Kent, chief data scientist at Deephaven Data Labs. We speak about streaming data, real-time, and other powerful tools part […]
May 16, 2022

Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

In this episode I speak with Matt Swalley, Chief Business Officer of Omneky, an AI platform that generates, analyzes and optimizes personalized ad creatives at scale. […]
May 16, 2022

State of Artificial Intelligence 2022 (Ep. 196)

Let’s take a break and think about the state of AI in 2022.In this episode I summarize the long report from the Stanford Institute for Human-Centered […]
May 16, 2022

Improving your AI by finding issues within data pockets (Ep. 195)

In this episode I have a conversation with, Itai Bar-Sinai, CPO & Cofounder of Mona. We speak about several interesting points about data and monitoring.Why is […]
April 21, 2022

Fake data that looks, feels, and behaves like production.(Ep.194)

I am with Ander Steele, data scientist and mathematician with a passion for privacy and Shannon Bayatpur, product manager with a background in technical writing and […]
April 21, 2022

Batteries and AI in Automotive (Ep. 193)

In this episode my friend and I speak about AI, batteries and automotive.Dennis Berner, founder of Digitlabs has been operating in the field of automotive and […]
April 21, 2022

Bayesian Machine Learning with Ravin Kumar (Ep. 191)

This is one episode where passion for math, statistics and computers are merged.I have a very interesting conversation with Ravin,  data scientist at Google where he […]
April 21, 2022

What is spatial data science? With Matt Forest from Carto (Ep. 190)

In this episode I am with Matt Forrest, VP of Solutions Engineering at Carto. We speak about machine learning applied to spatial data, spatial SQL and […]
April 1, 2022

Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)