Data Science at Home

Latest Episodes:

Improving your AI by finding issues within data pockets (Ep. 195) Apr 21, 2022

Show notes

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 AI monitoring so different from monitoring classic software?
How to reduce the gap between data science and business?
What is the role of MLOps in the data monitoring field?

With over 10 years of experience with AI and as the CPO and head of customer success at Mona, the leading AI monitoring intelligence company, Itai has a unique view of the AI industry. Working closely with data science and ML teams applying dozens of AI solutions in over 10 industries, Itai encounters the wide variety of business use-cases, organizational structures and cultures, and technologies and tools used in today’s AI world.

References

https://www.monalabs.io

Fake data that looks, feels, and behaves like production.(Ep.194) Apr 13, 2022

Show notes

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 computer science, from Tonic.ai. We speak about data. Fake data.

But all we say is authentic.

Links

Tonic website

Career page

Neural networks for synthetic data

Batteries and AI in Automotive (Ep. 193) Apr 01, 2022

Show notes

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 batteries for a long time. His point of views are absolutely a must to listen to.
Below a list of the links he mentioned in the show.

Collect data at the edge [RB] (Ep. 192) Mar 25, 2022

Show notes

In this episode I speak with Manavalan Krishnan from Tsecond about capturing massive amounts of data at the edge with security and reliability in mind.

This episode is brought to you by NordVPN

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and by Amethix Technologies

Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.

References

https://tsecond.us/company/manavalan-krishnan/

Bayesian Machine Learning with Ravin Kumar (Ep. 191) Mar 19, 2022

Show notes

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 uses data to inform decisions.

He has previously worked at Sweetgreen, designing systems that would benefit team members and communities through sustainable and healthy food, and SpaceX, creating tools that would ultimately launch rocket ships.

All opinions in this episode are his own and none of the companies he has worked for are represented.

This episode is brought to you by RailzAI

The Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data. Get free access to their API and more. Just tell them you came through Data Science at Home podcast.

and by Amethix Technologies

References

What is spatial data science? With Matt Forest from Carto (Ep. 190) Mar 02, 2022

Show notes

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 GIS (Geographic Information System).
Enjoy the show!

This episode is brought to you by RailzAI

and by Amethix Technologies

References

Carto https://carto.com

Spatial Feature Engineering: https://geographicdata.science/book/intro.html

CARTO Blog: https://carto.com/blog/

Spatial SQL Resources: https://forrest.nyc/learn-spatial-sql/

Spatial Data Science: https://forrest.nyc/geospatial-python

Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189) Feb 22, 2022

Show notes

In this episode I am with Pasha Zavari - Director of Data Science and Derek Manuge - Co-founder and CTO at Railz.
Railz is a very interesting company with an incredible mission: normalizing and extracting insights from the most tedious data out there, financial data.
Guess what technology stack are they on?
Enjoy the show!

This episode is brought to you by RailzAI

The Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data.