In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes.

Links

Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138. doi:10.1145/41457.37515. ISBN 089791242X. S2CID 7739589.

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 of the Deephaven platform.

Links

• Deephaven - https://deephaven.io

GitHub:

• Deephaven Community Core - https://github.com/deephaven/deephaven-core

YouTube Channel - https://www.youtube.com/channel/UCoaYOlkX555PSTTJz8ZaI_w

Blog posts 

• Real-time classification with Deephaven and SciKit-Learn - https://deephaven.io/blog/2022/02/02/learn-scikit/

Careers https://deephaven.io/company/careers/

Community Slack http://deephaven.io/slack. 

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.

We speak about the way AI is used for generating customized recommendation and creating experiences with data aggregation and analytics. And yes! respecting the privacy of individuals.

Links

Grow your business with personalized ads https://www.omneky.com/

Data Science at Home Podcast (Live) https://www.twitch.tv/datascienceathome

Let's take a break and think about the state of AI in 2022.

Enjoy!

https://spectrum.ieee.org/artificial-intelligence-index

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.

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.

https://www.monalabs.io

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

In this episode my friend and I speak about AI, batteries and automotive.

1. https://amethix.com

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

NordVPN protects your privacy while you are online. Get secure and private access to the internet by surfing nordvpn.com/DATASCIENCE or use coupon code DATASCIENCE and get a massive discount.

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.

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

This is one episode where passion for math, statistics and computers are merged.

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

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.

• Bayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science)