The episode with Ashley Wolf is ready to be added to the gallery page, the repository page, and an individual page for the episode.

Episode description
It’s a consistent pattern at most companies: High-value data and corporate memory are stored in isolated channels on disparate systems. Old processes are protected by those who have been there the longest. The problem is, the DNA of the company becomes lost as long-time employees depart, making it difficult for new hires to find what is available, why decisions were made, and who they can look to for answers.

Michael Lewis talks about this in his podcast, “Against the Rules” in the series “Six Levels Down”. When he was looking for someone who actually understood how the insurance industry processes claims and what all the obfuscated code numbers meant, and how doctors actually get claims paid, he had to go six levels deep, to an overworked expert, toiling away down in the hospital basement. She actually knew what all that gobble-di-goop meant.

Ashley Wolf, Open Source Program Office Lead at GitHub, has confronted this dilemma throughout her career. Not only can there be missing documentation for existing processes, there is pushback when it came to phasing out outdated processes and tooling.

Resources
All major audio streaming platforms hosting the show

What is the process for recommending someone to be interviewed?

Is there a queue? Can that queue be public data? So that we can do a PR to it?

The episode with Gabriele Columbro is ready to be added to the gallery page, the repository page, and an individual page for the episode.

Episode description
With major software vulnerabilities popping up on what seems like a weekly basis and government regulation imminent when it comes to providing a software bill of materials for any application sold to the United States government, collaboration on open source security is no longer optional.

Large enterprises have come to realize that it's better to work together, to find common solutions rather than go it alone. Some financial service companies have been hesitant to embrace the inevitable move to open source. They perceive it to be more of a risk than a reward.

The promise of innovation through collaboration hasn't been enough to change that perception. Even proven ROI hasn't done the trick. So what's the answer how do we reach financial institutions that are holding out, how do we help them make the transition?

Resources:

• Spotify: https://open.spotify.com/episode/5dN7v4YkpNJbXjVlOh2VNh
• Apple: https://podcasts.apple.com/us/podcast/is-finance-using-open-source-yes-yes-it-is-with/id1623438999?i=1000578832255
• Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5jYXB0aXZhdGUuZm0vdW50b2xkLXN0b3JpZXMtb2Ytb3Blbi1zb3VyY2U
• Amazon: https://music.amazon.com/podcasts/3336522f-0917-4840-b372-06d3d54aa6cf/episodes/80a369bd-fc7a-47eb-922a-4334063751fa/the-untold-stories-of-open-source-is-finance-using-open-source-yes-yes-it-is-with-gabriele-columbro
• RSS Feed: https://feeds.captivate.fm/untold-stories-of-open-source/
• GitHub Project: https://github.com/linuxfoundation/lf-podcast

URL corrupted for episodes for last 3 episodes with this date of the issue

you have links using non-open source podcast players, but you do no thave a rss feed I can link to from my podcast player of choice.

Help

The episode with Soumith Chintala is ready to be added to the gallery page, the repository page, and an individual page for the episode.

Episode description
There’s no need to bury the lead here. Soumith Chintala is the central figure in a major transition in the world of Artificial Intelligence and Machine Learning. He works at Meta where he’s the manager of PyTorch, an open source machine learning framework that was recently transferred to the Linux Foundation. PyTorch enables ML engineers to deploy new AI models in minutes rather than weeks.

Soumith has been a community leader for the past decade, but he was a self-described introvert when he was growing up in Hyderabad. He is a researcher with over 52,000 citations and an h-index of 29 in Machine Learning, computer vision, and robotics, while focusing on high-risk research. From Marvel movies to memes, people such as Soumith are admired in modern culture. But this wasn’t the case in the 1990s when being a geek was still outside the norm.

Resources
All major audio streaming platforms hosting the show

The episode with Arpit Joshipura is ready to be added to the gallery page, the repository page, and an individual page for the episode.

Resources

• RSS Feed: https://feeds.captivate.fm/untold-stories-of-open-source/
• Spotify: https://open.spotify.com/episode/7ws4g9oV0Z6cksVC4OICvT
• Video summary: https://user-images.githubusercontent.com/66965127/185688210-e702a3d0-6f6f-4afb-a647-b4c8ada728f6.mp4
• Headshot:
  

The episode with Allan Friedman is ready to be added to the gallery page, the repository page, and an individual page for the episode.

Resources

RSS Feed: https://feeds.captivate.fm/untold-stories-of-open-source/
Spotify: https://open.spotify.com/episode/02PpSGGsuD9kTbVQStquM9
Headshot:

I heard from someone on Slashdot that when they visited your page they were told that they had to enable DRM to play your podcast, because you chose to store it on Spotify. So I went to the page to see what would happen if I tried to play the content. As it turns out, it simply begins to demand more content from other sites, among them chrt.fm. I went to www.chrt.fm to see what it was and it turns out that it is a parked domain. Your page is trying to load content from a parked domain when people try to play the audio. And then it turns out that the content won't play if you don't enable scripts from sentry.io, what is that? Turns out it's a tracker. So in summary, in order to play this Linux podcast, you have to enable DRM, you have to be tracked by a third party, and you have to risk your browser being compromised by scripts pulled in from a foreign domain that could be purchased by a malicious attacker.

Do you even Linux?