Machine Learning Part 2 With Peter Varhol: The Testing Show

As has become abundantly clear to me over the last several weeks, I could be a lot more prolific with my blog posts if I were just a little bit better and more consistent with self-promotion. Truth be told, a lot of time goes into editing The Testing Show. I volunteered a long time ago to do the heavy lifting for the show editing because of my background in audio editing and audio production from a couple decades back. Hey, why let those chops go to waste ;)? Well, it means I don’t publish as often since, by the time I’ve finished editing a podcast, I have precious little time or energy to blog. That is unless I blog about the podcast itself… hey, why not?


So this most recent episode of The Testing Show is “Machine Learning, Part 2” and features Peter Varhol. Peter has had an extensive career and has also done a prodigious amount of writing. In addition, he has a strong mathematical background which makes him an ideal person to talk about the proliferation of AI and Machine Learning. Peter has a broad and generous take on the current challenges and opportunities that both AI and Machine Learning provide. He gives an upbeat but realistic view of what the technologies can and cannot do, as well as ways in which the tester can both leverage and thrive in this environment.

Anyway, I’d love for you to listen to the show, so please either go to the Qualitest Group podcast page or subscribe via Apple Podcasts. While you’re at it, we’d love it if you could leave us a review, as reviews help bubble our group higher in the search listings and help people find the show. Regardless, I’d love to know what you think and comments via this page are also fine.