Sramana Mitra: Of the millions of people who are pursuing a machine learning career as a citizen data scientist track, data scientist track, or a developer track, in what time frame will that impact industry? Gideon Mendels: It’s a gradual change. It’s already impacting the industry. When I studied computer science, there weren’t any machine
Sramana Mitra: There seems to be a very large number of developers who are learning Python and are either practicing or aspiring machine learning engineers. The number is in the millions. What are these people doing? Gideon Mendels: As in how are they learning? Sramana Mitra: What is the application? What is the career path?
Gideon Mendels: If you think about the managers, they’re mostly looking for this visibility. If I use the software engineering analogy, as engineering managers we are able to look at everyone’s pull request, commit history. We have full visibility on who’s working at what. A lot of these managers rely on self-reported progress. With Comet,
Sramana Mitra: Do you go to market as a platform company? Gideon Mendels: I guess it depends on your definition. The Community Edition plays a big role as individual contributors get excited about it and recognize the value it can bring to them and their team. Sramana Mitra: I noticed that you are calling it
We’ve covered ML Ops before in interviews such as Arize. Gideon provides a comprehensive overview of how the space is evolving and the opportunities on the horizon. Sramana Mitra: Let’s start by introducing our audience to you as well as to Comet.