Thought Leaders in Artificial Intelligence: Comet ML CEO Gideon Mendels (Part 4)

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?

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Thought Leaders in Artificial Intelligence: Comet ML CEO Gideon Mendels (Part 3)

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,

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Thought Leaders in Artificial Intelligence: Comet ML CEO Gideon Mendels (Part 2)

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

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Thought Leaders in Artificial Intelligence: Comet ML CEO Gideon Mendels (Part 1)

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.

Thought Leaders in Artificial Intelligence: Iterate CTO Brian Sathianathan (Part 3)

Sramana Mitra: This is a very wide range of use cases. It sounds like you are going to market as a platform company. Brian Sathianathan: Correct, but we work with the appropriate service providers. We also build accelerators on top. If you look at a lot of the low-code platforms, they are purely platforms. It’s

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Thought Leaders in Artificial Intelligence: Iterate CTO Brian Sathianathan (Part 2)

Sramana Mitra: These use cases that you discussed, are all these use cases that you found yourself and are selling directly? Brian Sathianathan: Absolutely. Sramana Mitra: Let’s double-click down on the first use case – gas station loyalty program. Who built the solution?

Thought Leaders in Artificial Intelligence: Iterate CTO Brian Sathianathan (Part 1)

In this interview, we explore the priorities of enterprise decision makers through the lens of an AI platform vendor. Sramana Mitra: Let’s start by introducing the audience to yourself as well as to Iterate.

Thought Leaders in Artificial Intelligence: Workiz CEO Didi Azaria (Part 3)

Sramana Mitra: How do you acquire your locksmith customers? Didi Azaria: Word of mouth is big. We believe that once somebody is successful, they’re going to brag about it. This is actually the case. We believe that if we provide great service and show them 20% to 50% growth on the same effort, they become

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