43. What's technical debt and why should non-techies care? Apr 21, 2021

If code gets written, that usually means that there's technical debt. If it isn't dealt with regularly, the product doesn't work properly, engineers leave and you'll have a rebellion on your hands.

In this episode, you'll learn from Alexandre Omeyer, founder of Stepsize, the core concepts that non-...

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40. How to use No Code apps to build your first product Mar 31, 2021

No code tools are a great way to build your first product, get it into users' hands and see if there is a business case. Once you've done that, you know what to invest in and why.

But, they are not a long term solution for many products. Listen to this episode what the no code movement is, how you ...

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37. APIs: why Uber uses Google Map‪s‬ Mar 10, 2021

You can login to Bumble with Facebook and Uber uses Google maps. This happens because Uber's servers are connected to Google via a special widget called the API.

In this podcast episode, Sophia Matveeva teaches what APIs are and how companies can use them to grow users and revenue. This is a great ...

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33. What Is A Product? Feb 10, 2021

When was the last time you said to yourself "today, I really want to use a glass?" Probably, never.

Yet, you've used a glass many times to solve the problem of bringing a liquid to your mouth.

In the context of technology, it’s so easy to think of a product as an app, or a site or an algorithm. But, t...

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32. What Developers Do: Front End vs Back End Feb 03, 2021

In this episode Sophia covers two tech terms you'll hear if you build apps and sites: the back end and the front end. Most apps and sites need to have both to function.

Listen to this episode for a simple non-techie explanation of the back end and front end, what they do and who should build them. ...

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7. Intro to Algorithms and Big Data Dec 09, 2020

In this episode tech entrepreneur and Chicago Booth MBA Sophia Matveeva covers what algorithms are, how they are made and when rubbish data creates rubbish algorithms. Hear how Amazon’s recruiting algorithm experiment went horribly wrong.

Don't let the term algorithm scare you. It's just another wo...

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