In this episode, we go deep into the tram manufacturing business with Robert Grepl more specifically, what does it take to be able to create a tram that does not crash into any infrastructure in an existing city? Have you ever wondered why there's only a couple of centimeters between the tram and the infrastructure? How do tram manufacturers and cities, figure out which obstacles to avoid, and what infrastructure needs to be built or avoided when a tram has put you into a city

Robert explains from the beginning where trams manufacturers in cities make decisions what the common tools they use and how his company, which created a simulation engine called TRAMotion helps solve this problem.

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In this episode of inspiring computing, Max shares, how he created Callr.ai an AI caller agent called Julia, and how Julia can be integrated into phone agents, transforming people's businesses, around a practical use case of AI. Not only does Julia schedule appointments and potentially replace that first line of phone calls but could be also integrated into CRMs and completely transform the way that cells and or internal requests services, HR processes are done.

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In this episode, I have a wonderful conversation with Ralf Gommers, a director of Quansight Labs, and he's a key contributor to NumPy. He shares his journey of how he started working on and contributing to several open source projects. But more importantly, the journey that he took inside NumPy.

NumPy is a project that most scientific computing projects rely on heavily. Ralf shares the thought behind its governance model, the importance of having community funding models, and how to maintain long term open-source projects.

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