Building, Testing, and Abandoning Software - ML 163

Building, Testing, and Abandoning Software - ML 163

In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with real-world examples from Databricks.
They discuss the creation and eventual abandonment of a benchmarking tool for warehouses and discuss the importance of evaluating user demand, effort, and impact before committing to development. They emphasize the role of empathy, constructive feedback, and team collaboration in driving successful projects. They share strategies to influence behavior within organizations, the significance of a blame-free culture, and the art of leading difficult conversations with stakeholders.
From detailed discussions on customer feedback loops to practical advice on automating mundane tasks, this episode is packed with insights that will help you navigate the complex landscape of software development. So sit back, relax, and join us for a thoughtful and engaging conversation on how to turn challenges into opportunities for growth and innovation.


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The Nature of the World and AI with Rishal Hurbans - ML 177

The Nature of the World and AI with Rishal Hurbans - ML 177

Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types o...

9 Dec 202440min

Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176

Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176

In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. ...

28 Nov 202455min

Challenges and Solutions in Managing Code Security for ML Developers - ML 175

Challenges and Solutions in Managing Code Security for ML Developers - ML 175

Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in no...

21 Nov 202451min

Innovative Security Solutions for Developers - ML 174

Innovative Security Solutions for Developers - ML 174

They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with  Brian Vallelunga, the visionary CEO of Doppler. Brian shares his ...

14 Nov 202458min

Peer Review and Career Development - ML 173

Peer Review and Career Development - ML 173

In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a ma...

7 Nov 20241h 8min

Navigating Expertise Gaps - ML 172

Navigating Expertise Gaps - ML 172

In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, consider...

31 Okt 20241h 16min

The Influence of Gen AI on Personalized Education and Curiosity - ML 171

The Influence of Gen AI on Personalized Education and Curiosity - ML 171

In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer.Michael, a data engineering and machine learning expert, and Be...

24 Okt 20241h 8min

The Role of Open Source in Modern Development Practices - ML 170

The Role of Open Source in Modern Development Practices - ML 170

Today, they dive deep into the fascinating intersection of open-source development and machine learning.  Michael and Ben are joined by distinguished guest, Görkem Erkan, CTO and seasoned engineer at ...

17 Okt 20241h 2min

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