Modern networked applications generate a lot of data, and every business wants to make the most of that data. Most of the time, that means moving production data through some transformation process to get it ready for the analytics process. But what if you could have in-app analytics? What if you could generate insights directly from production data?
On thi ... Show More
Today
Building a global engineering team (plus AI agents) with Netlify
In this episode of Leaders of Code, Stack Overflow’s Chief of Product and Technology, Jody Bailey, sits down with Dana Lawson, CTO at Netlify. Dana shares her insights on leading a lean, globally distributed engineering team that powers 5% of the internet. The conversation touche ... Show More
29s
Mar 13
Open source for awkward robots
Ryan is joined by Jan Liphardt, CEO and co-founder of OpenMind, to chat about the rapidly evolving world of humanoid robotics and what it means for humans, why OpenMind is building an open source operating system for robots that processes logic in natural language, and how puttin ... Show More
30m 38s
Aug 2022
An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ... Show More
1h 6m
Jun 2021
Accelerating ML Training And Delivery With In-Database Machine Learning
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ... Show More
1h 5m