In an attempt to avoid relying on polling in a front-end application or third-party services, we attempt servicing asynchronous notifications over websockets using only PostgreSQL and Scala.
In an attempt to avoid relying on polling in a front-end application or third-party services, we attempt servicing asynchronous notifications over websockets using only PostgreSQL and Scala.
A major part of how Azavea pursues its mission is tied to how we select our projects. As our work on Earth observation imagery has grown, we felt it was time to develop a guideline around a new industry: energy.
I’m going to come right out and say it: prototyping is the most powerful tool in your UI/UX tool belt. Let me clarify. I still think of prototyping as one of the many ways to extract valuable information and iterate on a design–like user research or card sorting–but I now put prototyping at the top…
Conferences are great for a variety of reasons–getting exposed to cool up-and-coming technologies, connecting with old friends, and doing recruiting and business development. For the last few years, I’ve been a co-organizer for Philly Emerging Technologies for the Enterprise (ETE)–a fantastic developer-focused conference that has run in Philadelphia for fourteen years. While ETE was planned…
Could AI have saved Gabriel Fernandez’s life? Data and social scientists argue that machine learning might have kept him alive. What exactly is this potentially life-saving AI? Learn more about predictive risk modeling, how governments currently use similar AI, and the ethical questions such work raises.
This blog post discusses how to quickly visualize data, like that of COVID-19. We are not medical experts and the visualizations have not been peer reviewed. We recommend visiting data sources, like the CDC, for data on COVID-19. Data visualizations have been crucial to communicating the severity of the COVID-19 pandemic. Problems like this benefit…
Definitions and visuals of the most common ways to label satellite imagery for machine learning. Includes tips for managing annotations for each type.
Cities may not know it, but by nature of collecting and maintaining various datasets, they are sitting on a treasure trove of machine learning-ready training data.
3 of our machine learning engineers answer your questions about the future of machine learning.
We created a map that shows the difference between two building footprint datasets of Cambodia: OSM and Orbital Insights’ AI generated dataset.