Getting geospatial data into ML models is hard. One reason for this is that there are few “canonical” sources for geospatial data at scale. Open Street Map (OSM) is understood as one such source for rideshare, but its potential in real estate use cases is widely unexplored. In this post we discuss some of the quality control/QC work we do to improve off-the-shelf OSM data and measure the impact of that work via a real estate pricing model benchmarking test.
I started with a design degree from SF State, doing graphic and web design for a small agency. I did a bit of print work as well as creating different kinds of collateral marketing and conferences.Â
Virtually all companies are in the same boat:Â it's way too hard to innovate their products when it comes to location data. The few who can leverage geospatial data can innovate in truly game-changing ways.
This is a part of a series of posts introducing team Iggy. Meet Alex Malokin, Data Scientist and transportation expert!
This is a part of a series of posts introducing team Iggy. Meet Annie Iezzi, Chief of Staff!
Iggy's vision is to make data about the world accessible so that our customers can build great products, models and analyses. But the world is constantly changing and there is no one single best source of all geographic information, so how do we do this? We consider checking and improving data quality a core part of our work.
Augmenting your data with understanding around a place leads to better analysis, models and products. But really understanding place at a granular level is tough. Iggy makes it simple so all you have to do is plug it into your data analysis, model, etc.
Tune in to hear from Anne about:Â Motivations for iggy, based on our CEO Lindsay's experience as a data scientist at Airbnb, How we build our core/canonical datasets,Lessons learned from ingesting massive datasets with complex geometries (I.e. FEMAÂ flood data),How iggy can help w health outcomes, Navigating the pre-PMFÂ journey, Why Anne thinks machine learning on geospatial data is particularly cool.
Iggy Open Data, a site that hosts various datasets our team’s found useful along with detailed documentation about the attributes, coverage, licensing, and source.
This is the first in a series of posts introducing team Iggy. Meet Anirudh Shah!
Our mission at Iggy is to make information about the world accessible. We’ve taken our first steps toward this over the last few months. Starting today you can query more than 175 geographic datasets using the Iggy API.
My version of better is founded on usability as a first principle. This means building a company from the ground up that is devoted to making geospatial data actually usable to the folks who are building the products and experiences that are shaping our lives: developers.
Iggy makes data about the world more accessible
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