Fused is excited to be featured in a TED Talk today by Peter Wilczynski, CPO at Maxar, which explored a multi-source site monitoring scenario of Vancouver's greening initiatives over the past five years powered by the Fused platform.
Fused AI Builder let's you create LLM Agents that can directly call & execute deployed Python code through Fused UDFs!
We're launching Fused AI Builder, a simple way for you to give an LLM access to any UDF you want
Fused 2.0 is our biggest update to date, with changes across Workbench & fused-py!
TL;DR Enriching your spatial data with GERS IDs can make it interoperable across the data ecosystem. You can use Fused UDFs to create custom HTTP endpoints to enrich your data with GERS.
The Global Entity Reference System (GERS) is a framework that structures, encodes, and matches map data to a shared universal reference within Overture. GERS helps organizations identify and reference their own datasets with standard identifiers to Overture data to help unify datasets.
In this blog post we show how to create simple endpoints with Fused UDFs to enrich a dataset with GERS IDs. We'll use the Overture Building footprints to first enrich a polygon with GERS IDs then another one to look-up metadata for a specified GERS ID.
TL;DR: We've made it easier to work with Overture data by leveraging Fused.
Fused has been working with the team at The Overture Maps Foundation to enable direct access to their data through Fused UDFs. We are excited to share that the Overture docs now show examples on how to see how to integrate any Overture data into your workflows using Fused.
Overture Maps aims to provide foundational building blocks of data across various themes designed to be broadly applicable across industries. Our goal at Fused is to make it easy to work with Overture data and adopt standards (such as GERS). To this end, we are creating easy abstractions to access data, tools to perform foundational operations such as conflation and enrichment, and example workflows to inspire and help you understand how to leverage this data.
One of the key usecases for Overture + Fused is enriching datasets with Overture Maps data. This tutorial showcases 2 simple Python workflows that do this by performing a spatial join with Overture Buildings. This example of a simple enrichment operation will help you understand how to work with Overture data in your own workflows.
TL;DR Pilot Fiber creates apps with Fused to quickly identify and resolve service interruptions for its New York City customers.
Pilot Fiber is a commercial Internet Service Provider primarily in New York City. Our primary value proposition in competing with national-scale ISPs is our commitment to customer experience–we are fast and flexible in responding to customer needs in all aspects of the business:
We use Fused to support all of these areas, and this post focuses on the last one: incident management.
TL;DR BlackPrint streamlines and transforms fragmented real estate data into actionable insights across Latin America.
BlackPrint Technologies began its journey as a satellite mapping service designed to help municipalities modernize their property registries. Recognizing a greater opportunity, we transitioned into the private sector to address a significant gap in the commercial real estate market: the need for accessible, actionable data. Today, our platform empowers professionals with precise acquisition intelligence, transforming how decisions are made across Mexico and, soon, all of Latin America.
In this blog post, we will explore how BlackPrint built the backend of its intelligence platform with Fused to provide a comprehensive view of the commercial real estate market in Mexico.
TL;DR Elizabeth Rosenbloom creates hotspot maps to identify key areas where Arundo donax is likely to spread, streamlining analysis to improve invasive species mitigation.
In 2020 while working in Silicon Valley for the county of Santa Clara Valley, I became obsessed with improving monitoring and prevention efforts surrounding Arundo donax. The search and mitigation process this invasive plant species, Arundo donax, was a Sisophisian struggle that had been subject to the same procedures year in and year out, with no progress on beating the spread. To improve the efficacy and efficiency in battling against this notorious weed, I decided to build a tool that would identify the key areas for mitigation - both for the frequency of propagation (occurrence) and for spread potential.
In this blog post I show how I used Fused to create a map of key hotspots where Arundo donax is likely to spread based on built-environment factors derived from Overture Maps data.
TL;DR Chris Amico shows how to combine Overture Maps data with fire perimeters to analyze wildfire impact on buildings and businesses.
As communities continue to rebuild and recover from the devastation caused by natural disasters such as wildfires, the question remains: How can we quantify what was lost, especially in the built environment? With the ability to analyze detailed building footprints and overlay fire boundaries, we can begin to answer this by providing a rough estimate of the damage and identifying which structures were impacted by the flames.
In this blog post, Chris Amico shows how by leveraging data such as Overture Building footprints and fire progression maps, we can gain insight into the extent of fire risk. This enables news agencies to derive insights such as count of shops or homes exposed or even assess the capacity of highway routes for residents to evacuate before a prospect fire reaches them.
TL;DR Maribel Hernandez shows how to create clusters of business categories using Overture Places data.
Maribel Hernandez is a computer scientist and researcher at CINVESTAV, a multidisciplinary academic institution in Mexico. She specializes in graph theory in the field of computational genomics and complex networks. In this blog post, Maribel shows how she characterizes cities based on the distribution of businesses by rolling-up business categories by H3.
As someone who works with urban networks, Maribel's focus is on exploring how cities function and how their design impacts inclusivity. The core question driving this analysis is: Does the city have an even distribution of business services? Or are there shortages such as food deserts or unequal access to health facilities?