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Spatial Stack with Matt Forrest

Matt Forrest
Gis
Geospatial Technology
Geospatial Data
Artificial Intelligence
Earth Observation
Python
Machine Learning
Zip Code
Spatial SQL
Geoparquet
Placekey
Cloud Native Geospatial
Edge Computing
Geoai
Satellite Technology
Geopandas
Data Processing
Aerospace
Public Health
Housing Market

Welcome to The Spatial Stack, where modern geospatial technology takes center stage. Our episodes feature interviews with leading experts, insightful discussions on the integration of AI and big data in spatial tech, and case studies on groundbreaking projects worldwide. Tune in to stay ahead in the rapidly evolving world of geospatial technology!

PublishesWeeklyEpisodes51Founded2 years ago
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Artwork for Spatial Stack

Latest Episodes

What does it actually take for an AI to navigate you through the real world, without a screen and without a camera running the whole time?

In this episode of the Spatial Stack, Matt Forrest sits down with Sean Gorman and Pramukta Rao, the co-founder... more

In this episode of the Spatial Stack, Matt sits down solo to work through a fight that broke out across Reddit and LinkedIn last week: is GIS dying, or is it just changing its name?

It started with a GIS manager who argued the field is alive, pointi... more

What does it actually take to make AI useful on location data?

In this episode, Matt Forrest sits down with Ryan Urabe, co-founder and CTO of Dataplor, to unpack how AI, embeddings, and agents are changing the way we work with points of interest and... more

YouTube

What does it actually take to map every agricultural field on Earth?

In this episode, Matt sits down with Jen Marcus, Vice President of Strategic Innovation Programs at Taylor Geospatial, and Isaac Corley, Director of AI/ML Research at Taylor Geospa... more

YouTube

Key Facts

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Find out how many people listen to this podcast per episode and each month.

Recent Guests

Ryan Urabe
Co-founder and CTO of Dataplor
Dataplor
Episode: AI, Embeddings, and the Future of Location Data with Dataplor's Ryan Urabe
Jen Marcus
Vice President for Strategic Innovation Programs
Taylor Geospatial
Episode: Mapping Every Field on Earth: Global Field Boundaries, Open Data, and GeoAI with Taylor Geospatial
Troy Schmidt
GIS developer specializing in climate risk and open-source risk modeling
Episode: Rebuilding Climate Risk: SPHERE, DuckDB, and the Modern GIS Stack with Troy Schmidt
Maggie Ma
Tech content creator at Maggie Data, former geospatial data scientist
Maggie Data
Episode: From Geospatial Data Scientist to Full-Time Creator with Maggie Ma
Yael Maguire
General Manager and VP of Google Maps Platform and Google Earth
Google
Episode: Chatting with the Physical World: Google's Yael Maguire on AI, Maps, and 280 Billion Images
Emily Lisle
Representative from Dataplor
Dataplor
Episode: Beyond the CSV: Visualizing POI Data for Global Expansion Strategy with Emily Lisle from Dataplor
Pierrick Poulenas
CEO and co-founder of Picterra
Picterra
Episode: The Next GPS? Why GeoAI is the New Invisible Infrastructure with Pierrick Poulenas (Picterra)
Phil Derringer
Product management at Wherobots
Wherobots
Episode: #40: The "GPT Moment" for Earth: Moving from Computer Vision to Large Earth Models
Len Sternad
Machine learning engineer at Wherobots
Wherobots
Episode: #40: The "GPT Moment" for Earth: Moving from Computer Vision to Large Earth Models

Host

Matt Forrest
Host of Spatial Stack, focused on modern geospatial technology, AI integration, and industry case studies.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#208
Canada/Business/Careers
Apple Podcasts
#22
New Zealand/Business/Careers
Apple Podcasts
#111
Sweden/Business/Careers
Apple Podcasts
#196
New Zealand/Business
Apple Podcasts
#220
India/Business/Careers

Talking Points

Recent interactions between the hosts and their guests.

AI, Embeddings, and the Future of Location Data with Dataplor's Ryan Urabe
Q: Where do embeddings fit into your strategy and what downstream value do they unlock?
Embeddings convert location-based and text-based data into a common, high-dimensional space, enabling nuanced understanding of semantic and conceptual relationships across brands, categories, and places. This unlocks improved deduplication, standardized categorizations, and richer, more actionable insights that can be visualized on maps and dashboards, ultimately speeding up decision-making for clients.
AI, Embeddings, and the Future of Location Data with Dataplor's Ryan Urabe
Q: What does the vision for agentic AI look like in practice for geospatial data?
Agentic AI acts like a seasoned coworker who can digest meeting transcripts, create tickets and projects, and surface geospatial insights through maps and charts. Training involves giving it a data library, a knowledge base, code standards, and defined workflows so it can operate within the company's processes and deliver tangible, localized insights with minimal manual steps.
AI, Embeddings, and the Future of Location Data with Dataplor's Ryan Urabe
Q: How are you approaching bringing your data into AI, and what is the entry point for integrating AI with your geospatial data?
We focus on a two-pronged approach: first, ensure a gold-standard data file with clean, well-documented schemas that AI can rely on; second, build domain-specific interfaces and workflows that lean into geospatial concepts so the AI returns results in a map- and category-driven way, not just generic text. This keeps the AI's outputs grounded in geospatial realities and makes it easier for users to act on the insights.
Rebuilding Climate Risk: SPHERE, DuckDB, and the Modern GIS Stack with Troy Schmidt
Q: Can you tell us a little bit more about Hazus and where it fits in the workflow?
Hazus is FEMA's gold-standard flood analysis framework, consisting of a methodology and a software implementation. The methodology defines how to run analyses and how depth-damage functions and building attributes drive the results, while the software is the tool that executes those rules. The conversation emphasizes the difference between methodology and the software, and the need to access site-specific data and the depth grids to run accurate analyses.
From Geospatial Data Scientist to Full-Time Creator with Maggie Ma
Q: How does Maggie view the role of AI in content creation today?
AI is a significant productivity aid in editing, analytics, and ideation, but she emphasizes staying in the driver's seat to ensure authentic, expert-driven content rather than letting AI voice dominate.

Audience Metrics

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Frequently Asked Questions About Spatial Stack

What is Spatial Stack about and what kind of topics does it cover?

This show centers on geospatial technology, AI, and data-driven decision making, with a steady cadence of expert interviews and practical discussions. Episodes frequently explore how AI is grounding spatial insights, the shift from traditional desktop GIS to cloud-native, scalable stacks, and real-world applications—from mapping and mobility to supply chains and urban planning. Listeners can expect thoughtful dives into data quality, global data coverage, and the evolving ecosystem of tools, formats, and architectures that enable location intelligence at scale. A few episodes stand out for proposing actionable career guidance, democratizing access to geospatial insights, and framing complex tech topics in business terms for practitioners, b... more

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Spatial Stack launched 2 years ago and published 51 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Spatial Stack?

Recent guests on Spatial Stack include:

1. Ryan Urabe
2. Jen Marcus
3. Troy Schmidt
4. Maggie Ma
5. Yael Maguire
6. Emily Lisle
7. Pierrick Poulenas
8. Phil Derringer

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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