All blog posts
<- View categories
-
Introducing the new Agentic Queryable Earth: Conversational, Composable, and Traceable
We discuss the evolution of Queryable Earth into Agentic Queryable Earth, including a more conversational experience.
-
Introducing the new Agentic Queryable Earth: Conversational, Composable, and Traceable
We discuss the evolution of Queryable Earth into Agentic Queryable Earth, including a more conversational experience.
-
Is Zarr the New COG? Round 2!
We revisit the question: is Zarr the new COG? We review changes from the past year and discuss the shrinking gap between the two data formats.
-
Getting Acquainted with Element 84: A Guide to our Intro Client Calls
In this blog we give a sneak preview into the typical conversation structure we have with new-to-us organizations through frequently asked questions that we regularly answer during introductory calls.
-
Federal Director Profile: A Conversation with Mark Reese
In late 2023, our team at Element 84 implemented an internal “business unit” structure within our project teams to loosely group client work based on industry and focus area. From the inception of this organizational change, Mark Reese took on the “Federal” business unit and continues to manage our portfolio with US federal agency clients.…
-
De-Risking AI: A Roadmap for AI Integration in Finance and Other Highly Regulated Industries
For businesses operating in highly regulated industries, zero risk tolerance policies often lead to delays in AI adoption. Although there are certainly risks that accompany irresponsible AI use, with intentional implementation AI has the potential to boost productivity, reduce risk, and increase profits. Furthermore, failing to implement AI is a risk of its own in…
-
ChatGSFC: Building Composable AI Tools for NASA on Open Source Tooling
Sharing our findings from the past year helping NASA build and scale a chat-based AI tool called ChatGSFC.
-
Building Conversational Interfaces for Querying and Analyzing Geospatial Data
NOAA maintains thousands of datasets of various kinds (remote sensing, in-situ, derived etc.) across multiple domains (climate, weather, ecology, etc.) consumed by a wide variety of users (scientists, engineers, urban planners, etc.), but discovering, accessing, and using these datasets remains a significant challenge. Recent developments in cloud-native geospatial technologies and standards have made geospatial data…
-
Building and Validating LLM-Generated Captions and Embeddings for Geospatial Imagery in Queryable Earth
At Element 84, we’ve been exploring how LLMs can improve geospatial imagery search. We recently published a blog post detailing our latest updates to our Queryable Earth demo which lets users search for visible features on the Earth using natural language. Until recently, it relied entirely on SkyCLIP, an open-source vision-language model, to generate the…
-
(Re)Making Cirrus: Three lessons learned
In part two of this blog series reflecting on our work with Cirrus, we discuss three core lessons that we uncovered.
-
If AI Is Going to Task Satellites, We Need Standards
It’s been about a month since North51 in Banff. For those who haven’t been, it’s a unique event on the geospatial calendar. It’s a small, single-track conference that fosters great group discussions rather than broadcasting lectures. There are no sales pitches here, just geospatial people staring at the same mountain range, trying to figure out…
