Erinn

Mike Bostock

Canvases first look webinar

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We favor a human-in-the-loop approach where AI assists users, and is supervised by users, rather than automating decision-making.

Building interpretable AI for data analysis blog featured image

Allison Horst headshot

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Trevor Eddy headshot

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Erinn Wong

Allison Horst

Trevor Eddy

Discover how Observable nurtures a people‑first company culture to accelerate AI adoption and build friction‑free AI workflows, including AI stipends and real‑world integrations.

How we’re integrating AI into our company culture

Get a preview of the next generation of Observable Notebooks.

Previewing Observable Notebooks 2.0

Data teams are rapidly adopting AI tools to boost data analysis workflows from initial exploration to dashboard development. Learn three ways that AI can improve exploratory data analysis with examples of each in an Observable Canvas.

Three ways to use AI for exploratory data analysis

There was so much hype around the promise of self-serve analytics: data-driven insights, efficiency gains and competitive advantage. In this post, we outline why self-service analytics has failed, and if its promise can ever be realized.

Why has the promise of self-serve analytics failed?

Observable Canvases make data analysis visual, and that’s exactly what’s needed to see through AI’s lies and harness it safely.

Playing safely with fire 🤖📊🔥

The Observable team and community have created thousands of openly shared data visualizations in Observable Plot and D3. To easily reuse them, your data needs to be in the expected shape. Learn about the data shapes that many Plot and D3 charts consume, and how to transform your data so you can drop it into existing examples.

Reshaping data for visualizations with D3 and Observable Plot

In Observable Canvases, charts representing millions of records are generated almost instantaneously. Learn how we keep data visualizations fast by limiting data returned by SQL queries and giving charts just the information they need.

Big data, fast data visualizations

It’s 2025. Nobody is fighting the idea that data can help companies make better decisions. But recognizing that data culture is good for business, and putting it into practice, are very different things. Learn how data analysts can contribute to a stronger data culture within their organization. 

How data analysts can improve data culture across their organization

Given how common histograms are in BI tools, you might think they’re easy to design. Think again. We share challenges we encountered, and how we handled them, while designing better out-of-the-box histograms in Observable Canvases.

Designing better out-of-the-box histograms

Visual data analysis helps data teams keep a close eye on their data throughout the entire analysis process. Learn how that expands opportunities for discovery, facilitates collaboration, and helps uncover mistakes sooner than later.

Observable blog

How we’re integrating AI into our company culture

How we’re integrating AI into our company culture

Previewing Observable Notebooks 2.0

Three ways to use AI for exploratory data analysis

Why has the promise of self-serve analytics failed?

Playing safely with fire 🤖📊🔥

Reshaping data for visualizations with D3 and Observable Plot

Big data, fast data visualizations

How data analysts can improve data culture across their organization

Designing better out-of-the-box histograms

End-to-end visual data analysis improves discovery, accuracy, and collaboration