# government data (blogs) — RSS Amplifier

Recent posts from the 2 feeds in the RSS Amplifier directory that cover government data.

Page: <https://rssamplifier.com/topics/government-data/blogs>  
Feed: <https://rssamplifier.com/topics/government-data/blogs.md>

---

## [The Two Pillars of Data-Driven Product Organizations and Why AI Makes Them Non-Negotiable](https://moderndata101.substack.com/p/pillars-of-data-driven-product)

_2026-08-20 · Xavier Gumara Rigol · Modern Data 101_

What 15 years in the data ecosystem taught me about aligning product and data teams, treating data as a product, and preparing for what comes next

## [How to Control AI Agents With the Data Platform You Already Have](https://moderndata101.substack.com/p/how-to-control-ai-agents-with-data-platform)

_2026-08-17 · Darpan Vyas · Modern Data 101_

Impact of the system surrounding models and how agentic performance and success changes based on system optimisation

## [The Human Side of AI: Cultivating Stewardship and a Culture of Trust](https://moderndata101.substack.com/p/the-human-side-of-ai)

_2026-08-14 · Njideka Egbo · Modern Data 101_

The Practical Roadmap for Building AI-Ready Data Foundations

## [What Human Memory Teaches Us About Building AI Memory](https://moderndata101.substack.com/p/memory-blueprint-for-ai)

_2026-08-10 · Animesh Kumar · Modern Data 101_

From Ebbinghaus’s forgetting curve to Murdock’s “lost middle,” the architecture of human memory offers a blueprint for autonomous AI.

## [Knowledge Graph for AI: Mapping Capabilities with Distilled AI Primitives](https://moderndata101.substack.com/p/knowledge-graph-for-ai-mapping-capabilities)

_2026-08-07 · Samadrita Ghosh · Modern Data 101_

Leveraging the power of graphs to play with probabilities

## [The Layering Obsession in Data Architecture](https://moderndata101.substack.com/p/the-layering-obsession-in-data-architecture)

_2026-08-04 · Animesh Kumar · Modern Data 101_

The myth of architectural progress through more layers and the maximalist cult of "one more"

## [The Token Paradox: Why Cheaper Compute Produces Bigger Bills](https://moderndata101.substack.com/p/the-token-paradox-of-cheaper-compute)

_2026-07-30 · Brij Mohan Singh · Modern Data 101_

Optimising the second variable with foundational architectural shifts

## [The Three Laws of AI Governance: The Case for Holding AI Agents Accountable Like Humans](https://moderndata101.substack.com/p/laws-of-ai-governance)

_2026-07-27 · Animesh Kumar · Modern Data 101_

Longest-running, most battle-tested distributed governance systems humanity has for coordinating agents

## [The Context Gap: Why Data Products Anchor AI Success](https://moderndata101.substack.com/p/the-context-gap-why-data-products)

_2026-07-23 · Srinivasa Mathkur · Modern Data 101_

Urgency of bounded context and the architectural quantum of data that enables it.

## [The DBOM for Agent-to-Agent Trust Infrastructure](https://moderndata101.substack.com/p/dbom-agent-to-agent-trust)

_2026-07-20 · Animesh Kumar · Modern Data 101_

Uncovering the potential of Data Bill of Materials with broader readability, end-to-end traceability of trust, and simpler object management

## [Screen Share With Real Control (Sponsored)](https://crawlproof.com/a/dPIuKuY5JHVJ)

_2026-07-20 · **Sponsored**_

Collaborative screen sharing with simultaneous remote control — open source, like Screenhero.

## [Connecting Is Not Aligning: The Governance Gap Your Observability Stack Cannot Close](https://moderndata101.substack.com/p/agentic-ai-capability-stack)

_2026-07-16 · Frédéric Verhelst · Modern Data 101_

Why agentic AI fails on meaning instead of plumbing and what your organisation must own to close the gap.

## [Gallery: animated What We Ask Google graphics](https://simonrogers.net/2026/05/18/gallery-animated-what-we-ask-google-graphics/)

_2026-05-18 · Simon Rogers · Simon Rogers_

Nigel Holmes illustrations animated by Rowland Holmes Nigel’s illustrations for What We Ask Google are so alive and enticing, we wondered what they would look like as animations. So, here’s a selection:

## [Peeking Inside the World&#8217;s Brain: new UK Event Dates](https://simonrogers.net/2026/05/17/peeking-inside-the-worlds-brain-new-uk-event-dates/)

_2026-05-18 · Simon Rogers · Simon Rogers_

I’m heading back to the UK at the end of the month for my new book, What We Ask Google: A Surprisingly Hopeful Picture of Humankind. We’ll be diving into the world’s biggest publicly available dataset to see what it tells us about who we really are. From the delightfully mundane questions we ask every \[…\]

## [Why Grief Feels So Lonely—And Why the Data Proves We Aren’t](https://simonrogers.net/2026/05/08/why-grief-feels-so-lonely-and-why-the-data-proves-we-arent/)

_2026-05-08 · Simon Rogers · Simon Rogers_

It's Mother's Day this weekend in the US and I wrote a piece for Literary Hub exploring what turns out to be one of the most profoundly isolating experiences we go through as humans: grief.

## [New event: Join me live in San Francisco, May 6](https://simonrogers.net/2026/02/24/new-event-join-me-live-in-san-francisco-may-6/)

_2026-02-24 · Simon Rogers · Simon Rogers_

Bay Area friends! 🌉 I’m thrilled to be at Book Passage in San Francisco on May 6th to discuss my new book, WHAT WE ASK GOOGLE, with the incredible Clara Jeffery. We’ll be diving into what our search history reveals about us—the profound, the mundane, and everything in between. 📍 Save the date! Hope to \[…\]

## [Data + Birds = Beauty](https://simonrogers.net/2026/02/12/data-birds-beauty/)

_2026-02-12 · Simon Rogers · Simon Rogers_

Birdwatching is getting really popular: 96 million people in the US are birders and that produces a lot of Search data. And that means there is a lot of potential for beautiful data visuals (a great example is Jer Thorp’s work in the field). So, when Nadieh Bremer told Alberto and I that her next \[…\]

## [New podcast alert: Data journalism in the face of ICE and subzero temperatures in MN](https://simonrogers.net/2026/01/29/new-podcast-alert-data-journalism-in-the-face-of-ice-and-subzero-temperatures-in-mn/)

_2026-01-29 · Simon Rogers · Simon Rogers_

MaryJo Webster⁠ is data editor at the Minnesota Star Tribune. She joins Alberto, Scott and Simon to talk about her team’s ongoing coverage of federal immigration troops deployed in Minnesota. They discuss analyzing data in a breaking news environment, and what reporters in other places can learn from the Star Tribune’s approach. ⁠Subscribe to the \[…\]

## [New pages from &#8216;What We Ask Google&#8217;](https://simonrogers.net/2026/01/07/new-pages-from-what-we-ask-google/)

_2026-01-07 · Simon Rogers · Simon Rogers_

See sample pages from the upcoming book What We Ask Google, with illustrations by Nigel Holmes

## [New podcast episode: Data storytelling in 2026](https://simonrogers.net/2026/01/05/new-podcast-episode-data-storytelling-in-2026/)

_2026-01-05 · Simon Rogers · Simon Rogers_

As a new year begins, we reflect on the state of data journalism. We discuss our dataviz favorites from 2025 and what Alberto, Scott and I are working on in 2026. What will happen in data visualisation and journalism this year?

## [Breaking New Ground with the Straits Times](https://simonrogers.net/2025/11/14/breaking-new-ground-with-the-straits-times/)

_2025-11-15 · Simon Rogers · Simon Rogers_

⁠How hawker signboards tell the story of Singapore⁠ NEW POD EPISODE: The Straits Times is Singapore’s most widely read print newspaper, and its online presence is full of innovative data visualization projects. Our guests this week — Charlene Chua, Hannah Ong, and Stephanie Adeline — are three of the young journalists making it happen. They \[…\]

## [One Cloud, Every AI Layer (Sponsored)](https://crawlproof.com/a/YK3xAZW2pBOj)

_2025-11-15 · **Sponsored**_

Run agents, inference, and infrastructure on one stack — economics improve as you scale.

## [New podcast episode: Charts as Political Theater](https://simonrogers.net/2025/10/14/new-podcast-episode-charts-as-political-theater/)

_2025-10-14 · Simon Rogers · Simon Rogers_

This was a fun podcast episode to record – although my power outage resulted in the action shot above! Not since Ross Perot’s famous TV presentations using cardboard charts have we had a national figure who uses data visualization props quite like Donald Trump. This week, Philip Bump joins Scott and Simon to talk about \[…\]

