The Powered by Data Show

The Powered by Data Show, Episode 003In this episode of The Powered by Data Show, Ben Jones sits down with Rachel Herrera of Hex to explore how AI is changing the day-to-day work of data analysts, and why that shift may be better news than many people think. Instead of spending all their time writing repetitive SQL, cleaning messy data, and rebuilding the same dashboards, analysts now have an opportunity to become curators of context, stewards of trust, and stronger storytellers for the business. Ben and Rachel discuss Hex’s vision for AI-first analytics, including Context Studio, Hex's new feature that empowers data teams to manage and continuously improve agent performance over time. They also dig into what analysts should be learning right now to stay relevant: business understanding, discovery skills, judgment, and the ability to communicate clearly with humans. If you’ve been worried about what the future of the data analyst's role, this conversation might just give you some hope!

The Powered by Data Show, Episode 002
Ellie Fields helped shape the self-service analytics era at Tableau. Now, as CEO & co-founder of Ridge AI, she’s helping build what comes next. In this episode, Ben Jones and Ellie dig into the big question of whether dashboards are dead, where conversational AI breaks down, and how dashboards plus data agents may work together to create a better analytics experience.

In this episode of The Powered by Data Show, Ben Jones and Alli Torban introduce the podcast’s new name and vision, exploring why the conversation around data has shifted from understanding to action. They discuss what’s holding BI back from its full potential, how AI is changing the way people interact with data, and what listeners can expect from the show going forward, including real-world stories from leaders navigating the intersection of humans, data, and AI.
Show notes: https://dataliteracy.com/pbd001/

In this episode of The Data Literacy Show, Ben Jones (CEO of Data Literacy) and Alli Torban (Senior Data Literacy Advocate) tackle a question they’re hearing everywhere:
“Is our data ready for AI — and what does ‘ready’ really mean?”
We introduce DF4AI (Data Foundations for AI), which is a practical 10-minute self-assessment that helps organizations understand their AI readiness without chasing perfection.
You’ll learn…
Why you don’t need perfect data to start getting AI value

The five key dimensions of readiness

How weak foundations quietly derail AI initiatives

If your team is experimenting with AI (or feeling pressure to), this episode will help you move forward with clarity and avoid costly missteps.
Take the free DF4AI self-assessment: https://df4ai.com/
See full show notes here: https://dataliteracy.com/season-02-episode-02/

In this episode of The Data Literacy Show, Ben Jones and Alli Torban share 12 predictions for data literacy in 2026, based on key lessons from the past year. They explore what leaders should watch for as data and AI become more embedded in everyday work — from the growing importance of measurement and human skills to the evolving role of AI, storytelling, and organizational change.

Show notes: https://dataliteracy.com/season-02-episode-01/