The Powered by Data Show

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/

In this episode of The Data Literacy Show, Ben Jones (CEO of Data Literacy) and Alli Torban (Senior Data Literacy Advocate) talk with Neil Richards, an award-winning data visualization expert and former Global Data Fluency Lead at JLL, about what it really takes to build and sustain a data literacy program inside an organization. 

He’ll share tips on…
Securing early wins and leadership buy-in
Little “data moments” to integrate data into the organization culture
Recognizing the shifts that show your program is working
And more!

Show notes: https://dataliteracy.com/episode-12

In this episode of The Data Literacy Show, Ben Jones (CEO of Data Literacy) and Alli Torban (Senior Data Literacy Advocate) share a practical framework to help you identify strong AI automation candidates, reduce risk, and keep quality high over time.
Topics covered:
How to use the Frequency–Complexity Matrix to spot good automation opportunities

How to evaluate a task’s exception rate and decide between full or hybrid automation

How to estimate recovery cost so you can start automating safely

The four categories of Automation Health Metrics every team should monitor

Why humans still play a critical role in trusted automation

Links mentioned:
Show notes: https://dataliteracy.com/episode-11
Waitlist for our new course Enhancing Your Workflow with AI: https://dataliteracy.com/enhancing-your-workflow-with-ai/