
Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to sta... more
| Publishes | Weekly | Episodes | 300 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyBusiness | |||

As AI takes over more technical and routine work, the skills that set data and AI professionals apart are shifting. Raw technical ability and a high IQ still matter, but they are becoming table stakes as tools get more capable and teams get smarter. ... more
Business intelligence has never been only about building charts and writing queries. Most of the work that makes a report trustworthy happens below the surface — in the data models, documentation, and stakeholder conversations that users never see. F... more
For forty years, the rule held that transactional and analytical databases had to be separate systems, connected by fragile pipelines that move data from one to the other. That assumption is now being questioned. As AI agents start generating the maj... more
Across the AI industry, capability has exploded while trustworthiness has lagged badly behind. The same technology that writes fluent prose can invent a refund policy that was never real, and most of those errors are subtle enough that no one notices... more
People also subscribe to these shows.




Thumbnails should mimic your YT thumbnails. It’ll be easy to filter out and decide what to listen.
Episode #326 on the role of data analyst was superb! Love the show as a whole but this episode hit home with me. Highly recommend this show to keep up with the industry today.
Best podcast for seasoned and aspiring data scientist and analyst
Who even asks something like this? This pod cast is the audio equivalent of a infomercial except the guests are just sales people selling empty databricks/AI promises to business people they think cannot understand them.
And that’s a good and bad thing. I like TED talks as much as the next guy. The only problem with TED talks is that:
a) they remain ideas.
b) are prone to that individual’s opinion.
I have the general feeling that the podcast wants to stay ahead of the curve, pitching the newest ideas, bringing in the “hottest” people of the Data World.
And while all of this can be interesting, it seldom is valuable. Because, just like TED talks, there is little depth to it.
This is, I think, a choice which... more
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #211 | |
Apple Podcasts | #167 | |
Apple Podcasts | #205 | |
Apple Podcasts | #147 | |
Apple Podcasts | #148 | |
Apple Podcasts | #246 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
DataFramed consistently covers the practical side of data and AI, featuring deep-dive conversations with data scientists, engineers, and AI researchers. Episodes span topics like analytics engineering, data governance, AI ethics, agentic analytics, forecasting, and the evolving data stack, often focusing on how organizations apply data work in real-world settings. A standout is the mix of technical depth with governance and organizational considerations, plus forward-looking discussions on AI-enabled tools, safety, and responsible deployment. Listeners who want actionable insights for building data products, improving data teams, or sponsoring cutting-edge data conversations will likely find it valuable, especially if they enjoy interviews ... more
Rephonic provides a wide range of podcast stats for DataFramed. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to DataFramed and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for DataFramed, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for DataFramed, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers DataFramed has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with DataFramed:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. The Real Python Podcast
3. Practical AI
4. Talk Python To Me
5. NVIDIA AI Podcast
DataFramed launched 9 years ago and published 300 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for DataFramed from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of DataFramed. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on DataFramed include:
1. Helen Wall
2. Reynold Xin
3. Dan Klein
4. James Zou
5. Charlene Li
6. Nell Thomas
7. Dorie Clark
8. Marina Wyss
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.