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DataFramed

DataCamp
Generative AI
Artificial Intelligence
Data Science
Machine Learning
Business Intelligence
AI Agents
Data Quality
Data Engineering
Data Governance
Data Literacy
Large Language Models
Data Analytics
Digital Transformation
Automation
AI Governance
SQL
Datacamp
Data Management
Data Storytelling
Communication Skills

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

PublishesWeeklyEpisodes300Founded9 years ago
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Latest Episodes

AI agents are moving from demos into production, but many teams run into the same wall: responses that take too long and cost too much. As models grow bigger and reason through more steps before answering, every chained agent adds delay, and that add... more

As agents take over more of the actual coding, the nature of technical work is shifting from producing software to judging it. Engineers increasingly spend their time specifying what should be built and then checking whether an agent's output actuall... more

Hypergrowth companies rarely scale on strategy alone — they scale on how fast decisions get made and how much risk employees feel safe taking. A recurring idea in high-growth environments is treating decisions differently depending on whether they're... more

Across the data and AI industry, infrastructure that once served dashboards and human analysts is being rebuilt to serve autonomous agents instead. That shift changes what "AI-ready data" actually means, pushing teams to rethink documentation, govern... more

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Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
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Find out how many people listen to this podcast per episode and each month.

Recent Guests

Ledion Bitincka
CTO at Cribl
Cribl
Episode: #378 The Data Engine for AI with Ledion Bitincka, CTO at Cribl & Nikhil Mungel, Head of AI R&D at Cribl
Nikhil Mungel
Head of AI R&D at Cribl
Cribl
Episode: #378 The Data Engine for AI with Ledion Bitincka, CTO at Cribl & Nikhil Mungel, Head of AI R&D at Cribl
Jon McNeill
CEO at DVx Ventures; former President of Tesla
DVx Ventures
Episode: #377 The Algorithm for Hypergrowth with Jon McNeill, CEO at DVx Ventures & Former President at Tesla
Tristan Handy
CEO/President of the merged Fivetran dbt Labs, leading open data stack initiatives
Fivetran + dbt Labs
Episode: #376 Rethinking the Data Stack in the age of AI with Tristan Handy, President of Fivetran + dbt Labs
Tudor Achim
CEO and co-founder at Harmonic, focused on mathematical superintelligence
Harmonic
Episode: #375 Is Math The Key to Better Coding AI? With Tudor Achim, CEO at Harmonic
Phil Le Brun
Enterprise strategist, AWS (former corporate VP and international CIO at McDonald's)
Amazon Web Services
Episode: #374 How to Thrive in a World of Continuous Transformation | Phil Le Brun and Jana Werner, Executives in Residence at AWS
Jana Werner
Digital transformation leader at Tesco Bank and DHL, AWS executive
Amazon Web Services
Episode: #374 How to Thrive in a World of Continuous Transformation | Phil Le Brun and Jana Werner, Executives in Residence at AWS
Jennifer Smith
CEO and Co-Founder at Workflow Context Platform, Scribe
Scribe / Workflow Context Platform
Episode: #373 What Do Your Colleagues Do All Day? (The Value of Institutional Knowledge & AI for Process Reengineering) | Jennifer Smith, CEO at Scribe
Srini Raghavan
Chief Product Officer at Freshworks (Enterprise Service Operations Platform)
Freshworks
Episode: #372 Bulletproof Large Scale Data Science with Srini Raghavan, Chief Product Officer at Freshworks

Hosts

Richie Cotton
Host and frequent co-host of the show focusing on data and AI leadership.
Adel Nehme
Co-host and host of the show with a focus on guiding AI/data conversations.

Reviews

4.8 out of 5 stars from 814 ratings
  • Thumbnails should mimic your YT thumbnails

    Thumbnails should mimic your YT thumbnails. It’ll be easy to filter out and decide what to listen.

    Apple Podcasts
    1
    Datacamp
    United States9 months ago
  • Data analyst episode

    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.

    Apple Podcasts
    5
    Dimmy89037
    United Statesa year ago
  • Best podcast for seasoned and aspiring data scientist and analyst

    Podcast Addict
    5
    Stoik
    2 years ago
  • “Do you know what democratization is?”

    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.

    Apple Podcasts
    1
    Gerard Diederik de Jong
    Netherlands3 years ago
  • It is like TED talks for Data Science

    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

    Apple Podcasts
    3
    Fabio_DC
    Belgium3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The host asks thoughtful, well-informed questions and keeps guests focused on practical takeaways.
Mixed reception on audio quality and pacing in some episodes, but content quality is often praised.
Guests are consistently senior data or AI leaders offering actionable insights.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#196
United States/Technology
Apple Podcasts
#97
United Kingdom/Technology
Apple Podcasts
#190
Canada/Technology
Apple Podcasts
#183
Germany/Technology
Apple Podcasts
#210
Italy/Technology
Apple Podcasts
#228
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

#377 The Algorithm for Hypergrowth with Jon McNeill, CEO at DVx Ventures & Former President at Tesla
Q: How do you implement the algorithm in practice? Any culture shifts?
Culture should reward curiosity, speed, and impact rather than risk avoidance, with two-way doors that allow reversibility and fast learning. Leaders must articulate the why and empower frontline teams to act.
#377 The Algorithm for Hypergrowth with Jon McNeill, CEO at DVx Ventures & Former President at Tesla
Q: What do you do before then? Like talking through the previous steps?
You start by super simplifying the business, eliminat­ing unnecessary requirements, then deleting steps, running processes manually to find kinks, and finally applying speed to expose where flaws exist.
#377 The Algorithm for Hypergrowth with Jon McNeill, CEO at DVx Ventures & Former President at Tesla
Q: Hi Jon, welcome to the show. What's your favorite success story from using this algorithm?
The favorite success story is Tesla growing from about 1.8 billion in revenue to 20 billion in 30 months, a 10x increase, which illustrated the power of applying the algorithm across the organization.
#376 Rethinking the Data Stack in the age of AI with Tristan Handy, President of Fivetran + dbt Labs
Q: Hi Tristan, welcome to the show.
Thanks for having me. Happy to discuss the merger, the rationale behind it, and what we hope to achieve with an open, interoperable data stack that supports AI initiatives.
#375 Is Math The Key to Better Coding AI? With Tudor Achim, CEO at Harmonic
Q: What would a mathematical superintelligence look like and how would we know we've achieved it?
A superintelligence would solve open problems or prove challenging conjectures that currently resist human proof, such as famous millennium problems, and verification would be aided by formal languages like Lean allowing machine-checked proofs to demonstrate rigor.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Frequently Asked Questions About DataFramed

What is DataFramed about and what kind of topics does it cover?

DataFramed focuses on data and AI leadership, trends, and practical implementations in enterprise settings. Recent episodes center on turning institutional knowledge into scalable, AI-assisted processes; designing platform-based, agent-centric software for enterprises; and integrating governance, reliability, and human collaboration into AI-driven data work. Guests range from CIO-level leaders to product and data executives, sharing actionable frameworks for AI adoption, data governance, and building scalable data-enabled workflows. The show often blends strategic vision with hands-on anecdotes, including ROI considerations, governance guardrails, and real-world use cases in analytics, BI, and enterprise AI. A notable strength is bridging h... more

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How many episodes of DataFramed are there?

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.

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What guests have appeared on DataFramed?

Recent guests on DataFramed include:

1. Ledion Bitincka
2. Nikhil Mungel
3. Jon McNeill
4. Tristan Handy
5. Tudor Achim
6. Phil Le Brun
7. Jana Werner
8. Jennifer Smith

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.

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