Rephonic
Artwork for Practical AI
Artificial Intelligence
Generative AI
Machine Learning
Data Science
Openai
Large Language Models
AI Agents
Cybersecurity
Federated Learning
AI Adoption
Prompt Engineering
Generative Models
Software Development
Education
E-Commerce
Open Source
Open Source AI
Shopify
Healthcare
Mlops

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations... more

PublishesWeeklyEpisodes377Founded8 years ago
Number of ListenersCategory
Technology

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Artwork for Practical AI

Latest Episodes

As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, le... more

As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his p... more

AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t... more

AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens ... more

Key Facts

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

Recent Guests

Ming-Yu Liu
Vice President of Cosmos Lab at Nvidia
Nvidia
Episode: Open models and the future of Physical AI with NVIDIA
Liam Dunne
Co-founder of Discovered Labs
Discovered Labs
Episode: How to get discovered in AI search
Ben Moore
Co-founder of Discovered Labs
Discovered Labs
Episode: How to get discovered in AI search
Demetrios Brinkmann
Head of Development Experience and a member of the non-technical staff at the Agentic AI Foundation; founder of the MLOps community
Agentic AI Foundation; MLOps community
Episode: Computer-Use Agents and the Future of the Agentic Internet
Chetan Gupta
Chief AI Officer at Rackspace
Rackspace
Episode: Less about Models; More about Architecture
Angie Jones
Vice President of the Agentic AI Foundation
Agentic AI Foundation
Episode: Building the Foundation for the Agentic AI Era
Corey Sanders
Senior Vice President of Product at CoreWeave
CoreWeave
Episode: The Future of AI Infrastructure with CoreWeave
Hamza Tahir
Co-founder at ZenML
ZenML
Episode: Building Durable AI Agents
Dustin Podell
Co-founder and researcher at Black Forest Labs
Black Forest Labs
Episode: Image Generation and Visual Intelligence with Black Forest Labs

Host

Chris Benson
Co-host, AI and autonomy researcher; co-host of Practical AI

Reviews

4.5 out of 5 stars from 638 ratings
  • Very good subjects that are easy to understand for engineers that are not 100% into ai

    Podcast Addict
    5
    BadDaD
    a month ago
  • Audio is broken and super quite

    N

    Apple Podcasts
    1
    Mikerxyz
    United States4 months ago
  • Sponcon?

    I’ve listened to the show since pre-ChatGPT and have learned so much from you two. But not on the Deloitte episode. I hope it paid well!

    Apple Podcasts
    3
    CorkyPuttPutt
    United States8 months ago
  • I genuinely think this podcast is great

    Which is why it pains me to write this review. I have been listening to the show religiously for over year now and the quality of the interviews and the topic matter is always well researched, insightful, and largely, although not always…practical. The most recent episode with Deborah Golden was so awful that couldn’t listen to it. She spoke ad nauseam in generic “consulting speak” that had absolutely no practical component to what she was talking about. Now I realize this may sound harsh, but I... more

    Apple Podcasts
    2
    jtstudent
    United States8 months ago
  • Perfect AI Podcast

    I love this podcast to keep me in touch with the AI industry, and I’ve learned so much about it and how to better use AI professionally and personally. Thanks for my daily brief!

    Apple Podcasts
    5
    Mr. Bresmeth
    United States10 months ago

Listeners Say

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

Vibrant practical takeaways and accessible explanations, with a strong emphasis on governance and enterprise use cases.

Chart Rankings

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

Apple Podcasts
#46
United States/Technology
Apple Podcasts
#34
Canada/Technology
Apple Podcasts
#51
United Kingdom/Technology
Apple Podcasts
#25
Italy/Technology
Apple Podcasts
#34
France/Technology
Apple Podcasts
#42
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Open models and the future of Physical AI with NVIDIA
Q: How do world models differ from traditional language models, and what inputs/outputs define a world model in practical terms?
World models integrate sensory observations and actions to predict future states, enabling both world simulation (predicting futures) and world understanding (explaining what happened) across multiple modalities, not just text.
Open models and the future of Physical AI with NVIDIA
Q: Why is open modeling important for the future of physical AI, especially in terms of hardware and energy efficiency?
Open models inform better hardware design by revealing what capabilities are needed, allow customization for sensor configurations, and enable more efficient, specialized architectures that maximize performance per watt in physical devices.
How to get discovered in AI search
Q: What should brands start with to improve AI visibility quickly, and what is long-term investment required?
Start with clear relevancy and consistent messaging across your site, social channels, and content so that the model can associate your brand with specific terms; then invest in building authority and consensus signals, including careful content strategy for long-tail queries and ensuring consistent branding across platforms.
How to get discovered in AI search
Q: Gotchas aside, what are the mechanisms by which a business shows up in these systems, structurally speaking?
The prompt is tokenized, processed through a reasoning stage, then a retrieval pass pulls 40-60 sources; an agree-like algorithm reduces hallucinations, then a consensus step weighs which sources actually inform the final answer, with citations sometimes not directly reflecting the sources used for grounding.
Computer-Use Agents and the Future of the Agentic Internet
Q: What do you think the shopping experience will look like when conversations dominate the front-end of e-commerce?
Shopping will become an agent-led, chat-driven process where a swarm of agents negotiates across merchants, with marketplace-like dynamics but driven by user preferences and privacy considerations; the key is balancing seamless buying with trust and data controls.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Practical AI

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

Real-world AI discussions led by two hosts who focus on practical implementation, tooling, and governance rather than hype. The show covers enterprise-ready AI, multi-agent systems, open-source frameworks, security and governance for autonomous agents, and actionable business use cases—from infrastructure and orchestration to ethics and compliance. Guests tend to be senior engineers, researchers, and leaders from tech companies and startups, offering hands-on insights and frameworks that listeners can apply in their own organizations. A notable strength is its emphasis on concrete patterns, open ecosystems, and enterprise readiness, making it valuable for practitioners evaluating AI adoption, vendors seeking alignment with real-world needs,... more

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Practical AI launched 8 years ago and published 377 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 Practical AI?

Recent guests on Practical AI include:

1. Ming-Yu Liu
2. Liam Dunne
3. Ben Moore
4. Demetrios Brinkmann
5. Chetan Gupta
6. Angie Jones
7. Corey Sanders
8. Hamza Tahir

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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