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Practical AI

Practical AI LLC
Generative AI
Machine Learning
E-Commerce
Openai
Product Imagery
Shopify
Open Source AI
Large Language Models
AI Collaboration
Data Science
Prompt Engineering
Hackathon
Natural Language Processing
Data Privacy
Computer Vision
Mlops
Licensing In AI
Humanloop
Generative Models
Mistral Model

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

PublishesWeeklyEpisodes318Founded7 years ago
Number of ListenersCategory
Technology

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Artwork for Practical AI

Latest Episodes

An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpa... more

Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what m... more

In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling sec... more

Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep... 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

Chong Shen Ng
Research Engineer at Flower Labs
Flower Labs
Episode: Federated learning in production (part 2)
Patrick Foley
Lead AI Architect focused on federated learning
Intel Corporation
Episode: Federated learning in production (part 1)
Loïc Houssier
Head of Engineering at Superhuman
Superhuman
Episode: Emailing like a superhuman
Gavin Winston
Professor at Queen's University
Queen's University
Episode: Seeing beyond the scan in neuroimaging
Robert Brennan
Co-founder and CEO at All Hands AI
Episode: Open source AI to tackle your backlog
Graham Neubig
Co-founder and Chief Scientist at All Hands AI, Associate Professor at Carnegie Mellon
Carnegie Mellon
Episode: Open source AI to tackle your backlog
Pavel Veller
Chief Technologist at EPAM Systems
EPAM Systems
Episode: Orchestrating agents, APIs, and MCP servers
DJ Singh
Staff Machine Learning Engineer at Groq
Groq
Episode: Software and hardware acceleration with Groq
Kyle Daigle
COO at GitHub
GitHub
Episode: AI-assisted coding with GitHub's COO

Hosts

Daniel Whitenack
CEO at Prediction Guard, Co-host
Chris Benson
Principal AI Research Engineer at Lockheed Martin, Co-host

Reviews

4.5 out of 5 stars from 547 ratings
  • This could have been really cool

    There is only like 10 minutes of actual decent information in each episode. it's basically a platform for plugging products. Pretty much the Walmart model of darknet diaries.

    Audible
    3
    justin
    United States3 months ago
  • Practical and helpful

    Adds great value in helping me understand the practicalities of AI and being introduced to business cases for AI.

    Apple Podcasts
    5
    Chris Goldswain
    Germany7 months ago
  • Perfect Balance ⚖️

    This show is the perfect balance between fun and informative. Hosts Daniel Whitenack and Chris Benson are the best tour guides in the sea of knowledge that is AI, Machine Learning and its applications. With a roster of Subject-Matter Experts and people working in projects that push the boundaries in terms in the field, I can mostly say: If you’re into AI, the subscription is a MUST

    Apple Podcasts
    5
    Mr.Ibarra
    Mexico9 months ago
  • Practical AI is one of the best podcasts on AI

    This is a gem of a podcast, both the hosts are amazing and the guests they bring in are superb too. Keep up the great work.

    Apple Podcasts
    5
    Geshan Manandhar
    Australia10 months ago
  • Six Stars - Relevant, Insightful & Helpful

    IMO the best operator-focused AI/LLM podcast.

    Apple Podcasts
    5
    Klangurteil
    United Statesa year ago

Listeners Say

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

The variety of expert guests adds substantial value to the discussions, providing firsthand insights into industry advancements.
Some listeners find the content occasionally too technical for casual audiences, while others greatly appreciate the depth.
Hosts are engaging and knowledgeable, creating a dynamic listening experience.
Offers practical insights into AI applications, making complex subjects accessible.

Chart Rankings

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

Talking Points

Recent interactions between the hosts and their guests.

Federated learning in production (part 2)
Q: Was that idea of federation or distributed computing, or however you thought about that, was that kind of a key piece of what you were doing in academia?
It wasn't something I came across in academia, but when I stepped into the data science world, I found people looking into it.
Emailing like a superhuman
Q: What hard lessons have you learned from doing AI engineering over time?
User education and managing user expectations regarding perceived quality of AI features are essential.
Emailing like a superhuman
Q: How does the rise of AI features and capabilities affect Superhuman?
The rise of AI has introduced new features that enhance productivity and user expectations, shifting from simple tasks to more intelligent functionalities.
Model Context Protocol Deep Dive
Q: How do you build an MCP server?
You can create an MCP server by exposing tools and using specific routes and protocols defined in the MCP standard.
Seeing beyond the scan in neuroimaging
Q: How is the performance of AI algorithms in detecting abnormalities compared to human expertise?
AI has potential for enhancing detection of subtle abnormalities, but human oversight remains crucial due to the variability in human performance.

Audience Metrics

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Listeners per Episode
Gender Skew
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Frequently Asked Questions About Practical AI

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

This podcast features in-depth discussions focused on the practical applications of artificial intelligence and its related fields, such as machine learning, deep learning, and autonomous operations. Aimed predominantly at technology professionals, business leaders, and AI enthusiasts, the series engages with expert guests to explore recent advancements and the implications of AI across various industries. With an emphasis on making complex concepts accessible, episodes cover topics ranging from AI-assisted coding and productivity applications to cybersecurity and mental health, creating a comprehensive view of how AI can be integrated into everyday workflows and decision-making processes.

One distinctive aspect is the blend of real-world ... more

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How many episodes of Practical AI are there?

Practical AI launched 7 years ago and published 318 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. Chong Shen Ng
2. Patrick Foley
3. Loïc Houssier
4. Gavin Winston
5. Robert Brennan
6. Graham Neubig
7. Pavel Veller
8. DJ Singh

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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