
Distilling AI/ML theory into practical insights. One concept at a time. No jargon.
| Publishes | Twice monthly | Episodes | 20 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Building an AI model is one thing: keeping a large language model running reliably in the real world is another. In this episode, we discuss LLMOps, the emerging set of practices and tools for deploying, monitoring, and maintaining large language mod... more
In this episode, we explore how AI is moving from the cloud to tiny devices. TinyML is the field of optimizing models and algorithms to run on microcontrollers, smartphones, and other edge devices with very limited compute and power. We discuss techn... more
This episode is all about the specialized hardware that makes modern AI possible. We explain how GPUs became the workhorses of deep learning by offering massive parallelism for matrix math, and how companies like Google went further to build TPUs (Te... more
In this episode, we explore how synthetic data is created and used to improve AI models. Synthetic data refers to artificial datasets generated by models (like GANs or language models) that mimic real data. We discuss how this can help in situations ... more
People also subscribe to these shows.



How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #54 |
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 |
A technology-focused show that distills AI and machine learning concepts into practical, approachable insights. Across recent episodes, the hosts and guests tend to unpack how modern AI tools work in real settings—from interpreting complex models with practical explainability techniques to implementing efficient fine-tuning, multimodal systems, and code-assisted development. Listeners can expect clear explanations of hands-on techniques, concrete trade-offs, and pragmatic guidance for deploying AI responsibly in engineering, product, and data science roles. The program often highlights tooling, benchmarks, and real-world pitfalls, making it a useful resource for engineers and product leaders who want to stay current without getting lost in ... more
Rephonic provides a wide range of podcast stats for The Practical AI Digest. 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 The Practical AI Digest 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 The Practical AI Digest, 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 The Practical AI Digest, 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 The Practical AI Digest 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 The Practical AI Digest:
1. Everyday AI Podcast – An AI and ChatGPT Podcast
2. The AI Daily Brief: Artificial Intelligence News and Analysis
3. AI Today Podcast
4. The Joe Rogan Experience
5. Up First from NPR
The Practical AI Digest launched a year ago and published 20 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 The Practical AI Digest 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 The Practical AI Digest. 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 The Practical AI Digest include:
1. Kula Rao
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.