A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detaile... more
Publishes | Weekly | Episodes | 304 | Founded | 6 years ago |
---|---|---|---|---|---|
Number of Listeners | Categories | Tech NewsTechnologyNews |
Andrew Rabinovich, CTO and Head of AI at Upwork, discusses how digital work marketplaces serve as ideal testing grounds for AI agents, exploring their custom reinforcement learning approach called RLEF (Reinforcement Learning from Experience).
Subs... more
Jay Alammar is Director and Engineering Fellow at Cohere and co-author of the O’Reilly book “Hands-on Large Language Models.”
Subscribe to the Gradient Flow Newsletter 📩 gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · ... more
Ben Lorica and Evangelos Simoudis discuss three critical topics for AI practitioners: the complexities of AI regulation, with debates over foundation model oversight versus domain-specific regulations and concerns about IP protection in AI training ... more
In this episode, Anant Bhardwaj, CEO of Instabase, provides a pragmatic guide for AI practitioners building enterprise solutions.
Subscribe to the Gradient Flow Newsletter 📩 gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcas... more
People also subscribe to these shows.
I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.
I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.
Love this show. Keep up the good woek!
Hey man really great your show.Love it!
I listen this show again and again!
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 | #67 | |
Apple Podcasts | #154 |
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 |
Content focuses on themes such as artificial intelligence, data science, and technology, featuring informal discussions with industry leaders, researchers, and practitioners. The conversations also delve into trends within the realms of machine learning, regulatory concerns, and advancements in various technologies relevant to data management. Notably, the series emphasizes practical insights, providing valuable knowledge for both tech enthusiasts and professionals looking to stay informed about the rapidly evolving landscape of data and its applications. Unique to the series is the diverse range of guests, all of whom bring specialized expertise across sectors, contributing to an engaging dialogue that captures the complexities and innovat... more
Rephonic provides a wide range of podcast stats for The Data Exchange. 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 Data Exchange 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 Data Exchange, 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 Data Exchange, 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 Data Exchange 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 Data Exchange:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Latent Space: The AI Engineer Podcast
3. Practical AI
4. Data Engineering Podcast
5. This Day in AI Podcast
The Data Exchange launched 6 years ago and published 304 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 Data Exchange 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 Data Exchange. 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 Data Exchange include:
1. Andrew Rabinovich
2. Jay Alammar
3. Raiza Martin
4. Akshay Agrawal
5. Jennifer Prendki
6. Sagar Batchu
7. Roy Zanbel
8. Shreya Shankar
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.