AI in Infrastructure Podcast
Emerj AI ResearchThe AI in Infrastructure podcast focuses on how AI and adjacent capabilities are built, deployed, and scaled inside the world's largest enterprises from data platforms and GPUs to orchestration, governance, and energy management. As organizations modernize their technical foundations, these systems increasingly determine not only AI performance but long-term competitiveness. Published by Emerj AI ... more
| Publishes | Twice weekly | Episodes | 9 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyBusinessManagement | |||
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Latest Episodes
The enterprise shift at the center of this episode is the growing gap between AI ambition and the underlying data and context infrastructure required to run systems reliably at scale. In this episode, Dr. Ali Alkhafaji, Chief Executive Officer at App... more
General‑purpose AI tools are hitting reliability and accuracy limits in professional workflows, forcing enterprises to rethink where these systems can truly deliver operational value. In this episode, David Wong, Chief Product Officer at Thomson Reut... more
The shift from guarded, siloed data access to fully agentic, end‑to‑end AI workflows is forcing enterprises to rethink how accuracy, access control, and security must operate when anyone can query sensitive information through natural language. In th... more
Legacy enterprises are being forced to rethink how they modernize data, infrastructure, and operating models as agentic systems begin reshaping workflows once defined entirely by humans. In this episode, Matt Renner, President and Chief Revenue Offic... more
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I like this new segment that focuses on the AI infrastructure, I’ve been listening to AI in business but this is my new fav cause I work for an AI infra company called Shakudo.io and I think it would be great to hear our CEO on one of the next episodes
Apple Podcasts5jxck0
Canadaa month ago
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Apple Podcasts | #177 |  France/Technology |
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Frequently Asked Questions About AI in Infrastructure Podcast
What is AI in Infrastructure Podcast about and what kind of topics does it cover?
This show centers on how enterprise AI and adjacent capabilities are built, deployed, and scaled within large organizations, with a focus on data platforms, governance, orchestration, and energy-conscious infrastructure. Episodes explore practical, non-technical perspectives on how Fortune 500 leaders design and operate the foundations that power AI at scale, including how to ground AI systems in real data, minimize hallucinations, and balance in-house development with vendor tools. Notable angles include agentic and programmable AI in enterprise workflows, RBAC and governance for regulated industries, and the shift from traditional compute to intelligent, physical AI deployments. The conversations tend to emphasize actionable strategies, i... more
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How many listeners does AI in Infrastructure Podcast get?
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Which podcasts are similar to AI in Infrastructure Podcast?
These podcasts share a similar audience with AI in Infrastructure Podcast:
1. The AI in Business Podcast
2. Practical AI
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. This Week in Tech (Audio)
5. Y Combinator Startup Podcast
How many episodes of AI in Infrastructure Podcast are there?
AI in Infrastructure Podcast launched 2 months ago and published 9 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact AI in Infrastructure Podcast?
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Where can I see ratings and reviews for AI in Infrastructure Podcast?
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What guests have appeared on AI in Infrastructure Podcast?
Recent guests on AI in Infrastructure Podcast include:
1. David Wong
2. Anahita Tafvizi
3. Matt Renner
4. Joe Lang
5. Debanjan Saha
6. Drew Henry
7. Juan Orlandini
8. Guillermo Vazquez
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.