2026
Emerj launched a new show called the AI Infrastructure Podcast, and this episode was taken from it.
“we've just launched a new show called the AI infrastructure podcast.”
Topic
Emerj
9 facts from 9 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2026
Daniel Faggella says the AI in Infrastructure podcast, which Emerj launched around the end of June, had three episodes released in its first week.
“We've got three episodes up and we kind of kicked them all out in the same week.”
2026
The closing summary states that ownership and accountability for AI-generated content should be defined before a compliance review, not after.
“ownership and accountability for AI generated content need to be defined before, not after a compliance review.”
Undated
Matthew DeMello says the AI in Business podcast has nearly a million annual listeners.
“With nearly a million annual listeners, AI in Business is the go-to destination for enterprise leaders navigating real-world AI adoption.”
Undated
Matthew DeMello says that at Emerj, large language models have improved the product but have not shortened every workflow.
“thanks to LLMs, the product is better, but not e- every, uh, workflow is necessarily taking a shorter amount of time.”
Undated
Emerj offers a free PDF report titled "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1.
“Three ways to discover AI trends in any sector at emerj.com slash A I T one.”
Undated
The episode's closing summary says AI delivers real operational value when it flags abnormal human or system behavior early enough to contain incidents before they become material.
“AI delivers real operational value when it flags abnormal human or system behavior early enough for teams to contain incidents before they become material.”
Undated
The host summarizes that automating without sequencing and standardization accelerates compounding errors, making governance a prerequisite for AI deployment.
“First, automating finance processes without established sequencing and standardization only accelerates compounding errors, making governance a strict prerequisite for A I deployment.”
Undated
The host summarizes that every pilot should be tied to an existing KPI and show results within roughly ninety days, guarding against inflated vendor claims.
“every pilot should be tied to an existing K P I and expected to show results within roughly ninety days, which guards against inflated vendor claims and unchecked spend.”
Episodes
- 20 Oct 2026Proving AI ROI in Pharma Marketing - with Kellen Winters of Novartis22m
- 13 Oct 2026AI Content Governance Inside a Regulated Bank - with Stefan Zima of Raiffeisen Bank International AG25m
- 24 Sep 2026Modernizing Finance Data for Faster and More Reliable Operations - with Ciprian Porutiu of Marsh26m
- 11 Aug 2026What Mature Security Programs Need Before Deploying AI - with Mark Alvarado of Academy Sports + Outdoors28m
- 11 Jul 2026How Enterprise Leaders Are Building Their Agentic AI Strategy - with Matt Renner of Google Cloud35m
- 4 Jul 2026Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot30m
- 12 Jun 2026How Enterprise Leaders Should Measure the ROI of AI - with Darko Todorovic of HTEC31m
- 24 Feb 2026Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft27m
- 21 Jan 2026Translating AI Models into Business Value From Governance to Deployment - Thomas Holmes of Akur826m