Share
))
HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
…
continue reading
Manage episode 505194616 series 3688691
Content provided by Andrew Dailey and MGI Research. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andrew Dailey and MGI Research or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of The Margin, MGI Research Managing Directors Andrew Dailey and Igor Stenmark explore one of the hottest, and most misunderstood, topics in enterprise tech: AI in billing. They break down real-world use cases for generative AI and machine learning, assess what’s table stakes versus experimental, and explain how AI is already impacting customer service, fraud detection, and quote-to-cash timelines. They also offer a framework for evaluating vendor claims, discuss risks around data privacy and governance, and tackle the big question: Should you wait or act now?
What You’ll Learn in this Episode:
- The difference between table stakes, differentiated, and experimental AI use cases in billing
- Practical applications of generative AI and machine learning in quote-to-cash processes
- How AI can shorten billing system implementations and reduce disputes
- Key questions to ask vendors about data handling, privacy, and costs
- Why waiting on AI adoption may carry more risk than reward
6 episodes
