Can AI really transform collections if the data behind it is flawed?

In this episode of Applying AI, Adam Parks sits down with Mike Walsh from EXL and Manny Plasencia from TransUnion to explore why data to fuel AI in collections is the real driver of performance.

They break down how data decay impacts AI decision making, why AI acts as an amplifier of existing data quality, and how organizations can strengthen data foundations before scaling automation. You’ll also hear practical perspectives on how to improve data quality for AI in collections.

Listen now and subscribe for more real-world AI insights shaping receivables management.

Podcast Website:
https://receivablesinfo.com/applying-ai/data-fuel-ai-collections-plasencia-walsh

EXL Website:
https://www.exlservice.com/

TransUnion Website:
https://www.transunion.com/

Mike Walsh LinkedIn:
https://www.linkedin.com/in/mike-walsh-b88b271/

Manny Plasencia LinkedIn:
https://www.linkedin.com/in/manny-plasencia-69562631/

Adam Parks LinkedIn:
https://www.linkedin.com/in/adamparks/

artificial intelligence in collections,
data driven collections strategy,
machine learning in receivables management,
data quality for ai decisioning,
right party contact optimization,
receivables analytics,
ai strategy for debt collection

#datafuelai #mikewalsh #mannyplasencia #aicollections