This series was recorded live at HR Tech 2025 inside the HR Executive studios on the expo floor in partnership with the WRKdefined Podcast Network. Make sure you’re subscribed to the full series and visit HRExecutive.com for the news, analysis, and insights shaping the future of work. This series was recorded live at HR Tech 2025 inside the HR Executive studios on the expo floor in partnership with the WRKdefined Podcast Network. Make sure you’re subscribed to the full series and visit HRExecutive.com for the news, analysis, and insights shaping the future of work.
AI promises magic, but data is still the fuel and most teams are running on fumes. Ike Benion breaks down why TA keeps hitting walls, why fragmented stacks kill insight, and how agentic AI is about to raise both the stakes and the expectations for recruiters. This one is for anyone drowning in tools, noise, and hype.
In this episode we speak with Ike Bennion, VP of Product at Visier about data integrity, people analytics, predictive modeling, agentic AI, TA workflow fragmentation, and how organizations can build smarter, cleaner systems.
Key Takeaways
Data is the fuel for AI and most TA teams are feeding engines garbage
Fragmented stacks and weak data collection crush predictive analytics
People analytics teams hold the keys to real hiring insight
More data reduces false positives and sharpens talent signals
Agentic AI raises expectations but exposes messy foundations
Most teams regret not collecting critical fields six months earlier
Contextualization matters more than prompts for high impact AI work
LLMs accelerate research but can’t fix broken processes
AI washing is everywhere and buyers need sharper questions
You can’t skip the hard part of making data work together
Chapters
00:00 Why companies still don’t understand the data problem
01:00 What Ike is building at Visier
01:20 Helping managers make better decisions
01:49 How TA and people analytics should partner
02:30 Unlocking predictive hiring with cleaner data
03:03 What company-level data can reveal about candidates
03:38 Why more data scrapes out false positives
04:09 The chaos of 10+ tools in TA stacks
04:46 What data teams wish TA understood
05:14 Why data construction determines future insight
06:06 How AI accelerates recruiters but can’t erase history
06:25 The power of contextualizing AI for better decisions
06:42 Where agentic AI fits in recruiting
07:07 Do you say please and thank you to your AI
07:26 The environmental side of AI usage
07:37 Why fragmented stacks make AI risky
07:47 The rise of AI washing
08:07 Why bad data breaks every AI promise
08:57 The hype cycle and why we’re not in enlightenment
09:21 Why expectations have snapped back
09:43 Agents vs basic LLMs
10:37 Why organizations will feel the bubble pop
11:02 The promise and limits of predictive people analytics
12:12 Why analytic reasoning is now the top skill
12:34 What buyers should ask to avoid AI washing
13:03 The two biggest forms of AI washing
14:08 What future of work questions buyers should ask
14:30 Why we need to rethink work itself
15:02 How AI should transform processes
15:08 How to stay connected with Ike
Guest Info
Ike Benion, VP of Product, Visier
Website: https://www.visier.com
LinkedIn: https://www.linkedin.com/in/ikebennion/
Host
Brandon Jeffs, Host of the Rebel TA Podcast
LinkedIn: https://www.linkedin.com/in/brandohires/
Connect with WRKdefined
Site: http://www.wrkdefined.com
TikTok: https://www.tiktok.com/@wrkdefined
LinkedIn: https://www.linkedin.com/company/wrkdefined
Facebook: https://www.facebook.com/WRKdefined
Twitter: https://twitter.com/WRKdefined
Substack: https://wrkdefined.substack.com/
Powered by the WRKdefined Podcast Network.
Sponsors
