

EP 40: AI Analytics: From Hindsight to Foresight
AI analytics represents a fundamental shift from analyzing what happened to predicting what will happen. Traditional marketing analytics was retrospective-dashboards showing last month's performance, reports explaining why campaigns succeeded or failed. AI analytics is prospective-predictive models forecasting…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Inside AsembleAI: DeepTech, AI & Science
See all episodes →
EP 57: Ai4 Podcast - Why "The Context Layer" Is What Enterprise AI Is Actually Missing | Andrei Manolache, Designverse

EP 56: Ai4 Podcast - Why AI-Generated Code Needs Its Own Kind of Security | Anand Revashetti, Lineaje

Ep 55: Ai4 Podcast - Turning 35 Years of Paper Archives into AI Training Data | Dilo Wijesuriya, ARC
Similar episodes from other shows
More like Inside AsembleAI: DeepTech, AI & Science →
How AI Is Rewiring Your Customers (And Why Most Businesses Aren't Ready)

EP 23: AI in Marketing Strategies

EP 37: How the Wrong AI Approach Is Costing Brands Big: Lessons for Smarter Implementation - Andrew Bruce Smith

The Most Important AI Lesson Businesses Learned in 2025
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.