ConstellationTV episode 115 covers AI Forum Washington DC highlights, the latest #enterprise M&A (Thoma Bravo), a field report on #Sprinklr’s platform shift and #CX outcomes, and a pragmatic look at #LLMs vs. small models—performance, cost, and where edge deployments change the equation. If you own AI strategy, CX, apps, or data platforms, this one’s for you.
What you’ll learn
How to turn “Responsible AI” into governed workflows and measurable productivity
Why consolidation in martech/AI keeps accelerating—and how to evaluate vendors post-M&A
A CX playbook: instrument for outcomes, not activity; use social + first-party data to lift retention
Model selection 101: when LLMs win (quality/coverage) and when smaller models make sense (latency, cost, edge)
Chapters:
00:00 - Intro
00:35 - AI Forum DC takeaways
05:40 - Thoma Bravo and the consolidation curve
09:20 - Sprinklr: outcomes over outputs
14:05 - LLMs vs. small models
18:30 - Actions for 2025
