2026 - we are back and it aint sayf

2026 - we are back and it aint sayf

From Standard Deviation Podcast by Juliana Jackson, Simo Ahava

January 29, 2026 · 46 min · Season 5 · Episode 1

About this episode

The hosts discuss the current state of the industry with guest Sayf Sharif, focusing on AI, data quality, and marketing strategies.

It’s 2026. We’re back. This week, we trauma-bond with Sayf Sharif (Three Bears Data / OptiMeasure) about the current state of the industry. We try to make our way through the "AI slop" to find the actual predictive math that matters, rant about why marketers are still obsessed with linear funnels in a non-linear world, and explain why feeding bad data into an AI model is just a really fast way to generate polished garbage. Essentially: Stop buying F1 analytics vehicles if you don’t have a licensed driver on your team.

People in this episode

Hosts: Juliana Jackson, Simo Ahava

Guest: Sayf Sharif

Topics covered

  • AI
  • data analytics
  • marketing
  • predictive math
  • linear funnels
  • bad data

Keywords

  • AI slop
  • predictive math
  • linear funnels
  • bad data
  • data analytics
  • marketing strategies

Mentioned in this episode

Organizations: Three Bears Data, OptiMeasure

More episodes of Standard Deviation Podcast

Explore listener stats, chart rankings, contacts and more on the Standard Deviation Podcast podcast page.