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311. How to Build an AI-First Culture with 1,300 People. Real Story.

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Manage episode 520343073 series 2405979
Content provided by Deconstructor of Fun. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Deconstructor of Fun or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

What if your company stopped chasing quarterly goals and spent an entire month training every employee on AI? That's exactly what AppsFlyer did, and it completely transformed how they approach innovation.

In this episode, AppsFlyer down with Barak Witkovsky, Chief Product Officer of AppsFlyer, to discuss one of the boldest AI transformation experiments I've ever heard of.

For four weeks, they paused regular business objectives and put all 1,300 employees through an AI builder course. Not on top of their work. AS their work.

What We Cover:

1. Why AppsFlyer stopped chasing OKRs to invest in AI education across the entire company

2. How AppsFlyer's CEO and CPO learn about AI from their own employees (including marketers who know more than developers at other companies)

3. How AppsFlyer evolved from a measurement platform into a modern marketing cloud with autonomous AI agents

4. How do you get marketers to trust AI when they're deploying tens of millions in ad spend?

5. Why AppsFlyer is betting on an open AI ecosystem with MCP and Agent Hub

6. Are marketers becoming obsolete or are they about to become "bosses of agents"?

7. Why executives are bullish on AI while directors and managers feel anxious (and what to do about it)

Timestamps:

00:00 AI Integration at AppsFlyer

04:15 The ROI of AI Investments

05:14 Evolution to a Modern Marketing Cloud

16:30 Challenges of Omnichannel Measurement

22:26 AI Agents in Marketing

27:01 Becoming an AI-First Company

31:29 The Role of AppsFlyer in the AI Ecosystem

44:38 The Ultimate Growth Machine Vision

47:18 Final Thoughts

  continue reading

727 episodes

Artwork
iconShare
 
Manage episode 520343073 series 2405979
Content provided by Deconstructor of Fun. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Deconstructor of Fun or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

What if your company stopped chasing quarterly goals and spent an entire month training every employee on AI? That's exactly what AppsFlyer did, and it completely transformed how they approach innovation.

In this episode, AppsFlyer down with Barak Witkovsky, Chief Product Officer of AppsFlyer, to discuss one of the boldest AI transformation experiments I've ever heard of.

For four weeks, they paused regular business objectives and put all 1,300 employees through an AI builder course. Not on top of their work. AS their work.

What We Cover:

1. Why AppsFlyer stopped chasing OKRs to invest in AI education across the entire company

2. How AppsFlyer's CEO and CPO learn about AI from their own employees (including marketers who know more than developers at other companies)

3. How AppsFlyer evolved from a measurement platform into a modern marketing cloud with autonomous AI agents

4. How do you get marketers to trust AI when they're deploying tens of millions in ad spend?

5. Why AppsFlyer is betting on an open AI ecosystem with MCP and Agent Hub

6. Are marketers becoming obsolete or are they about to become "bosses of agents"?

7. Why executives are bullish on AI while directors and managers feel anxious (and what to do about it)

Timestamps:

00:00 AI Integration at AppsFlyer

04:15 The ROI of AI Investments

05:14 Evolution to a Modern Marketing Cloud

16:30 Challenges of Omnichannel Measurement

22:26 AI Agents in Marketing

27:01 Becoming an AI-First Company

31:29 The Role of AppsFlyer in the AI Ecosystem

44:38 The Ultimate Growth Machine Vision

47:18 Final Thoughts

  continue reading

727 episodes

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