# #239: Building better business culture around AI

Page: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/239-building-better-business-culture-around-ai
Text version: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/239-building-better-business-culture-around-ai.md
Podcast: [Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science](https://stenobird.com/podcast/data-futurology-leadership-and-strategy)
Published: 2023-07-04T23:39:56+00:00
Episode link: https://podcasters.spotify.com/pod/show/datafuturology/episodes/239-Building-better-business-culture-around-AI-e26i8gr
Audio file: https://anchor.fm/s/3fab060/podcast/play/72998875/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-6-4%2F338032086-44100-2-76345445ba0b.m4a
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JSON: https://stenobird.com/v1/public/podcasts/data-futurology-leadership-and-strategy/episodes/239-building-better-business-culture-around-ai
Duration seconds: 2167

## Resource

Successful AI integration requires moving beyond technical implementation to focus on organizational culture, trust, and leadership. This panel explores how to build cross-functional cooperation and data literacy to drive tangible business value.

## Highlights
- Main idea: AI leadership requires a specific balance of technical roadmap knowledge and the ability to manage organizational change
- Practical takeaway: Establish clear, shared definitions for key metrics to prevent misinterpretation across different business departments
- Failure mode: Appointing leaders based solely on general numeracy rather than specific AI/ML feasibility and risk expertise
- Practical takeaway: Secure executive buy-in by focusing on small, demonstrable wins rather than long-term, high-risk projects
- Main idea: Retention in data science depends on providing a pipeline of complex, high-impact work that drives business outcomes

## Topics

AI Strategy, Data Leadership, Organizational Culture, Change Management, Data Literacy, Cross-functional Teams, Executive Buy-in, Generative AI

## Chapters
- 3:40 — The Role of Leadership in AI: The importance of leadership in driving collective organizational action and setting the direction for AI initiatives.
- 6:20 — Building Cross-Functional Cooperation: Using data champions and collaborative teams with technology counterparts to improve data quality and business integration.
- 9:00 — Managing Rapid Technological Change: Developing organizational resilience to handle the rapid influx of new generative AI tools and applications.
- 14:20 — Communication and Ownership: Establishing effective communication channels between product management, engineering, and data teams to ensure shared ownership.
- 17:00 — Motivating Data Talent: How to retain specialized talent by ensuring work is interesting, complex, and directly linked to business value.
- 22:10 — Culture as a Retention Tool: The impact of organizational culture and leadership on talent stability during periods of platform or structural change.
- 30:20 — Standardizing Data Definitions: Reducing errors by creating rigorous, shared definitions for key business terms and metrics across the organization.

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## Transcript

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