Establishing an AI culture

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Maarten Van den Broeck

Senior Content Developer at DataCamp

The value of AI in organizations

AI value in organizations

The value of AI in organizations

AI value in organizations: competitive advantage

The value of AI in organizations

AI value in organizations: less costs

The value of AI in organizations

AI value in organizations: revenue and efficiency

The value of AI in organizations

AI value in organizations: customer experience

The value of AI in organizations

AI value in organizations: better products

AI for personalization example: identifying customers' shopping habits leads to more loyalty and increased sales.

AI value example: personalization

Building an AI-driven organization

Roadmap

1. Roadmap: obtain leadership support and a clear vision for AI adoption

Building an AI-driven organization

Data strategy and governance

1. Roadmap: obtain leadership support and a clear vision for AI adoption

2. Data strategy: plan to collect, use, and govern data for AI

Building an AI-driven organization

Infrastructure and resources

1. Roadmap: obtain leadership support and a clear vision for AI adoption

2. Data strategy: plan to collect, use, and govern data for AI

3. Infrastructure resources: scalable computing infrastructure and AI tools

Building an AI-driven organization

AI roles

1. Roadmap: obtain leadership support and a clear vision for AI adoption

2. Data strategy: plan to collect, use, and govern data for AI

3. Infrastructure resources: scalable computing infrastructure and AI tools

4. Roles: talented AI, Machine Learning, and Data Science roles

Building an AI-driven organization

Cross-functional collaboration

5. Collaboration: cross-functional AI projects

Building an AI-driven organization

Defining and measuring success

5. Collaboration: cross-functional AI projects

6. Success: define and pursue success aims, e.g. customer-centric, impact on revenue, etc.

Building an AI-driven organization

AI and data literacy

5. Collaboration: cross-functional AI projects

6. Success: define and pursue success aims, e.g. customer-centric, impact on revenue, etc.

7. AI & Data literacy: continuous AI and data evangelization for everyone

Building an AI-driven organization

Responsible AI

5. Collaboration: cross-functional AI projects

6. Success: define and pursue success aims, e.g. customer-centric, impact on revenue, etc.

7. AI & Data Literacy: continuous AI and data evangelization for everyone

8. Responsible AI: ethical, secure, and accountable use of AI and data

Building an AI-driven organization

8 elements, 3 dimensions

Business, data and infrastructure, people and culture

AI-driven organization: roadmap

Support, vision and roadmap

AI roadmap

AI-driven organization: roadmap

Support, vision and roadmap

AI roadmap: setting objectives

AI-driven organization: roadmap

Support, vision and roadmap

AI roadmap: team, infrastructure, and data

AI-driven organization: roadmap

Support, vision and roadmap

AI roadmap: iterate, scale, learn, governance and ethics

Let's practice!

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