Establishing an AI culture

Understanding Artificial Intelligence

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!

Understanding Artificial Intelligence

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