AI Strategy Foundations for Data Scientists and Team Leaders

Build an AI strategy foundation for seasoned data scientists and team leads to drive impact and high-value AI projects.

Introduction

• Builder to partner: Taking a strategic role in AI

1. What Is AI Strategy?

• What is AI strategy?
• What is your role in AI strategy?
• AI strategy vs. AI plan
• Understanding the AI strategy lifecycle

2. Foundations of AI Strategy for DS

• Why the business strategy matters
• Data and technical strategy
• Why AI strategy is product focused
• Partnerships: Building to innovate
• Risk management and governance
• Handling competition

3. Planning and Operations

• Problem scoping
• Managing trade-offs
• Building teams and culture
• Continuous transformation

4. Executing AI Projects

• Bridging strategy and execution
• Setting and measuring impact
• Development the right way

5. Putting it Together: AI Strategy in Practice

• Tailoring AI strategy to industry
• AI strategy across the business
• Change management

Conclusion

• Continue to step up as a strategic partner