AI strategy for product management - from conception to implementation

Basics of artificial intelligence

• Understanding AI in product management, how it works and types of AI.
• What AI can and cannot do - potentials and limits of AI use.
• Data management and legal regulations as a basic requirement.

AI strategy in product management

• Goals and vision: What do we want to and can we achieve in the long term?
• Integration of AI into the product strategy.
• Current trends and developments in the field of AI.

Methods for the practical use of AI in product management

• Derivation of use cases using the AI canvas.
• Integration of AI in various phases of the product life cycle.
• Opportunities for increasing efficiency and value through AI, e.g., LLMs, agents.

Changes in the working world of the product manager

• New requirements and skills, change management in the team.
• Risks of using AI, dealing with fears and resistance.
• Adaptation of structures and processes.

Measurable success through the use of artificial intelligence

• KPIs for measuring the performance of AI in product management.
• Business case: Calculation of the long-term economic success of AI projects.