NEW! Develop Your AI Use Cases and Change Management Plan with Peter Ivanov
What You Will Learn
Upon completion of this training, learners will be able to:
- Understand AI's potential and limitations - participants will be able to list at least three potential applications and limitations of AI in their specific organizational context.
- Develop and prioritize AI use cases - create AI use case and projects that complement your organizational strengths and strategic goals. Prioritize these use cases based on their risk, effort, and potential reward to ensure a balanced and effective AI portfolio.
- Plan and manage the human aspects of AI adoption - including role evolution, up-skilling, and re-skilling plans.
Description
This course focuses on blending AI with your team’s strengths to develop custom-tailored workflows. Participants will learn practical strategies for AI implementation, aligning AI with organizational goals, and managing the human factors crucial for successful AI adoption. The course includes hands-on activities to define AI use cases, plan implementation phases, and develop competency profiles for AI-supported teams.
Upon completion of this training, learners will be able to understand AI's potential and limitations within their organizational context, evaluate and enhance their organization's AI maturity, define strategic goals and initiatives for AI implementation, develop and prioritize AI use cases, and plan and manage the human aspects of AI adoption.
AGENDA
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Understanding AI Potential and Organizational Context
- Morning:
- Explore AI’s role in business processes and stakeholder involvement.
- Conduct a SWOT Analysis: Identify the strengths, weaknesses, opportunities, and threats related to AI transformation.
- Afternoon:
- Evaluate AI Maturity: Assess your organization’s current level of AI maturity to understand the starting point and areas that need development.
- Align AI initiatives with strategic goals
- Integrate AI with existing initiatives.
- Morning:
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Defining AI Use cases and Change Management Plan
- Morning:
- High-level AI guiding principles, focusing on bias and ethical AI.
- Develop AI use case and projects that complement your organizational strengths and strategic goals.
- Afternoon
- Prioritize these use cases based on their risk, effort, and potential reward to ensure a balanced and effective AI portfolio.
- Data capabilities to close AI maturity gaps and define data governance.
- Plan AI transformation phases, including role evolution, competency development and cultural adaptation.
By following these steps, senior managers can effectively align AI with their company's strategy and goals, ensuring a comprehensive approach to AI integration.
- Morning:
PDU Allocation Table
Ways of Working | Power Skills | Business Acumen | Total | |
---|---|---|---|---|
CAPM® / PMI-CP™ / PMP® / PgMP® | 0 | 7 | 7 | 14.00 |
PMI-ACP® / Agile* | 0 | 7 | 7 | 14.00 |
PMI-SP® | 0 | 7 | 7 | 14.00 |
PMI-RMP® | 0 | 7 | 7 | 14.00 |
PfMP® | 0 | 7 | 7 | 14.00 |
PMI-PBA® | 0 | 7 | 7 | 14.00 |