From Data & AI Strategy to Impact
Successfully Implementing Data and AI Initiatives
Did you know?
This course is part of the certified "AI & Data Strategist" Master Class. When you enroll in the entire Master Class, you’ll save 21 percent compared to enrolling in the individual modules.
- Why Good Strategies Often Fail in Implementation
- Success Factors and Common Pitfalls
- From strategy to implementation
- Why Implementation Is Not a Linear Process
- Introduction to StratOps (Strategy Meets Operations)
How do I prioritize and manage my data and AI portfolio?
- From Strategy to Portfolio
- Prioritization in the Portfolio
- Portfolio Management for Data and AI Initiatives
- Quick Wins vs. Long-Term Transformation
- Dependencies and Roadmaps
- The Relationship Between Business Strategy and the Portfolio
How do I work in a lean, agile, and AI-driven way?
- Lean Thinking for Data and AI Projects
- Using Agile Methods Effectively
- Scrum, Kanban, and Hybrid Process Models
- Jira & Digital Collaboration Tools
- "Human-in-the-Loop" Instead of "Human-out-of-the-Loop"
- Discussion of the Transfer Projects
- Prioritizing Initiatives
- Joint Sprint Planning
- Roles and responsibilities
- Simulation of a Portfolio Decision
- Overview of Self-Study Phase 2
How do I measure success using OKRs and KPIs?
- The Difference Between Vision, Goals, and Outcomes
- Formulating OKRs Correctly
- Selecting the Right KPIs
- Leading vs. Lagging Indicators
- Monitoring and Performance Management
- Dashboards for Data and AI Initiatives
How can I facilitate change and ensure long-term success?
- Making Transformation a Success
- Change Management for Data and AI Projects
- Communication and stakeholder management
- Dealing with Resistance
- Continuous improvement
- Learning from Successes and Mistakes
- A Look Back at Portfolio, Lean, OKRs, and Change
- Presentation of the Transfer Projects
- Joint Implementation Plan for the Next 80 Days
- Exchange of experience
- Lessons Learned
- Outlook for Further Professionalization
1. How to Successfully Implement a Data and AI Strategy
- Why Good Strategies Often Fail in Implementation: Success Factors and Common Pitfalls
- From Strategy to Implementation: Why Implementation Is Not a Linear Process
- Introduction to StratOps (Strategy Meets Operations)
2. The Data & AI Portfolio: Prioritization & Management
- From Strategy to Portfolio
- Portfolio Management for Data and AI Initiatives
- Quick Wins vs. Long-Term Transformation
- The Relationship Between Business Strategy and the Portfolio
3. Organizing Successful Implementation Teams and Appropriate Work Methods
- Using Agile Methods Effectively
- Lean Thinking for Data and AI Projects
- Prioritizing Initiatives & Joint Sprint Planning
- Roles and responsibilities
- "Human-in-the-Loop" Instead of "Human-out-of-the-Loop"
4. Facilitate change and ensure long-term success
- Change Management for Data and AI Projects
- Communication and stakeholder management
- The Difference Between Vision, Goals, and Outcomes
- Appropriate target systems and metrics for data and AI projects
- Dashboards for Data and AI Initiatives
- Mindset: Continuous improvement and learning from successes and mistakes
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning Community: A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask questions.
Certificate of Completion and Open Badge: As a graduate of the class, you’ll receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn), among other places.
- You know how to successfully implement a data and AI strategy , and you're familiar withthe key success factors and common pitfalls
- You understand the importance of Strategy Operations (StratOps)
- Youwill develop the appropriate portfolio based on the data and AI strategy, prioritize it, and manage it.
- In addition to quick wins, you'll also support thelong-term transformation
- You can clearly describe the relationship between business strategy and the portfolio
- You organize successful implementation teams and develop appropriate working methods
- You will support change management for data and AI projects and ensure long-term success
- You will establish appropriate target systems and metrics for data and AI projects
- You have embraced the mindset of "continuous improvement and learning from successes and mistakes"
- Anyone who wants to tackle data- and AI-driven transformation at the decision-making level and create real business value through it
- Anyone with a basic understanding of data and business, as well as an in-depth understanding of at least one of these two areas
- Anyone with (professional) experience working on data projects in companies
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Mastering the future
Develop a data and AI strategy and embed it throughout your organization—with the "AI & Data Strategist" Master Class.
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Experience the benefits of online training from the comfort of your own home. Our online formats meet the highest quality standards and are in no way inferior to face-to-face events in terms of practical relevance. Learn together live online in interactive groups or digitally at a time of your choice.
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