In this two-day training, you will learn how to develop and implement a robust data and AI strategy within your organization. You will go through the entire process: from formulating a strategic vision and core principles to engaging stakeholders, executing a proof of concept, and integrating generative AI tools like ChatGPT into your business processes. Through hands-on workshops, you will translate theory directly into a concrete implementation plan tailored to your organization.

What you will learn

• The core principles of data and AI strategy and how to align them with business objectives.
• Developing a roadmap for data and AI adoption in your organization.
• Applying the CRISP-DM methodology as a framework for data and AI implementation.
• Identifying, engaging, and bringing stakeholders on board with the data and AI strategy.
• Determining insights and translating them into concrete next steps: from proof of concept to prototype to MVP.
• Integrating AI tools such as ChatGPT and generative AI into business processes.
• Drafting a practical implementation plan for generative AI in your organization.

Content (overview of the program)

Day 1 – Fundamentals, Methodology & Stakeholder Engagement

Part 1 – Introduction to data and AI strategy

• What is a data and AI strategy, why is it essential, and what does the strategic landscape look like?

Part 2 – Creating core principles

• Formulating vision, objectives, and principles as the foundation of your strategy.

Part 3 – Developing a roadmap

• From strategic vision to a concrete, phased implementation plan.

Part 4 – Hands-on workshop: strategy in practice

• Develop your own strategy based on the methodologies learned.

Part 5 – First steps in implementation (CRISP-DM)

• Apply the CRISP-DM framework as a guide for data and AI projects.

Part 6 – Engaging stakeholders & establishing insights

• Stakeholder analysis, building support, and translating insights into action.

Part 7 – From proof of concept to MVP

• Planning for the next steps: proof of concept, prototype, and minimum viable product.

Part 8 – Hands-on workshop: implementation in practice

• Develop your own implementation roadmap with concrete next steps.

Day 2 – AI tools, Generative AI & Implementation plan

Part 9 – Introduction to AI tools in business

• Overview of relevant AI tools and how organizations deploy them strategically.

Part 10 – Hands-on workshop with ChatGPT

• Get hands-on with ChatGPT for strategic and operational applications.

Part 11 – Integrating generative AI into your organization

• Deep dive into the possibilities, opportunities, and considerations of generative AI in business contexts.

Part 12 – Developing an implementation plan

• Draft a concrete and presentable plan for integrating AI into your organization.

Part 13 – Next steps & Q&A

• Personal action items, follow-up steps, and answering open questions.

• Managers, executives, and strategic advisors looking to implement AI within their organization.
• Data and AI professionals aiming to take on strategic responsibility.
• Business leaders who want to gain control over data and AI implementation and the associated stakeholder dynamics.
• Anyone looking to develop a data or AI strategy without needing to dive deep into the technical details.

Prerequisites

• No technical background required.
• Basic familiarity with data or AI concepts is helpful but not necessary.
• Some experience with ChatGPT or other AI tools is a plus.