Most (~80%) data & AI projects fail. And they fail right from the start – because they are implemented for the wrong reasons: because of FOMO, because of the AI hype, because of misbelief in technology. They fail due to a lack of user acceptance, a lack of data (quality) and a lack of business value.

The antidote is data & AI strategy. A data & AI strategy guides your data science team through the data swamps and AI jungles and leads your data & AI projects towards the high value, low risk applications. It aligns your data & AI initiatives with the business initiatives, integrates data & AI into the business model and connects data & AI experts with the business domain experts. It ensures mutual understanding and acceptance and thus accelerates your team and your company. It helps you do less, better.

However, most companies are doing it wrong: a data & AI strategy is neither a superficial PowerPoint presentation nor a detailed plan for the next five years that will take you months to develop. What you need is a Lean Data & AI Strategy. A Lean Data & AI Strategy defines the goals, localises your current position and outlines the best roadmap to the results. That way, everyone knows what needs to be done, how it needs to be done and why it needs to be done.

In this workshop, you will learn how to develop a Lean Data & AI strategy in one day using concrete practical examples and interactive group exercises. We will use the free and freely available Miroverse Lean Data & AI Strategy template. You will get to know numerous useful visual collaboration tools such as the Analytics & AI Maturity and Data Monetization Canvas. And you’ll learn what makes a good Lean Data & AI Strategy and how it helps your Data & AI team collaborate better with the business and achieve more in less time.