What can Generative AI do, for example:
• Create a summary, (re)write and translate texts.
• Create an information flyer.
• Generate software code.
• Write a film script or opinion piece, but also, of course, answer questions.

In addition to advantages, there are also disadvantages to this new technology. In particular, the datasets used, the trainings models, business interests, and ethical aspects will play a major role in further development and applications. However, many will have experienced the simplicity and power of this technology. If we use this technology properly, we can better solve problems such as labour market shortages, low productivity growth, the energy transition, and fake news.

In this academy solution, we explore the foundations of Generative AI in a non-technical way. You ask a question (text that you enter and is also called a ‘prompt’) and receive an answer. Generative AI interprets your prompt and creates an appropriate response. This is not only in terms of content (a kind of search result such as Google Search) but also in the form of generated composite texts. Generative AI predicts, as it were, the next most likely word in a sentence. It uses (public) texts and websites to train and produce answers to questions. However, it is only sometimes certain or clear to the user whether the facts the AI bases its answers on are correct. It is better to use data-driven organizing for this. This concept ensures a shared, assured, and accessible reality for reliable, rich data.

• Introduction, introduction
• Historical and social context
• What is data-driven generative AI?
• Why (attention) for this theme?
• What can and can’t you do with it?
• Practical examples, cases
• What does this mean for your business model/function/organization
• How do you start a transformation?
• Questions, dialogue, statements

This academy solution is especially important for professionals involved in the design and development of new organizations and IT systems that better fit new social contexts, ecosystems, and data technologies and take into account challenges in the areas of: sustainability, digitalization, decentralization, scarce talents, productivity growth, privacy, power of tech companies, cybersecurity and (digital) waste.

In general, this academy solution is mainly aimed at professionals (strategists, innovators, policymakers, business developers, project leaders, organizational consultants, IT architects, and community managers) who must be able to provide answers to questions from management, customers, suppliers and other stakeholder about future-driven organizing, strategy, new business and operating models, data-driven organizing, disruptive technologies, digital transformation in general, and the development and use of generative AI in particular and (helping to) set up projects and programs for this.

The result of this academy solution is that the participant can answer questions about the usefulness and necessity of data-driven organizing in relation to Generative AI for his organization, customers, and network and can develop a use case.

t.b.a.