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New chapter, new paths – the merger to form the HPI d-school

Since the beginning of 2023, we have been in transformation mode: We have dissolved HPI Academy GmbH and integrated it into the Professional Development division of HPI d–school: An important milestone has been reached. This fusion not only means a structural change, but also affects all levels of our actions. A new management team, an expanded portfolio of services, optimized processes and, above all, increased collaboration between Academic Programs, Professional Development and Design Thinking Research are just some of the visible changes.

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  • Innovation & Transformation

Interview with Markus Güntert on the topic: What happens after Design Thinking

Markus is a specialist in corporate innovation and is considered our expert for product leadership and agile software development. He completed his academic career at HPI and then spent six years at a global strategy consultancy. During this time, he made significant contributions to the development and realization of digital business models in various innovation labs. Markus is not only passionate about leading product teams, but also has a special interest in organizational development, focusing on the human factor for a sustainable corporate culture. Markus, what does your typical working day look like? Markus: In projects with my clients, I often focus on the follow-up processes of Design Thinking. The ideas that emerge from a design thinking workshop are full of potential, but still need refinement to become realizable. This is where I come in: I support teams in progressing from the initial idea on PowerPoint to a functioning Minimum Viable Product (MVP). This is about: Concretising – developing a comprehensive product strategy from an initial idea Validate – efficiently test the idea without making extensive investments Implement – turning the idea into an MVP while maintaining a balance between effort and quality What is the most important insight you have gained so far? Markus: Although design thinking often delivers promising results, many ideas end up being shelved too early. The challenge of integrating design thinking into day-to-day business often proves to be too great: While design thinkers strive for disruption and are willing to learn from mistakes, others in the organization tend to meet change with scepticism and quickly become critics. It is not uncommon for good ideas to be nipped in the bud. It is therefore often more important to build bridges between the different cultures within an organization than to focus exclusively on the idea itself. What advice would you like to give us? Markus: You don’t necessarily need an official leadership role to act in a leadership position. Especially after Design Thinking workshops, a management vacuum often arises in which responsibilities become unclear. If no one then takes the initiative and actively drives the process forward, the project quickly loses momentum. I encourage everyone to actively look out for such leadership gaps and fill them with commitment!

  • News
  • For Companies
  • Innovation & Transformation

Interview with Prof. Dr. Gerard de Melo on the topic: AI in the company

The use of artificial intelligence (AI) represents an epochal change: AI has the potential to revolutionise almost every mental and, in the medium term, many physical activities, including management decisions, by enabling huge amounts of data and simulation-based forecasts. In this interview, Prof. Dr. Gerard de Melo (Department of Artificial Intelligence and Intelligent Systems at the Hasso Plattner Institute) discusses how artificial intelligence (AI) will transform companies. How will AI change companies? De Melo: Germany’s prosperity to date is due in no small part to the country’s engineering skills and inventive spirit. With the rapid progress of AI, we are now entering a phase of epochal change in which we will see who will lead the way in the coming decades. There is hardly any intellectual activity that cannot be fundamentally changed by AI. Management decisions, for example, can also be put on a much more solid footing by incorporating huge amounts of data and AI-supported simulations. In the medium term, this will also include many physical activities, such as logistics and production. How can the use of AI generate business value? De Melo: An AI can be cloned tens of thousands of times at the touch of a button and doesn’t need to sleep to do its work. It can search through an entire archive for relevant information within a short space of time. However, the aim should not be to replace staff with AI, but rather to develop entirely new product categories and business models that fully utilise these new possibilities. Of course, increased productivity is also possible in existing business processes if AI can be a useful tool in everyday working life. With AI, we can brainstorm better, analyse data and often completely automate boring routine tasks. Why do companies need AI strategies? De Melo: The example of the internet shows us that even long-standing, traditional companies can be on the brink of collapse if they do not pay enough attention to new developments. In today’s world, it is by no means enough to simply build up AI expertise in individual departments. Rather, all processes in the company and, in the medium term, the entire corporate strategy should be rethought, taking into account the many new possibilities offered by AI. Of course, the legal and ethical framework conditions must also be kept in mind, such as the requirements of the EU AI Regulation. Is it enough if I introduce ChatGPT in the company? De Melo: Even though ChatGPT is on everyone’s lips and indeed offers a wide range of possible applications, this is only one of many thousands of possibilities. There is a very wide range of different solutions. We often need AI systems that have been customised to internal company data and processes and are equipped with industry-specific knowledge. In many application contexts, a chat interface is a completely wrong choice, so AI should be used in a completely different form. In addition, there are often special requirements for the reliability, speed and transparency of automated decisions. Finally, these must be evaluated in conjunction with the relevant framework conditions, such as the available AI resources, in order to design a suitable AI solution.

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  • Workshop
  • Design Thinking
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Measuring what matters: The impact of Design Thinking

Online ·

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  • Design Thinking

Mastering Design Thinking: Method Deep Dive

Potsdam ·

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  • Design Thinking

Design Thinking Foundations: Mindset & Process

Potsdam ·

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Interview on the “AI & Design Thinking – The Creative Alliance” workshop

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  • Workshop
  • Design Thinking
  • IT & Digitalization

AI and Design Thinking – The Creative Alliance

Potsdam ·

  • Workshop
  • Innovation & Transformation

AI Essentials for Decision Makers – Navigating the future of Business

Potsdam ·