How artificial intelligence will transform decision-making
Philip Meissner and Yusuke Narita show how AI will change decision-making and what effects this will have on competitiveness.
Philip Meissner and Yusuke Narita show how AI will change decision-making and what effects this will have on competitiveness.
Davide Sola offers strategies that entrepreneurs can adopt to secure funding in this evolving economic environment, all while becoming more resource-efficient in the face of constraints in funding availability.
Two researchers define a specific type of business model — the impact business model — and what to keep in mind when developing it & measuring the impact.
What do great careers have in common? Business coaching that made the difference. Susanne Kortendick shares her advice on finding the right coach.
To delve deeper into sustainable innovation, we turned to Robert Sheldon, a professor of entrepreneurship at ESCP.
With some organisations downplaying their sustainability initiatives to avoid greenwashing, ESCP’s Julien Schmitt explains its consequences for business and society.
Amidst the stark warnings of the risks of AI, we spoke with Assistant Professor Howard Zhong to explore effective solutions, such as AI regulation.
The student film The Spectacle of Culture reminds us of how, in a world of mass tourism, the internet, and life lived through social media and Artificial Intelligence, “culture” can come to mean something artificial and generic.
A team of researchers explores four major transformative processes and their benefits and downsides for employees’ performance, skills, career advancement and well-being in the future of work.
When it comes to sustainability, product innovation will only get you so far. It is time to rethink our business models.
With the generative AI revolution, how can managers best approach this new technology that will change the way we work? Louis-David Benyayer this topic in his Executive Education white paper.
Despite their undeniable success, LLMs are not without their problems and limitations. Gabriel Scali looks beyond LLMs to what is next for AI.
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