PM-Professional Switzerland - Programs and Projects for Innovation

  Source: "artificially made by AI language model created by Microsoft": Artificial intelligence (AI) is one of the most exciting and influential fields of technology today. It can potentially transform many aspects of our lives, from health care and education to entertainment and business. However, AI is not a magic bullet that can solve all our problems and challenges. In fact, AI has its own limitations and risks that need to be carefully considered and addressed. One of the limitations of AI is that it is often dependent on data. Data is the fuel that powers AI systems, enabling them to learn from patterns and make predictions. However, data can also be biased, incomplete, inaccurate, or outdated, which can affect the performance and reliability of AI systems. For example, if an AI system is trained on data that reflects historical or social biases, such as racism or sexism, it may end up reproducing or amplifying those biases in its decisions or recommendations. Similarl...

Often we come across products that are difficult to use, which provide many features, more than what we need, but are still complicated to use. This situation mostly happens when engineers drive strategy in the company rather than people from marketing and sales. The last ones know the market and what makes value for the customers. We can take the example of the endless discussion between Android and iOS. The first one leaves the user with the choice to "twist" the system, sometimes changing settings which are hard to understand, while iOS focus on easy and ready use and does not leave too much freedom. That means it makes life easy for the one who wants a mobile phone that works without too much thinking. The question is how to setup the processes and the responsibilities to maximize the profit for technology "driven" companies. A simple answer would sound like this: R&D is responsible for driving innovation into the products under the "business cases...