PM-Professional Switzerland - Programs and Projects for Innovation

Img. source pixaby   In an era where the term "Industry 4.0" reverberates across boardrooms and strategic plans, it's essential to delve deeper into its essence rather than merely scratching the surface. Companies proudly boast of their industry 4.0 initiatives, often limited to digitizing paperwork or implementing isolated digital tools. However, the true revolution lies beyond these incremental steps—it lies in seamlessly connecting disparate functions to elevate productivity, efficiency, and innovation. At its core, Industry 4.0 transcends the digitalization of paperwork; it's about harnessing interconnectedness to revolutionize how businesses operate. The real transformation emerges when sales, supply chain, and production machines converge into an integrated ecosystem, creating a symphony of data that fuels informed decision-making. Imagine a scenario where every aspect of the production cycle is intertwined, where data flows seamlessly from customer demand to pr...

  Managing requirements throughout the lifecycle of a project is critical to ensuring that the final product or service meets the expectations of the customer. Here are best practices for each stage of requirements management to help assure customer satisfaction: Requirements Elicitation : Stakeholder Involvement : Involve all relevant stakeholders, including customers, end-users, business analysts, and subject matter experts, to gather a comprehensive set of requirements. Use Multiple Techniques : Utilize various techniques such as interviews, surveys, workshops, and observation to capture requirements from different perspectives. Document Thoroughly : Create clear and concise documentation to record requirements, including functional and non-functional requirements. Requirements Analysis : Prioritize Requirements : Use techniques like MoSCoW (Must have, Should have, Could have, Won't have) to prioritize requirements based on their importance and impact. Validate Requirements : En...

[Image by  Alexa  from  Pixabay ] When encountering resistance from an employee who shows no interest and only offers excuses without objective arguments, it's important to approach the situation with empathy, patience, and a focus on understanding their perspective. Here are some steps you can take as a leader: Active listening : Take the time to actively listen to the employee's concerns and objections. Create a safe space where they feel comfortable expressing their thoughts and emotions. Be attentive and show genuine interest in understanding their perspective. Seek to understand the underlying reasons : Ask open-ended questions to dig deeper into their resistance. Try to uncover any underlying fears, insecurities, or personal circumstances that may be contributing to their resistance. By understanding their concerns, you can address them more effectively. Provide clear information and rationale : Share the reasons behind the change program in a transparent and clear ...

  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...

Today's businesses and people have a very high interest in A.I. and how is progressing research in this field. A big noise is made by OpenAI and one of its applications chatGPT, but what about others. Hence, I wanted to test it and ask this question, here is the answer.