Marcus Glowasz

In the era of big data and the ever-increasing flow of information, the use of analytics is now widespread across industries, with data analytics mainly used to help enterprises make better decisions. Project Managers are required to make critical project decisions daily but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring therefore more than ever a data-informed approach to decision-making in the area of project delivery and management. To take advantage of the previously untapped capabilities of Data Analytics and Artificial Intelligence for the project management practice, project professionals and decision-makers need to become more data-aware and data literate, to enable more rational and sound decision-making in projects, based on both quantitative and qualitative information that is transformed into knowledge assets.

In an age of digital transformation, data-driven organizations, and last but not least, ChatGPT, the discussion about the use of artificial intelligence in project management is in full swing. Various scenarios and topics like project chatbots, automated reporting, and data collection for better and more informed project decisions, are frequently debated. A common immediate question is how long it takes until those scenarios become reality. One thing to remember though is that people remain accountable for their projects and decisions made as part of projects. Hence, one important question is how AI can help project management professionals become better in their roles and human-led capabilities by engaging with data-driven methods. You’ll learn about a different perspective toward AI technology in project management and the steps one should take not only to unlock the capabilities of AI but primarily to improve and advance the capabilities of project professionals.

Today's world is rapidly changing with often fast-changing messages, leading to high complexity and an increasing change frequency. As a result, project and change management practices are forced to move along with today’s evolving technology and modern practices and need to embrace new ways that enhance our natural capabilities to deliver change and become fit for the future. But while technology can enhance our capabilities, it requires more than ever people to enable such future. It requires a new mindset about how we collaborate, how we deal with failure, how we learn, and how we adapt to disruption and change. It calls for new leadership skills in all of us to foster a culture of transparency, authenticity, and accountability, to enable effective growth and evolution.