Expert Talks
As a speaker, I frequently talk about the real-world impact of AI, automation, and the evolving nature of work. I focus on making complex developments accessible and relevant to decision-makers. My goal is to help organizations understand and prepare for the opportunities and challenges ahead. Below is a selection of expert talks I regularly give. Feel free to reach out for more details.
The human edge: Rediscovering work after the AI revolution
In this talk, I examine where humans may — or may not — remain irreplaceable in an increasingly AI-driven world. While AI excels at automating data-driven tasks, I caution that overreliance on it can erode our capacity to question, reflect, and make nuanced judgments. To preserve the human edge, society and organizations must actively foster critical engagement with AI and reimagine work as a partnership that enhances, rather than diminishes, human intellect and ethics.
In this talk, I explore how Generative AI is becoming a powerful assistant in both our personal and professional lives, enhancing tasks from grocery shopping and writing to coding and creative work. While GenAI can significantly boost productivity, its limitations must not be overlooked. To use AI meaningfully, we must remain critically engaged while navigating a landscape that is evolving at an exponential pace.
AI and the future of the logistics industry
In this talk, I explore how AI is transforming the logistics sector through technologies like predictive analytics, autonomous systems, digital twins, and generative AI. While the advancements are exponential and promise significant efficiency gains, I stress that AI is not a magic bullet. To responsibly harness AI’s potential, organizations must stay problem-oriented, remain critically informed, and ensure that human oversight continues to shape its use.
Process mining, AI, and the path to automated
process improvement
In this talk, I explore how process mining and AI together pave the way toward automated process improvement in organizations. By extracting insights from real execution data, AI can identify inefficiencies, while generative AI can propose innovative solutions that can be tested safely using digital twins. To ensure these advancements lead to meaningful impact, we must pair automation with critical human oversight and domain expertise.