Real Life Usecases of How AI is Changing the World
Jeroen van Steijn joins us to walk through three very different AI use cases: drones on the North Sea, client summaries in healthcare, and personal gift recommendations.
Introduction
In this episode of The Impact of AI Explored, we talk with Jeroen van Steijn about three very different AI use cases: drones on the North Sea, client summaries in healthcare, and personal gift recommendations.
Meet the Guest
Jeroen van Steijn is Lead AI & Data at Delta-N. He has a background in software development, and studied Computer Science and Engineering and Artificial Intelligence at TU Delft. He previously founded Bytecode Digital Agency and now focuses mainly on data, machine learning and generative AI.
Setting the Stage
AI is most interesting when it solves a concrete problem. In this episode, that means safety and cost at sea, workload pressure in healthcare, and better recommendations for millions of users.
Episode Highlights
- Aquafine uses a swarm of drones to measure waves on the North Sea and predict them roughly thirty minutes ahead.
- At Pameijer, AI cuts the work of summarizing client information from hours down to about fifteen minutes of review.
Deep Dive
The key lesson is that successful AI isn't just about a good model. Data, sensors, processes, security, human oversight and user acceptance are just as essential. At Aquafine, the quality of the sensors determines the quality of the prediction. At Pameijer, the professional still has to review the information. Garbage in, garbage out still applies.
Real-Life Stories & Examples
- Eight drones collect data around an offshore vessel to predict waves and directions.
- Pameijer uses AI to summarize information from multiple documents.
- Draw Names reduced customer service emails by roughly 30%.
- Personal gift ideas can take hobbies, interests and recent events into account.
Key Takeaways
- Start with a concrete problem.
- Good data and sensors matter more than an impressive demo.
- Involve users from the very beginning.
- Keep people accountable for review and decisions.
- Use AI for repetitive, time-consuming work.
- Start small, measure quality, then scale up.
Closing Thoughts
In a single episode, we went from drones and windmills to care records and gifts. The applications are very different, but they all come down to understanding information faster, making better decisions, and supporting people. Start small, experiment, and discover where AI adds value in your own organization.
