AI in Action: Computer Vision, AI Agents, and Rapid App Development with Generative A" - Eyad Elyan, RGU
Description changed:
Aberdeen Python User Group - open to all
This talk will provide a comprehensive overview of the AI landscape and the latest trending topics, with a focus on real-world applications of computer vision, particularly in the Oil and Gas sector. We’ll then explore Agentic AI, a cutting-edge concept that extends AI beyond automation, enabling more autonomous and intelligent decision-making systems. Through examples, using Python, we’ll illustrate the power and potential of Agentic AI in action. Finally, in a live demo, we’ll showcase how generative AI can be used with just a few prompts to rapidly build and deploy a functional application—highlighting its ability to accelerate development like never before. Whether you're a developer, data scientist, or AI enthusiast, I hope that this session will provide valuable insights and practical takeaways.
Brief Bio:
Eyad is a Professor of Machine Learning and Computer Vision at Robert Gordon University, specialising in applied AI solutions for real-world challenges. His work leverages deep learning and generative AI to drive innovations across different industries (e.g. Energy, construction, health). He works closely with industry leaders, and focuses on translating cutting-edge AI research into scalable tools that enhance efficiency, accuracy, and decision-making across sectors. More about this work with the industry, and his research can be found at his staff page at https://rgu-repository.worktribe.com/person/74625/eyad-elyan
