AI Workflow

AI workflows are increasingly investigated to streamline complex tasks across diverse fields, aiming to improve efficiency, accuracy, and user experience. Current research focuses on integrating large language models and other deep learning architectures into these workflows, particularly for tasks involving image processing, process mining, and autonomous system optimization. These advancements are impacting various sectors, from video production and cybersecurity to healthcare and archaeology, by automating data analysis, improving decision-making processes, and enabling more efficient resource allocation. The emphasis is shifting towards human-centered design, prioritizing intuitive interfaces and explainable AI to ensure effective collaboration between humans and AI systems.