In our journey to digitalize a pharmaceutical factory, we encountered the challenge of moving from paper-based systems to AI-driven digital solutions. In this session you will find practical examples, demonstrating how AI-driven solutions can revolutionize pharmaceutical manufacturing by improving efficiency, reducing human error, and enabling a data-driven approach to operations. We will delve into automated data gathering, demonstrating how critical metrics like Overall Equipment Effectiveness (OEE) can be enhanced using AI-powered analytics.
We will also highlight the integration of hardware solutions, showcasing how our systems interface with machines and production equipment to enable real-time monitoring and optimization. Finally, we’ll touch on the future capabilities of our platform, including predictive analytics, AI-driven decision-making, and advanced automation.
We will also highlight the integration of hardware solutions, showcasing how our systems interface with machines and production equipment to enable real-time monitoring and optimization. Finally, we’ll touch on the future capabilities of our platform, including predictive analytics, AI-driven decision-making, and advanced automation.
Kyriakos Paraschopoulos
Vimachem
Kyriakos is an accomplished Software Engineering Manager with a strong background as an engineer, specializing in leading AI and machine learning initiatives. Throughout Kyriakos's career, they have led teams in the development and deployment of cutting-edge AI solutions and implementing scalable software systems. With a deep technical foundation and a passion for solving complex problems, Kyriakos has successfully bridged the gap between engineering and business, delivering impactful AI-driven insights. Kyriakos is passionate about mentoring future engineering leaders and fostering a collaborative environment that empowers teams to achieve business objectives through technology.