Monday Seminar - A Day in the Life of a Data Scientist at Siemens Energy

To register for this event, visit: datascience.charlotte.edu/news-events/upcoming-events/

Siemens Energy is a global leader in sustainable and efficient energy solutions. The company uses data science to improve its operations, processes, and strategies. This presentation will show how data scientists work at Siemens Energy, and how they use data science for different purposes. Some of these are analyzing trends and technologies, developing advanced analytics products and solutions, solving operational problems like predictive maintenance, supply chain optimization, and energy consumption reduction, and creating a smarter and more sustainable energy future. The presentation will also explain how Siemens Energy supports a strong data science community internally. The company encourages knowledge exchange, and collaborative problem-solving, to help data scientists develop their skills, share best practices, and explore new possibilities. Attendees will learn how data science is not just about data but about making better decisions for Siemens Energy. Join us to see how data science shapes our daily work and success.

Presenter: Matt Bryan, Head of Enterprise Data & Advanced Analytics in Manufacturing & Engineering

Bio: A seasoned leader with over 20 years of experience in manufacturing and engineering, Matthew Bryan spearheads Enterprise Data & Advanced Analytics at Siemens Energy. He bridges the traditional and the innovative, leveraging cutting-edge technologies like Generative AI and digital twins to unlock data-driven insights that transform product development. Throughout his tenure at Siemens Energy, Mr. Bryan has championed digital transformation initiatives. This includes upskilling engineers in Data Science and AI, as well as actively exploring Generative AI for product design innovation. His leadership is instrumental in driving Siemens Energy's data-driven future and revolutionizing the manufacturing and engineering landscape.