Unlocking the Potential of Industrial Data Science and Artificial Intelligence in Manufacturing
24 May 2023 (half-day)
25 May 2023 (half-day)
10.5 hours of live online training
Industrial Data Science, Big Data and Artificial Intelligence (A.I.) are important trends and technologies in the context of Industry 4.0. In this course led by Professor Jochen Deuse, you will explore their transformative potential in manufacturing and learn how industrial data science can be successfully applied to deliver significant improvements to your business.
Delegates attending this course do not require any previous knowledge of data science and A.I. techniques – these concepts will be introduced during the masterclass with numerous applications and industrial case studies from manufacturing presented.
Learn about the fundamentals of Industrial Data Science and its different applications within manufacturing. Evaluate supervised and unsupervised machine learning models.
Understand how to assess data maturity levels in your business and overcome the challenges. Learn about the key tools used for industrial data science and A.I. in manufacturing.
Learn about the different strategies to integrate and manage Industrial Data Science in your company. Identify the key interdisciplinary competencies required for successful data science projects.
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
2.30pm (UK time)/3.30pm (Central Europe time)/9.30am (US Eastern time):
3.00pm (UK time)/4.00pm (Central Europe time)/10.00am (US Eastern time):
Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)
4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):
Break: 3.15pm (UK time)/4.15pm (Central Europe time)/10.15am (US Eastern time)
3.45pm (UK time)/4.45pm (Central Europe time)/10.45am (US Eastern time):
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
3.00pm (UK time)/4.00pm (Central Europe time)/10.00am (US Eastern time):
Break: 3.45pm (UK time)/4.45pm (Central Europe time)/10.45am (US Eastern time)
4.15pm (UK time)/5.15pm (Central Europe time)/11.15am (US Eastern time):
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)
Professor Dr.-Ing. Jochen Deuse holds a dual appointment as Professor and Head of the Institute of Production Systems (IPS) at TU Dortmund University, Germany, and Professor and Director of the Centre for Advanced Manufacturing at the University of Technology Sydney (UTS), Australia. He has almost 30 years of experience in manufacturing which ranges from Automation Technology and Robotics to Industrial Engineering and Data Science.
Read More* Learn the true meaning of the terms Big Data, (Industrial) Data Science and Artificial Intelligence (AI)
* Discover the capabilities of Industrial Data Science and the key requirements and competencies to apply it in your company
* Explore the potential of Industry 4.0 and Digital Factory and the role that Industrial Data Science plays
* Learn how to effectively manage your data science projects and the critical factors for success
* Identify solutions to overcome data maturity challenges in your business
* Explore 9 separate case studies of different applications in manufacturing including from the electronics, chemicals, automotive, metal cutting, brewing and steel industries
* Gain insights into typical Industrial Data Science applications in manufacturing
* Learn which Data Science methods exists and when to use them
* Discover the fundamentals of machine learning, including supervised and unsupervised learning models
* Evaluate useful software tools for Industrial Data Science applications in your business
This training course is developed for business and technology leaders, directors, strategic decision-makers and managers within manufacturing, engineering and operations. It provides an introductory overview of the transformative potential of Industrial Data Science and its applications within manufacturing businesses.
Delegates attending this course do not require any previous knowledge of Data Science and Artificial Intelligence techniques – these concepts will be introduced during the masterclass with numerous applications and industrial case studies from manufacturing presented.
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