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 Dr. Julian Schallow, 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. This course is run in association with the Institute of Production Systems (IPS), Technical University Dortmund.
This training course has been developed for individuals and teams within manufacturing, engineering and operations. 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.
You will also explore the different applications of data science in manufacturing with 9 case studies from industries including electronics, chemicals, automotive, metal cutting, brewing and steel manufacturing.
#1: Injector manufacturing – data mining-based quality prediction
#2: Handling cell – retrofit of brownfield equipment
#3: Micro algae production – bio-mass growth prediction
#4: Data mining in hot rolling mill for advanced process control
#5: SMD Assembly – Shortening quality control loops
#6: Quality prediction in the assembly process
#7: Quality prediction for door lock manufacturing
#8: Technical cleanliness – residual particle analysis by data mining
#9: Brewing – building domain knowledge
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)
Dr.-Ing. Dipl. Wirt.-Ing. Julian Schallow is Managing Partner of IPS Engineers GmbH, an innovative consulting and software service company with a focus on Industrial IoT and Data Science. In parallel, he coordinates the industrial activities of the Institute for Research and Transfer (RIF e.V.) based in Dortmund, Germany, with the aim of transferring knowledge from research to industrial practice.
Watch the Video 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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