Unlocking the Potential of Industrial Data Science and Artificial Intelligence in Manufacturing

4 October 2022 (half-day)
5 October 2022 (half-day)
6 October 2022 (half-day)
10.5 hours of live online training

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Overview Agenda Meet the Tutor Who Should Attend? Benefits Book

Masterclass Overview

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.

4 October 2022 (half-day)
5 October 2022 (half-day)
6 October 2022 (half-day)

4 October 2022 (half-day)

Learn about the fundamentals of Industrial Data Science and its applications within manufacturing. Understand the requirements for planning and implementing successful data science projects in your business.

Explore the role of Big Data, Industrial Data Science and Artificial Intelligence and the opportunities they provide for manufacturing companies
Discover the key success factors when planning data science projects
Create a roadmap to build data science teams and develop the required competencies, including an industrial case study from the brewing industry
Join your peers in a group breakout exercise to explore how to identify and build data science capabilities in your business

5 October 2022 (half-day)

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.

Explore the potential of Industry 4.0 and the Digital Factory
Hear industrial case studies from the electronics, chemicals and automotive industries
Discover the fundamental elements of machine learning
Join your peers in a group breakout exercise to discuss what the data landscape looks like in your company and identify areas for improvement

6 October 2022 (half-day)

Evaluate supervised and unsupervised machine learning models. Learn about the different application areas of data science in manufacturing including predictive maintenance, quality and bottleneck forecasts.

Hear industrial case studies from the metal cutting, electronics, steel manufacturing and automotive industries
Learn about the CRISP-DM standard procedure for industrial data science projects
Explore a roadmap for integrating data science in manufacturing companies
Join your peers in a group breakout exercise to identify fields of application of data science in your company

Masterclass Agenda

Day 1 - Tuesday 4 October 2022 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 1: Industrial Data Science – Required Competences

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Session 1 – The Fundamentals of Industrial Data Science

The role of Big Data, (Industrial) Data Science, Machine Learning (ML) and Artificial Intelligence (AI) in an industrial context
Opportunities: Application fields of Industrial Data Science
Challenges: Success factors for planning Industrial Data Science projects

Break: 3.00pm (UK time)/4.00pm (Central Europe time)/10.00am (US Eastern time)

3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time):

Session 2 – Required Competencies for Industrial Data Science Projects

Role distribution in Industrial Data Science project teams
Use Case 1: Brewing – Building domain knowledge (brewing industry)
Solution – Roadmap to build teams and develop the required competencies

4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):

Session 3 – Group Breakout Exercise #1

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
Which competencies are currently available in your company and where do you see potential for improvement?
Presentation of results and discussion of opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

Day 1 - Wednesday 5 October 2022 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 2: Industrial Data Science – Data the New Gold

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Session 4 – Evaluation of Data Maturity

Potentials of Industry 4.0 and Digital Factory
Procedure for assessing data maturity
Use Case 2: Handling cell – retrofit of brownfield equipment (electronics industry)
Use Case 3: Micro algae production – biomass growth prediction (chemicals industry)
Solution – Roadmap to overcome data maturity challenges

Break: 3.00pm (UK time)/4.00pm (Central Europe time)/10.00am (US Eastern time)

3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time):

Session 5 – Tools for Industrial Data Science

Frequently used tools for Industrial Data Science
Machine Learning basics: Supervised and unsupervised learning
Use Case 4: Injector manufacturing – Data mining-based quality prediction (automotive industry)
Solution – Overview of the required tools

4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):

Session 6 – Group Breakout Exercise #2

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
What does the data landscape in your company look like and where do you see potential for improvement?
Presentation of results and discussion of opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

Day 1 - Thursday 6 October 2022 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Section 3: Industrial Data Science – Successfully Organizing Industrial Data Science Projects

2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):

Session 7 – Approach for Industrial Data Science projects

Machine Learning advanced: Evaluation of supervised and unsupervised models
Use Case 5: SMD assembly – Shortening quality control loops (electronics industry)
Use Case 6: Technical cleanliness – residual particle analysis by data mining (metal cutting industry)
Solution – The CRISP-DM standard procedure within Industrial Data Science projects

3.00pm (UK time)/4.00pm (Central Europe time)/10.00am (US Eastern time):

Session 8 – Application Areas of Industrial Data Science

Use Case 7: Quality forecasts – Data mining in sensor data of automated processes (steel manufacturing industry)
Use Case 8: Bottleneck forecasts – real-time capable bottleneck forecasting in automotive industry
Solution – Roadmap for integrating Data Science in industrial companies

Break: 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):

Session 9 – Group Breakout Exercise #3

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
Which potential fields of application of Industrial Data Science can you see within your company?
Presentation of results and discussion of opportunities and challenges

End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US Eastern time)

Download the Masterclass PDF

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Meet the Tutor

Professor Jochen Deuse

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.

Accelerate your digital transformation:

Join interactive discussions in a peer-to-peer learning environment during 10.5 hours of live online training

Benchmark your company’s data maturity and readiness levels for Industrial Data Science

Benefit from 8 real-world and aspirational industry case studies

Discover the transformative potential of Industrial Data Science and learn how it can be applied to drive improvements in manufacturing businesses

Gain insights from peers across different manufacturing industries during the guided group breakout exercises

Develop a roadmap to build the required competencies and integrate Industrial Data Science approaches within your company

Benefits to you of attending this Industrial Data Science Live Online Masterclass

Fundamentals of Data Science and A.I. in Manufacturing
Data Science Tools, Applications and Manufacturing Case Studies

Fundamentals of Data Science and A.I. in Manufacturing

* 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

Data Science Tools, Applications and Manufacturing Case Studies

* Explore 8 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

Who should attend?

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.

Learn, network and collaborate with senior executives from leading manufacturers

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