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

23 May 2023 (half-day)
24 May 2023 (half-day)
25 May 2023 (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.

23 May 2023 (half-day)
24 May 2023 (half-day)
25 May 2023 (half-day)

23 May 2023 (half-day)

Learn about the fundamentals of Industrial Data Science and its different applications within manufacturing. Evaluate supervised and unsupervised machine learning models.

Explore the role of Big Data, Industrial Data Science, Machine Learning and Artificial Intelligence and the opportunities they provide for manufacturing companies
Learn about the CRISP-DM standard procedure for managing industrial data science projects
Hear a case study from the automotive industry on the application of data science for advanced quality prediction to remove bottlenecks
Join your peers in a group breakout exercise to identify potential fields of application of data science in your company

24 May 2023 (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.

Benefit from 5 different data science use cases from industries including electronics, chemicals and steel manufacturing
Discover the different levels of data maturity and identify what stage your company is at on this maturity model
Learn about data engineering and transformation techniques and their critical role in the success of industrial data science projects
Join your peers in a group breakout exercise to benchmark your company’s data maturity levels and identify the steps for improvement

25 May 2023 (half-day)

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.

Understand the essential role of domain knowledge in Industrial Data Science projects and hear 3 more manufacturing use cases from different industries
Learn about effective role distribution in Industrial Data Science project teams
Explore a roadmap for integrating Industrial Data Science into companies and evaluate the benefits of different deployment models
Join your peers in a group breakout exercise to discuss how to build the required data science capabilities and what deployment strategy best fits your business

"The presentations had excellent content. The real-world experience and predictions of where the industry is going, as well as how these tools are actually used today, was most useful." -- Smart Factory Manager, Greene Tweed

"Excellent overview of what exists today and its application within the manufacturing industry." -- Manufacturing Director, Electrolux

“Good balance of understanding the landscape of what is possible/cutting edge and discussions on the current state of businesses with opportunities to move forward.” -- Global Director Quality, SMART Factory, Kohler Co.

This course will enable you to unlock the potential of industrial data science and A.I.

Masterclass Agenda

Day 1 - Tuesday 23 May 2023 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Day 1: Successfully Organizing Industrial Data Science Use Cases

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

Introduction to IPS and course participants

2.30pm (UK time)/3.30pm (Central Europe time)/9.30am (US Eastern time):

Session 1 – Introducing Artificial Intelligence and 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

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

Session 2 – Fundamentals of Industrial Data Science

CRISP-DM – A standard procedure within Industrial Data Science projects
Fundamentals of supervised and unsupervised models

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):

Session 3 – Structuring Industrial Data Science Use Cases

Predicting final product quality with data mining
Use Case 1: Injector manufacturing

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

Session 4 – Group Breakout Exercise #1

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
What use cases…
- …do you face in manufacturing at your company?
- …how would you translate them into learning problems?
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 2 - Wednesday 24 May 2023 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Day 2: Data Engineering for Industrial Data Science Use Cases

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

Session 5 – Ensuring Data Maturity

Potentials of Industry 4.0 and Digital Factory
Procedure for assessing Data Maturity

2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):

Session 6 – Utilizing Data Science Tools

Use Case 2: Handling cell – retrofit of brownfield equipment
Use Case 3: Micro algae production – bio mass growth prediction

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):

Session 7 – Applying Data Transformation

Use Case 4: Data mining in hot rolling mill for advanced process control
Use Case 5: SMD Assembly – Shortening quality control loops
Use Case 6: Quality prediction in the assembly process

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

Session 8 – Group Breakout Exercise #2

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
Related to your use case…
- …which level of data maturity would you expect?
- …what ETL-homework do you have to do?
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 3 - Thursday 25 May 2023 (half-day)
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Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am (US Eastern time)

Day 3: Competencies for Industrial Data Science Use Cases

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

Session 9 – Using Domain Knowledge in Industrial Data Science Use Cases

Use Case 7: Quality prediction for door lock manufacturing
Use Case 8: Technical cleanliness – residual particle analysis by data mining

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

Session 10 – Acquiring Interdisciplinary Competencies

Role distribution in Industrial Data Science project teams
Use Case 9: Brewing – building domain knowledge

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):

Session 11 – Roadmap for Integrating Industrial Data Science

Deployment Strategies
Roadmap for integrating Industrial Data Science into your company

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

Session 12 – Group Breakout Exercise #3

Under the guidance of the Masterclass Tutor, delegates will be divided into working groups to identify and discuss:
Related to your company…
- … which competencies are available in order to realize your use cases?
- … which deployment strategy do you see as the most promising?
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)

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"I enjoyed the overview of what is happening in industry and the breakout sessions to talk through ideas from a varied viewpoint. The format worked very well and was easy to accommodate." -- Engineering Lead, Abbott

“I'm very happy with the masterclass. I will definitely apply in practice the concepts covered and the templates delivered during the masterclass.” -- Digital Transformation Senior Engineer, Molymet

"Good summary of current status and trends – the breakouts were especially good to discuss other companies progress and challenges. To get the benefits, companies should start planning and implementation ASAP." -- Operations Director, Detection Technology

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 9 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 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

"Great job on organisation, presentations and selection of participants - I would gladly join again." -- Global Head of Quality & Continuous Improvement, ABB

“Enjoyed the course and content. I found the structure of the training and the take-away planning tools extremely useful.” -- Operations Industrial Manager, Safran

"Nice job. Great overview and strategies to progress the initiatives I'm personally tackling." -- Launch Manager, Neapco

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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