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Live Online Masterclasses
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
Book Now
IN ASSOCIATION WITH: INSTITUTE OF PRODUCTION SYSTEMS, TECHNICAL UNIVERSITY
DORTMUND
* « Industry 4.0 Strategy: Implementing a Successful Industry 4.0 Roadmap for a
Sustainable Digital Transformation
* Digital Supply Chain Transformation: Enabling Supply Chain 4.0 Innovations to
become Game Changers for your Business »
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)
Click to expand
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)
Click to expand
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)
Click to expand
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)
DOWNLOAD THE MASTERCLASS PDF
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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.
Read More
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.
Jochen is a scientific advisor to world class manufacturing companies and holds
numerous honorary positions in scientific and industrial associations. During
his career in industry, Jochen held senior management positions in the Bosch
Group’s Automotive Electronics Division in Reutlingen, Germany and in Melbourne,
Australia.
Jochen graduated in Mechanical Engineering (Dipl.-Ing.) at the University of
Dortmund and he received his Doctor of Engineering (Dr.-Ing.) from RWTH Aachen
University, Germany, while working as a research fellow at the Laboratory for
Machine Tools and Production Engineering (WZL).
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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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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