Best use of Data Science/AI for Industry 4.0

The fourth Industrial Revolution or Industry 4.0 is the transformation of manufacturing Industry through digitisation, the Internet of Things and data analytics and machine learning. Examples of transformation in Industry 4.0 are robotics, 3D printing, connected machines and devices, optimised supply chains, autonomous equipment.

 Entry Criteria

Entries for the award of the Best use of Data Science/AI for Industry 4.0 of the year must be self-nominated. The nominee can be an individual or team of people working together on the solution. Entries should explain the use of Data Science/AI by the nominee that showcase the positive impact for their industry/business in driving the Industry 4.0 agenda.

Any innovative products/solutions must have been developed and used as part of a live Data Science/AI implementation in industry/business. The solutions/products described in the entry must have been developed within the past 12-18 months.

Research projects will be excluded from this category but are welcome in their specific category in this competition.


Scoring (out of 100 points):

Nominees will be scored on a number of different criteria, receiving a score out of 100:

Business Problem

Demonstrate the organisation’s understanding of the business problem, particularly as it relates to Industry 4.0; describe the key stakeholders and customers. Document how the project came about and how your organisation got it off the ground. [10 Points]

Solution Overview

Document the solution developed for the business problem, paying particular attention to the aspects related to Industry 4.0. Showcase the complexities and challenges in developing the solution and how you overcame them. [15 Points]

Describe the data science skills, tools and techniques that were applied in order to deliver this project, in terms of both quantitative analysis of datasets and the application of Data Science/AI techniques for Industry 4.0. [15 Points]

Innovation: Outline the innovation in your solution. What differentiates it from other Data Science/AI  Solutions that have been applied to Industry 4.0? [20 Points]

Business Impact

Clearly describe how your solution to the business problem is delivering real business value, with a strong focus on how it is impacting Industry 4.0. How is the impact on your Industry/business being measured? What other impacts is the solution having on the business? [30 Points]


Describe your vision for your solution into the future. What other areas of Industry 4.0 do you plan to address through the application of Data Science/AI? [10 points]


Freda Cunningham
Freda Cunningham

Director | Deloitte Ireland

Declan McKibben
Declan McKibben

Interim Director Commercialisation | ADAPT Centre, Trinity College Dublin

Roberta Turra
Roberta Turra

Head of Big Data Analytics team | Cineca

Dr Ahmed Khamassi
Dr Ahmed Khamassi

Vice President Data Science | Equinor