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Third Industrial Revolution Consulting Group<br />

5.4.1 Preferably, as with all of the other proposals, the objective is to align initiatives so that<br />

the accumulated learning curves and experience curves provide spillover, crossover and<br />

transversal benefits.<br />

5.4.2 A large and expanding portfolio of public and private financial tools have become<br />

available, spanning a broad range of discount rates, IRR requirements, diversified risk<br />

strategies, differing timeframes, and levels of financing.<br />

5.4.3 Familiarity with and experience in using these diverse financial instruments is a valuable<br />

component of developing an IoT-based Knowledge-as-a-Service.<br />

6 Educational<br />

6.1 Make companies fit for digitization (Internet of Things, IoT); define support measures –<br />

check if R&D support measures are available (e.g. the new R&D law) for digitization of<br />

production process. A set of disruptive digital technologies will transform the<br />

manufacturing industry. The digitization of the manufacturing sector will become a reality<br />

and a challenge for industrial companies. It is, at the same time, an opportunity for the local<br />

players to render their production more efficient, to save on resources, time, money and<br />

energy and to focus on the real added value. Therefore, technical guidance and financial<br />

support will be needed, especially for SMEs. Stakeholders to include: companies, Fedil,<br />

Luxinnovation, Chambre de Commerce, and the Ministry of Economy. Challenges include<br />

raising awareness among companies that digitization of production processes has become a<br />

reality. Give guidance on: How will digital disrupt existing industries/business models?<br />

Where should a company make investments in infrastructure, cybersecurity, and<br />

partnerships? Build use cases/showcases (IoT/Digitization of production process) to<br />

demonstrate to companies what is possible and feasible, through PPP projects, e.g. LIST,<br />

University plus three to five companies. How to handle the huge amount of data collected?<br />

How to make value out of it? For example: “Big Data in Manufacturing”; sensitive robotics;<br />

energy and resource efficiency, etc. What can be the role of the existing Learning Factory<br />

(http://www.learningfactory.lu/)? Educate students and industry in “Operational<br />

Excellence.”<br />

6.2 Expand re-skilling and up-skilling workers in a digitalized and automated work<br />

environment. Investment in initial education to provide future workers with the high skills<br />

needed to leverage technology advances. Reform of the vocational training policy to ensure<br />

ready access to retraining services so that every employee has a fair shot to react to<br />

245

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