IoT, Data Analytics: digital at the service of industries – Tech Talks

Whether it’s IoT, artificial intelligence or the use of data analysis in an Edge computing logic, digital offers strong prospects for traditional industries and sectors to reduce their environmental footprint. Spotlight on IT for Green solutions that enable the ecological transition.

The report published by IDC last July is clear, no less than 55.9 billion IoT connected devices will be present in the world by 2025. The data generated by these elements will be 79.4 Zb (Zettabit). Nearly 30% will be installed in industrial environments.

The Industrial Internet of Things (IoT) uses object-oriented systems connected to the network and able to interact with each other. These devices are equipped with sensors that collect data by monitoring the production context in which they operate. The information thus stored is then analyzed and processed, contributing to the optimization of business processes. In the industrial field, connected objects frequently operate from peripheral devices at the edge of networks (Edge Computing). It is here that the information collected constantly provides data to improve operating methods.

Towards industries X.0?

In addition to predictive maintenance, the IoT allows the improvement of energy performance in buildings, the optimization of public energy networks and the real-time management of electrical distribution systems. These applications allow the analysis of data and the implementation of effective solutions directly on the place of production of this information. In the same logic, the development of digital twins, virtual replicas of physical assets, allow the modeling of infrastructures, systems and devices thanks to the digital reproduction of real contexts.

Better data collection

There are therefore many technologies that address the development of industry in an ecological logic. Whether connected devices, sensing technologies, instrumentation, or simply applications, they deliver better data collection. The effectiveness of a sustainable development strategy will thus depend on the quality and clarity of the data policy put in place.

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In concrete terms, a supply chain can represent up to 90% of a company’s environmental impact. According to a PwC study, AI could potentially reduce greenhouse gas emissions by up to 4% by 2030. Another study produced by Deloitte in March 2021, highlights that one in three consumers adapt their purchases according to the environmental impact of products or brands. That’s all it takes to convince companies of the need to adapt their strategy to sustainable development.

Thanks to data, companies can therefore bring new automation to their production chain. Data analysis makes it possible to simulate changes in demand. But also to facilitate task planning, plan the maintenance of production tools and reduce the risk of errors.

AI makes the ecological transition a reality

Another relevant technology, artificial intelligence can contribute to the ecological transition. Provided it is based on reliable data analysis. Some companies are pushing technology in the area of ​​flow optimization. We then speak of a more economical management of the fuel supply. But also goods for mass distribution, last mile distribution for e-commerce, supply and production within the factories themselves.

The tools developed are able to calculate in detail the production of finished products according to numerous parameters. We then talk about sales forecasts, the performance of production lines or storage capacities… Efficient use in the automotive industry as well as in food or heavy industry.

Algorithms also make it possible to develop offers in terms of transport planning. This last area cuts across a vast field of possibilities. It is now conceivable to position maintenance work, predict traffic regulation in real time and many other potentials…

Digitizing and digitized: all together for industry

Recently, many digital giants have come together in the Software Republic. The initiative should allow these actors to think about the mobility of tomorrow. It is therefore a question of setting up a real new open ecosystem dedicated to intelligent and sustainable mobility for industries.

Among the areas particularly exploited by the Software Republic are artificial intelligence, big data, cybersecurity. But also semiconductors and connectivity. By combining the knowledge and skills of each, the ambition is therefore to make this group a spur for innovation of European rank. All in favor of reducing the carbon footprint for industries.

Among the sectors in which the new organization will work is intelligent systems. But also the simulation and data management systems, the energy ecosystem. The first of these must make it possible to make connectivity between a vehicle more robust. Just like with all of its digital environment. The second part should make it possible to optimize flows for territories and businesses. Components that are fully in line with a logic of strong ecological transition.

Olivier Robillard

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IoT, Data Analytics: digital at the service of industries – Tech Talks

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