Eni: technological innovation as a crucial lever for decarbonisation
For the group led by Claudio Descalzi, the path passes through a neutral approach to all solutions in the field and also leverages artificial intelligence
3' min read
Key points
3' min read
The underlying strategy is clear: technological innovation as a key element in advancing the path of decarbonisation through an energy and technology mix that will achieve carbon neutrality by 2050, guaranteeing everyone access to socially and environmentally sustainable energy. Because for Eni a technological transition and carbon neutrality must go hand in hand with the need for a 'technology-neutral' approach using consolidated solutions and cutting-edge technologies.
The technological innovation model adopted by Eni
.Hence the choice of the group led by Claudio Descalzi to focus on a model of technological innovation that rests on three 'legs': 1) highly specialised proprietary skills together with a flexible approach; 2) alliances and collaborations with research centres and universities (including international ones) but also with industrial partners; 3) and, finally, the 'open innovation' system, which contributes to the creation of value by derisking the Six-legged Dog's activities by also exploiting the great benefits of cooperation with other players in the technological ecosystem.
AI as a core technology to transform the group
.In short, a very articulated mosaic, in the context of which is also the use of artificial intelligence, which for Eni represents a fundamental technology for its transformation and is used in various areas to improve operations, accelerate research and development, and create value for stakeholders. But always through a strategic and responsible approach and with a strong focus on ethics and the centrality of the human being.
The role of supercomputing
.In order to drive the development and implementation of AI, supercomputing is considered a crucial tile because it provides the computing power needed to handle large amounts of data and train complex models. And there are several areas of application within the group. The first is operational optimisation: Eni uses AI to improve the efficiency, safety and reliability of industrial assets. This includes predictive maintenance, process optimisation and energy management.
The different application areas
.The second area is the whole strand of research and development. The reason is clear: AI is a key driver for accelerating the development of new technologies and energy solutions, including the discovery of new materials, process optimisation and the development of digital twins. But it is also a significant support for employees as the group uses AI to simplify work processes and create 'co-pilot' tools to increase capabilities and improve the quality of work.
