The Grassroots Movement of AI

The digital transformation and the use of artificial intelligence (AI) pose great challenges for traditional industries such as the energy sector. The value creation along process chains characterised by manual work to operate large physical infrastructures increases the implementation complexity of valuable digital solutions and requires at the same time a high degree of maturity of digitally mapped information flows (data quality) and technologies (sensor technology, robotics). In order to overcome these high entry barriers and move from the theoretical “digital potentials” to the operationalisation of the “digital transformation”, the energy sector is more than other industries dependent on preparing its business from the grassroots upwards, along processes and information flows (Data Governance), and with the help of the resulting digital automation and service potentials (Servitisation) for the use of AI.