AI and Data Democratisation for Intelligent Energy Management

Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout Artificial Intelligence (AI) services in near-term. However, things have started to change, owing increased adoption data democratisation processes, capability offered by emerging technologies sharing while respecting privacy, protection, security, as well appropriate learning-based modelling capabilities non-expert end-users. This is particularly evident energy sector. In this context, aim paper analyse AI democratisation, order explore strengths challenges terms access problems sharing, algorithmic bias, transparency, privacy other regulatory constraints AI-based decisions, novel applications different domains, giving particular emphasis on A framework intelligent management presented. doing so, it highlights need analytics sector, toward making available right people at time, allowing them make eventually facilitating decentralised, decarbonised, democratised business models.