This book offers meaningful insights into an impending challenge for the energy industry, namely the increasing role of asset management amongst the utilitiesâ core operations. In the aftermath of energy digitalization, power and gas companies will be able to seize asset productivityâthrough risk-based operation and maintenanceâand better balance capital and operational expenditures. By addressing the asset management of both power and gas infrastructures, and by adopting a comprehensive approachâincluding regulation and business models, as well as a solid technology backgroundâthis book offers a unique perspective on the energy utilitiesâ transformation journey and the road to optimal decision-making for both asset portfolio expansion and replacement. The asset management end-to-end mission requires appropriate internal governanceâdepending on the business frameworkâand the development of decision aid models (for asset replacement and maintenance), supported on probabilistic risk and reliability indexes. This book advocates systematically digitalizing the power and gas assets, addressing both data governance and infrastructure, alongside real-time equipment condition monitoring. It also provides a meaningful methodology for designing data-centric asset management and predictive operation and maintenance, using artificial intelligence and engineering-based approaches. As such, it provides valuable strategy, methods and modelsâillustrated by case studies and proofs of conceptâfor a wide range of stakeholders, including utilities and industry professionals, regulators, policy-makers, researchers and students.