My journey into AI Governance began at the 2023 Second World Summit of Future Commissions held in Montevideo, Uruguay. This event, hosted by the Parliament of Uruguay and the Inter-Parliamentary Union, was a significant starting point. We discussed the need for anticipatory governance in AI, focusing on how this technology intersects with democracy, human rights, and societal structures. These discussions set the stage for a deeper exploration of AI’s transformative potential.
In the world of data applied to public utilities, striking the right balance between a centralized Business Intelligence (BI) strategy and a self-service approach is key to maintaining agility without sacrificing control.
My journey into AI Governance began at the 2023 Second World Summit of Future Commissions held in Montevideo, Uruguay. This event, hosted by the Parliament of Uruguay and the Inter-Parliamentary Union, was a significant starting point. We discussed the need for anticipatory governance in AI, focusing on how this technology intersects with democracy, human rights, and societal structures. These discussions set the stage for a deeper exploration of AI’s transformative potential.
In the world of data applied to public utilities, striking the right balance between a centralized Business Intelligence (BI) strategy and a self-service approach is key to maintaining agility without sacrificing control.
In recent years, utilities have invested heavily in data analytics as a driver of efficiency and decision-making. However, this evolution has not always been supported by a unified strategy around Business Intelligence (BI) platforms.
In the energy business, the time factor is crucial. Decisions about which plants to start up, when to do it, and at what capacity require careful planning. It is not enough to simply react to real-time consumption: every mistake impacts efficiency and can put the stability of the system at risk.
The potential of artificial intelligence in the energy and utilities sector is enormous, ranging from smarter forecasting and grid optimization to proactive maintenance and better customer experiences.
