This session enabled participants to become familiar with practical use cases directly applicable to their daily work, including: drafting summary notes, structuring reports, multilingual translation, and formulating optimized textual queries to enhance responsiveness in document production.

Beyond office automation, the sessions highlighted the transformative potential of these solutions in the critical sectors of water and electricity.


In the hydraulic domain, predictive analysis of large datasets is emerging as a lever to refine distribution planning, detect network anomalies early, and better calibrate infrastructure maintenance.

Similarly, for the electricity sub-sector, the integration of intelligent models offers promising prospects in demand forecasting, anticipating failures on transmission lines, and optimizing renewable energy integration through fine exploitation of meteorological parameters.

The trainers, however, emphasized the essential safeguards for adopting these technologies, stressing that algorithms do not replace engineers’ expertise nor human judgment. Rigorous source verification, protection of sensitive data, and maintaining a critical perspective remain the pillars of this transition.


Through this capacity-building initiative, the ministerial department demonstrates its commitment to aligning its operational methods with modern standards of administrative efficiency and public governance.


Bernardo

Tags: intelligence artificielle modernisation service minée eau électricité analyse prédictive gestion documentaire formation ia gouvernance publique efficacité administrative innovation secteur