Smart city platforms can serve as a key element for the effective implementation of the measures needed to achieve the objectives.
Digital transformation represents the set of innovations that change the reality of public administration employees and of the cities themselves and their citizens. For this to happen, all the actors in this digital transformation must understand it, and know how to adapt and see these technologies as allied tools and not as hostile elements.
Digital transformation supported by an incremental deployment of Smart City Platforms in the different city verticals can and should become a key element to achieve the goals proposed by the 2030 Urban Agendas, being an ecosystem of solutions and standards that support and substantiate any Strategic Plan developed around the SDGs, from the Vision, Mission, Values, Action Plans, objectives, indicators, etc.
From this perspective, a smart city platform should be aligned from its initial implementation with the 17 Sustainable Development Goals of the 2030 Agenda.
Therefore, a Smart City Platform should provide a technological ecosystem capable of supporting the Urban Agendas 2030, being able to integrate the information generated by the different city initiatives aimed at achieving improvements in any of the SDGs and their associated targets.
This requires clear strategic and operational objectives, with defined and easily automatable metrics and indicators, and appropriate dashboards to provide the knowledge necessary for appropriate, proportionate and, above all, data-driven decision making.
IOT helps in the integration of continuous improvement, the essence of which is that if you want to improve a parameter magnitude you have to measure it first, i.e. you cannot improve what you cannot measure.
The availability of a Smart City platform with the capacity to implement this information generation model transversally across the city on the different service verticals, optimising decision-making thanks to the exploitation of the data collected and analysed by means of state-of-the-art solutions: Artificial Intelligence, Predictive Analytics, Bigdata and Social Bigdata, BI, ML, etc.
ELLIOT. Open Source IOT middleware with high scalability and very fast integration and with the ability to connect to any existing sensor, device, machine or data source for data extraction.
It enables real-time data management with high variability over time and advanced analytics using technologies such as Big Data and AI.