Smart city platforms can serve as a key element for the effective implementation of the measures necessary to achieve the objectives.
The digital transformation represents the set of innovations that change the reality of the employees of the public administrations and of the cities themselves and their citizens. For this, 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.
The digital transformation supported by an incremental deployment of Smart City Platforms in the different verticals of the city, can and should become a key element to achieve the goals proposed by the Urban Agendas 2030, 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 included in the 2030 Agenda.
Therefore, a Smart City Platform should provide a technological ecosystem capable of supporting the 2030 Urban Agendas, being capable of integrating the information generated by the different city initiatives aimed at achieving improvements in any of the SDGs. and its associated goals.
For this, there must be clear strategic and operational objectives, with defined and easily automatable metrics and indicators, and adequate dashboards to provide the necessary knowledge for adequate, proportionate decision-making, and above all based on data from quality.
IOT helps in the integration of continuous improvement, the essence of which is that if you want to improve a magnitude of a parameter, you have to measure it first, that is: you cannot improve what cannot be measured.
Having a Smart City platform with the capacity to implement this model for generating information on the different service verticals across the city, optimizing decision-making thanks to the exploitation of data collected and analyzed through next-generation solutions: Artificial Intelligence, Predictive Analytics, Bigdata and Social Bigdata, BI, ML, etc.
ELLIOT. IOT Open Source middleware with high scalability and very fast integration and with the ability to connect with any sensor, device, machinery or existing data source to extract your data.
It allows managing data in real time with high variability over time and advanced analytics using technologies such as Big Data and AI.