How SAS Is Used in Smart Cities & Communities
Provide efficient and effective services for citizens.
Increase cities' resiliency to social, economic and environmental impacts.
Increase citizen engagement, and address community needs.
Featured Customer
Jakarta Smart City
Given the growing needs of citizens worldwide, digital is the way to go to develop solutions more accurately and instantly. This partnership with SAS has helped Jakarta City Government serve its people better and further elevate the resilience of Jakarta residents. Yudhistira Nugraha Director Jakarta Smart City
Jakarta Smart City
11.2 million
residents
Largest City
in Southeast Asia
40%
of the city is below sea level
Other Smart Cities & Communities Working Even Smarter With SAS
SAS Public Sector Analytics
Powered by Azure
Reliably run your analytics in the cloud. Get the latest product enhancements as soon as they're available. And centrally manage your analytics with familiar Microsoft tools.
SAS for Flood Prediction & Preparedness
SAS for Flood Prediction & Preparedness is the first of many public-sector-specific analytics offerings SAS and Microsoft plan to build together. Now available on Azure Marketplace.
Recommended Products & Solutions for Smart Cities & Communities
- Advanced Analytics Software di Analisi Avanzata (Advanced Analytics) specifico per imprese sviluppato da SAS: predictive analytics, forecasting, data mining e text analysis.
- SAS for Flood Prediction & Preparedness | Powered by Azure IoTGain real-time situational awareness for alerting emergency services and improving citizen safety with a solution that combines sensor data and advanced analytics.
- SAS® Analytics for IoTPrendi decisioni rapide e sicure, riducendo al contempo i costi di trasporto e archiviazione dei dati, sia che i tuoi dati siano "at the edge", "in motion" o "at rest".
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Energy ForecastingImprove energy forecast performance, reduce uncertainties and generate value.
- SAS® Event Stream ProcessingOttieni informazioni analitiche in tempo reale dallo streaming di big data nella tua organizzazione.
- SAS® Visual AnalyticsEsplora visualmente i tuoi dati, scopri nuovi schemi di business e pubblica report su web e dispositivi mobili. Dai valore ai tuoi dati con gli analytics, un reporting solido ed efficace e la mobile BI. Ora puoi con il software di data visualization SAS Visual Analytics. Contatta SAS Italy.
- SAS® Visual StatisticsCrea e modifica modelli predittivi più velocemente grazie a un'interfaccia grafica e all'elaborazione in-memory.
- Soluzioni software di Data ManagementLa tecnologia di data management è una componente chiave della piattaforma SAS. È modularizzata per risultati rapidi, progettata per la collaborazione tra IT e business, e può aiutare a trasformare i tuoi programmi analitici. Con il software di data management SAS, è possibile andare oltre la semplice gestione dei dati per liberare tutto il loro potenziale.
Recommended Reading for Smart Cities & Communities
Solution Brief
Making the unpredictable, predictable: Using AI and streaming analytics to prevent flood damage and predict flooding patterns
Learn how AI and streaming analytics can help you predict potential flood events so you can take proactive measures to protect your citizens and infrastructure.
Solution Brief
Natural language processing for government efficiency
Learn how NLP capabilities from SAS can help you uncover meaningful insights and make faster, better decisions from vast amounts of text-based data.
Blog
Smart cities: Which parts of the UK are the most AI-ready?
Our ability to store and process high data volumes using advanced algorithms and powerful computing means that AI is already transforming entire industries – financial services, energy and utilities, retail and telco to name but a few.
Solution Brief
Location intelligence for government
Discover how you can make evidence-informed policy and administrative decisions using location-based data.