Along with an influx of big data, new mandates, program enhancements, and endless calls for better and faster service continue to challenge local governments. And when state budgets fluctuate, local governments feel the effects profoundly. Intelligent data technologies—including big data systems and cloud-based platforms—can help resource-constrained municipal organizations make the most of their existing staff and resources.
Give residents a quick, convenient way to report community concerns and get a timely response. Enable municipal government to proactively identify patterns and address issues by analyzing integrated data and applying AI-driven insights. Break down barriers between residents and help municipal departments to provide and improve service.
Enable a data-driven management system designed to monitor and improve the performance of city departments in real time.
Augmented, complete, and integrated capabilities for call handling and dispatching, intelligent mapping, field communications, data reporting and analysis, and application integration enhance the quality and availability of critical information. Together, they provide a common operating picture for intelligent, real-time responses.
Provide a platform to realize an urban development vision that integrates multiple Information and Communication Technology (ICT) and Internet of Things (IoT) data-driven solutions to manage the city’s assets: department information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, and other community services. Collect, organize, and use multi-modal information from heterogeneous sources, including various types of IoT data such as traffic, noise, weather, and pollution levels, and act on those massive amounts of data to improve residents’ quality of life:
Successful cloud adoption, migration, implementation, and management starts with good data. AI- and metadata-driven recommendations help automate and accelerate cloud integration and data management work.
Know where your data is, where it’s going, what it is, and what’s happening to it. Make sure it’s clean, trustworthy, and appropriately protected and managed.
Use trusted data to unleash the full potential of machine learning, artificial intelligence (AI), and other tools to promote discovery.