Global concerns and recent issues give rise to a growing need for communities and cities to be able to have greater control over the water they drink.
Embracing IoT can be the crucial step towards developing systems that can immediately detect irregularities. For example, measuring water turbidity can be used as a proxy for water quality. Real-time data is collected at various sensors and compared against a national data-set which can then immediately detect abnormalities and alert officials and consumers.
Air quality is a growing concern in both developed and developing cities.
Sensors can measure the amount of particulate matter in the air and compare against recommendations from the World Health Organization. Early detection can alert citizens to a recommended course of action, such as using a face mask or staying indoors. But more importantly, detection can raise awareness and create pressure for city officials to prioritize and promote clean-air initiatives.
The vast and complex food supply chain can mean that tracing food back to its origin can be time-consuming and problematic.
Contaminated food can cripple a business and leave consumers at risk. IoT enables food producers to monitor key production conditions, shipping time, and, perhaps most important, temperature. The traceability along the chain gives companies assurance they are following acceptable food safety standards.
Using predictive crime analytics, security cameras, and real-time data can enable public security officers to focus their attention on high probability security and safety risks.
Coordination between field officers and central operations can lead to better intelligence on a situation before arrival, which can streamline the efforts and ability to make more informed decisions.
Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.
Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.
Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.