Source: azure.microsoft.com
Town of Cary innovates flood prediction with IoTCategory: Software, Business, Data, Microsoft, Infrastructure, Architecture, automation
It affects tens of millions of people around the world each year and causes, on average, more than $200 billion in damages. Many communities face flood-related challenges, and the Town of Cary in North Carolina, United States, is no different.
In addition, we required a robust set of analytical tools that could deliver insight from both real-time and historical data and SAS Analytics for IoT offered that.”
Leveraging SAS Analytics for IoT and SAS Event Stream Processing (ESP), the Town of Cary has enhanced their ability to acquire and manage new data from Azure IoT, generate and deploy predictive models, manage the lifecycle of those models over time, and achieve greater insight they can take action on.
This data and predictability will have a huge economic impact, not just in the Town of Cary, but for many municipalities, including local businesses and citizens, downstream.”
In addition, we required a robust set of analytical tools that could deliver insight from both real-time and historical data and SAS Analytics for IoT offered that.”
Leveraging SAS Analytics for IoT and SAS Event Stream Processing (ESP), the Town of Cary has enhanced their ability to acquire and manage new data from Azure IoT, generate and deploy predictive models, manage the lifecycle of those models over time, and achieve greater insight they can take action on.
This data and predictability will have a huge economic impact, not just in the Town of Cary, but for many municipalities, including local businesses and citizens, downstream.”
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