The Internet of Things (IoT)—the rapidly growing network of everyday objects equipped with sensors, tiny power supplies and internet addresses—continues to reveal itself as a profound source of disruption to both the marketplace and the security sector.
An IoT approach to analytics has many benefits, primarily access to more data and better insights. It also has its challenges. The volume and speed at which data is generated and collected can strain even the most robust networks. When timing is critical, delays in receiving and analyzing mass amounts of data can have serious consequences. That’s where the IoT comes into play.
The more you know about any one thing, event, place, or situation, the more reliably you can make predictions about what will happen in the future. Being able to analyze, compare and spot patterns quicker and more reliably than humans, relationships begin to emerge that were previously hidden, giving us insights into how we can initiate change.
Unstructured data, like pictures, videos and instant messenger communications, is growing at twice the rate of structured data and already accounts for 80% of all enterprise data, according to Gartner. Novel sources of data are constantly emerging that challenge our abilities to find, ingest and make sense of it. What does mobile device location data reveal about consumers or refugee migrations? What will data from autonomous vehicles mean for business, transportation, logistics and security? PlanetRisk is on the cutting edge of a new breed of IoT intelligence, re-architecting tools capable of ingesting and processing the diverse, unstructured data that fuels the internet of things.
PlanetRisk is exploring the expanding digital domain by using big data methods with data-driven simulations, and advanced predictive analytics to enable our clients to gain insights and advantages about the risks and opportunities confronting them with the Internet of Things.
PlanetRisk’s ability to encompass the Internet of Things allows for gathering significant amounts of data and being able to thoughtfully interpret the data to find risks and patterns.