AI Insights
cancel
Showing results for 
Search instead for 
Did you mean: 

The boundless possibilities of cloud scalability and IoT

TracySiclair

Guest post by HPE contributor

Internet of Things (IoT) solutions are end-to-end systems that involve cloud scalability, the capture of data from remote devices and sensors, the injection of intelligence into those devices (possibly via a gateway), advanced monitoring and analytics on the collected data, and the remote control and automation of devices from a central location. Given the distributed nature of IoT systems, it often makes sense to perform most of the data storage and intelligence within the cloud.

Although analytics can be distributed at the edges of an IoT solution—performing data filtering and real-time processing where needed—the cloud is a cost-effective back-end solution that you can change quickly as your IoT solution matures and evolves itself. Because most people are still exploring the potential of IoT systems, most follow a lifecycle that begins with simple monitoring, moving to predictive analytics and eventually cost savings and optimization through automation and cloud scalability.

HPE20160512281_1600_0_72_sRGB.jpgAdvanced system monitoring

Understanding the hidden complexity in any system—even physical distribution systems and the art of supply chain management—requires data. Only recently, advancements in embedded systems (smart devices and sensors) and their connectivity to the Internet have made it both possible and cost-effective to gather data and insight into the processes that take place in the physical world around us.

Mobility is creating a new surge of opportunities beyond the physical walls of business to help make the most of these innovations and achieve new efficiencies. Whether it's fleet management, inventory control, accurate parts distributions and availability, and so on, both IoT and cloud scalability make it possible to gather large volumes of data at the edges of these ecosystems. Gathering this data, discovering new data along the way, and monitoring remote systems are only first steps—analyzing it comes next.

Predictive analytics

IoT solutions often produce data at rates and volumes that can overwhelm embedded storage and remote security requirements. As a result, new approaches involving the cloud, data storage and processing, and the use of data scientists and new development techniques are emerging to extract hidden business value from these systems and their data. Once manual and prone to error, data collection and system interactions can now be automated to find patterns that help predict failures and outages.

These new approaches more accurately predict outcomes, such as identifying maintenance requirements and supply chain shortages. In health care, predictive analytics can identify drug interactions and health crises in populations (epidemics). With patient monitoring, it can predict potential life-threatening conditions before they become critical.

Efficiencies and cost savings of cloud scalability

Beyond monitoring and advanced analytics, IoT can help uncover hidden costs to be driven out of production and distribution systems, and even pinpoint areas for potential efficiency gains. Communications with remote systems across factories and transportation, real-time data gathering and analytics, and the ability to integrate with enterprise software that drives your business are often requirements of any IoT system that promise value in additional automation, value discovery, cost savings, and new ways to improve customer service.

At the top of this entire stack is the need to increase security at each step of the way. As IoT turns every company into a technology company—and every job potentially into an IT job—it's everyone's responsibility to ensure the privacy and security of our data. This begins with the CIO, and filters across to every enterprise employee. IT security can be daunting, but the increased value that IoT promises all of us more than outweighs its challenges.

Learn more on how to capitalize on IoT.

 

0 Kudos
About the Author

TracySiclair

Tracy Siclair has worked for HPE for 20 years in various positions, all geared towards providing a better customer experience. She has a passion for thinking out-of-the-box and finding innovative ways to get the job done. While not on a computer for work, she enjoys watching her kids play sports, photography, videography, and the occasional game of billiards. Tracy resides in beautiful Fort Collins, Colorado.

Labels