“With the Internet of Things (IoT), you can understand the context (the time and place of the customer) to identify when you’re certain a customer needs help or an incentive to purchase, and you can respond proactively”
The Internet of Things (IoT) refers to a vast number of “things” that are connected to the internet so they can share data with other things – IoT applications, connected devices, industrial machines and more. Internet-connected devices use built-in sensors to collect data and, in some cases, act on it. IoT connected devices and machines can improve how we work and live. Real-world Internet of Things examples range from a smart home that automatically adjusts heating and lighting to a smart factory that monitors industrial machines to look for problems, then automatically adjusts to avoid failures.
Today, we’re living in a world where there are more IoT connected devices than humans. These IoT connected devices and machines range from wearables like smartwatches to RFID inventory tracking chips. IoT connected devices communicate via networks or cloud-based platforms connected to the Internet of Things. The real-time insights gleaned from this IoT collected data fuel digital transformation. The Internet of Things promises many positive changes for health and safety, business operations, industrial performance, and global environmental and humanitarian issues.
IoT Platforms and Architecture
Cloud-based IoT platforms and architecture connect the real and virtual worlds. They help companies manage IoT device connectivity and security – as well as collect device data, link devices to backend systems, ensure IoT interoperability, and build and run IoT applications. We help you to design, develop and maintain the IoT application architecture which runs your business smoothly. Some of our IoT applications developed are:
- Liquor Dispensing System
- School Bus Tracking
Harnessing the IoT data explosion
Smart devices generate a massive amount of IoT data that needs to be analysed and leveraged in real time. This is where predictive and Big Data analytics come into play. Machine learning is also used to add context to data – and trigger actions without human intervention.