Is Cloud Computing easier with AIoT?
Cloud computing geared up with AIoT has given rise to a new era of digital automation in industrial applications. Let us get in-depth knowledge on what happens without AIoT and with AIoT.
Cloud computing without AIoT:
Cloud computing provides three key components to connected devices – Connectivity, Storage and Compute which is the basis of IoT devices too. Cloud computing enables multiple devices to connect seamlessly and transfer data (machine-to-machine or telemetry data) with each other. Device data is stored centrally in the cloud. Compute service deployed in the cloud process these large data sets to derive insights and track the system performance metrics. Then the outcome is presented in insightful visualization, graphs or charts for the engineers to take appropriate decisions. Now let us see how cloud computing becomes easier with AIoT.
Cloud computing with AIoT:
The main component of AI added to the above process is “Act”. AI goes beyond visualizations by “acting” on the patterns and correlations from the data collected. It takes appropriate actions based on the data collected. Instead of just showing the data to the user in any IoT platform, AI takes decisions automatically without human interventions. Hence AI is called the brain of IoT system – Data driven decision making. The current IoT systems are designed to respond to an occurrence whereas AIoT systems can proactively detect faults and failures at the source level, hence IoT Data Analytics is “reactive” and AIoT is “proactive”. The convergence of AI and IoT systems provide predictive maintenance thereby helping the industries save money by optimizing maintenance strategies, improving the quality of assets and manufacturing operations.