Reimagining Digital Governance With Artificial Intelligence And IoT Posted on : Mar 09 - 2021

While digital transformation has remained a focus for industries all over the world for a long time now, the Covid-19 pandemic has brought it into the limelight again.

In fact, reimagining a tech-enabled future using technologies like artificial intelligence (AI) and Internet of Things ( IoT) devices will be beneficial and equally challenging for all businesses.

Because people are now depending upon tech companies for most aspects of their everyday life — from checking their fitness levels and procuring education to managing huge monetary funds and data — business leaders must realize that just one leakcould cause their companies to lose millions of dollars and see a huge dent in their integrity and reputation.

An increasing number of people are working remotely, and cloud collaboration has almost become the norm, so companies will have to get even more vigilant when it comes to securing crucial data spread across thousands of devices unrestricted by geographic locations.

As of late, IoT and AI have been used together in a new piece of jargon. Termed Artificial Intelligence of Things (AIoT), it promises a transformative impact on processes and people alike.

To put it simply, streaming data across connected devices (IoT) and using it for predictive analytics (AI) is interesting. In all honesty, IoT was always built around AI. The very purpose of streaming data through a network makes sense only if it is used for analysis. That’s exactly why the use of AI products in the IoT ecosystem is growing at a CAGR of 26%.

Take a simple example of a fitness band that captures your pulse. It can send your health data in real time to a physician, who further uses inputs to make predictions and raise alerts. Or, when working from home, the data captured from multiple systems at your home desk is somewhere assuring others that you aren’t misusing the opportunity.

On a grander scale wherein IoT is spreading across industries, AI is undeniably useful in an ocean of unstructured data. The industry that was mostly considered limited to use case analysis is expected to reach a value of $124 billion by the end of 2021. View More