Today people are well versed with the term artificial intelligence, which has nearly become a part of their lives. People have now adjusted themselves to the advent of technology and its interference in their life, as they are pretty comfortable using high-end mobile phones, smart IoT devices, automated vehicles, AI-based systems, and devices that are making their life easy.

But here, we will be talking about Augmented Intelligence rather than artificial intelligence. Many of you might be familiar with the term augmented reality, as it is pretty common in the industry, but augmented intelligence is a word that is not so familiar to many.

So, let us know something important about the term augmented intelligence.

Augmented Intelligence

First of all, we need to understand that augmented intelligence is a sub-section of artificial intelligence and not a substitute for it. It is developed to enhance human intelligence and improve human decision-making through actions taken in response to the improved decisions.

In simple words, if we define augmented intelligence, then we can say that it is a design pattern for enhancing cognitive performance, including machine learning and decision-making between human and artificial intelligence.

Augmented intelligence utilizes machine learning and deep learning system to provide humans with actionable data, unlike artificial intelligence, which works independently without human involvement, which states that augmented intelligence works based on the inputs and instructions given to it.

For example, if you have used or are aware of Alexa, Siri, or any other virtual assistant, then you have used augmented intelligence. These devices are a product of augmented intelligence. Such devices, or virtual assistants, do not make decisions for you on their own; instead, they provide the data you need as and when you demand it, which means that augmented intelligence uses the already existing data on the web to provide you the needful after hearing your instruction or command.

Here we can easily differentiate between augmented intelligence and artificial intelligence as artificial intelligence operates without human assistance while augmented intelligence works on machine learning and deep learning and does not have to be in the decision-making process. In simple words, we can say that augmented intelligence does not make decisions on its own, and artificial intelligence is capable of making its own decisions.

Machine Learning & Deep Learning

Now, as we have come across this much information, you might have found these two terms frequently in the article- machine learning and deep learning. So let us understand in brief about both these terms.

Machine Learning –

Machine learning is a type of artificial intelligence software that allows applications to be more accurate at their prediction and performing functions without being programmed to do so. For example – Alexa is not programmed to check online train status, but when asked, it does it within seconds; this is an example of machine learning.

Deep Learning –

Deep learning is a machine learning process that imitates how humans gain specific knowledge, which includes substantial statistical data and predictive modelling. 

Augmented intelligence is being a solution to Big-Data issues

Internet of Things (IoT), cloud storage, and big data have enabled unprecedented data collection, storage, and analysis. The sheer volume of this data is just incredible: the International Data Corporation projects that by 2020, the “digital universe” will hold almost 5,200 gigabytes of data per person, for a total of 40 trillion gigabytes of data points.

Big data provides insight into marketing and customer preferences and predictive analytics of scientific, medical, and geopolitical challenges. However, the sheer magnitude of big data makes mining and analysis, among other activities, challenging without assistance. Augmented intelligence provides a way to help data analysts filter through such vast amounts of data: its deep learning skills may extract patterns from gigabytes of data that interpreters might otherwise overlook owing to the set’s sheer size.

Without augmented intelligence, processing massive amounts of data would take an extremely long time, sometimes years, depending on the size of the data set, and humans would overlook critical data trends. Because of this, augmented intelligence is at the heart of the burgeoning fields of data analytics and predictive data.

Market analysis of the augmented intelligence market

According to the market research reports published, the global augmented intelligence market is said to have an exceptional growth rate of 35.8% during the forecast period that ends in 2030.

The increased adoption of smart technologies, advanced analytics, machine intelligence, and IoT devices are driving the augmented intelligence market forward to earn whopping revenues during the forecast period. Along with this, the increased usage of augmented intelligence by leading organizations globally is creating immense opportunities in the global market.

Considering the geographical overview of the augmented intelligence market, the North American region dominates amongst all others, with the major market share due to major economies like the US and Canada. Other regions like Europe and Asia-Pacific are said to have considerable market share during the forecast period.

So, with all the information discussed in this article, we can conclude that augmented intelligence is not just a segment of artificial intelligence but a more prominent aspect of technology we are using today and will soon be a leading market segment.

Source: https://www.marketresearchfuture.com/reports/augmented-intelligence-market-8712