What Is Augmented Intelligence and its Applications

What Is Augmented Intelligence, and How Does It Work?

Innovations in Artificial Intelligence (AI) and Machine Learning (ML) are creating new opportunities for businesses across all industries. One such technology is Augmented Intelligence. Unlike the traditional view of AI as an autonomous system that operates without human involvement, augmented intelligence uses ML and deep learning to provide humans with actionable data.

What Is Augmented Intelligence?

Augmented intelligence (also known as intelligence amplification, or IA) uses ML and predictive analytics of data sets to enhance human intelligence by improving human decision-making and, by extension, actions taken in response to improved decisions. Think of this innovation as a combination of people and artificial intelligence designed to improve how people do their work, not replace them. Developments in augmented intelligence can help organizations and their employees make more accurate, data-driven decisions. 

What Applications Use Augmented Intelligence?

Augmented intelligence uses and prioritizes collections of data by providing predictive analytics to organizations. Since any industry can generate data, potential applications can serve a wide range of companies and workers.

1. Problem Solving

Companies can help their workers with augmented intelligence tools that provide contextual data while they perform their work. By unlocking the business intelligence associated with that data, workers have a resource that can help them quickly solve problems and improve productivity. This continuous process builds on itself. As a result, organizations capture even more data on what will enhance an employee’s ability to perform specific job duties. Over time, augmented intelligence can help improve safety, quality, and productivity. 

2. Personalized Training

Using data on employee performance, augmented intelligence can create dynamic training tools that correspond to current knowledge. For example, data analytics on employee proficiency would match the type of training needed to improve specific skills for each person. More skilled employees would skip lessons on things they’ve already mastered. This targeted training would happen in real-time, providing a constant feedback loop on skills mastered versus skills needed. As a result, an organization can improve productivity and quality, while enhancing safety. 

3. Knowledge Sharing

Augmented Intelligence can capture unwritten employee knowledge typically shared casually between workers. Compiling that information in a distributed format can leverage the knowledge of experienced employees by creating a means to transfer it to other coworkers. That collective wisdom can help employees improve their ability to troubleshoot and solve problems. It also can document tacit knowledge for organizations.

The global Augmented Intelligence market size was valued at $11.73 billion in 2020 and is projected to reach $121.57 billion by 2030, growing at a CAGR of 26.4% from 2021 to 2030, according to Allied Market Research. Key players in the augmented intelligence industry include big tech names such as Amazon Web Services, Inc., International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, QlikTech International AB, Salesforce.com, Inc., and Samsung, among others. 

Have questions about how augmented intelligence tools can help your organization? Contact the experts at InApp. We’re here to help.