In the future decision-making will involve a creative mix of data, analytics, and artificial intelligence (AI), with the added input of human judgment. The result is augmented intelligence – where the analytical power and speed of AI takes over the majority of data processing, guiding human employees to make more agile and smarter decisions.
Augmented intelligence is defined as a design pattern for a human-centered partnership model of people and AI working together to enhance cognitive performance, including learning, decision making and new experiences.
Most enterprises have mounds of data but few insights to promote positive business outcomes. They struggle to achieve ROI, such as revenue growth, better customer experiences, improved processes etc as well as to build an analytics capability for the future.
Augmented intelligence unites the strengths of people and machines when prospecting value from data. Namely, you can augment human instinct with smart algorithms that provide fast, data-driven predictive insights. These insights can help people redesign functions, detect patterns, and turn data into action.
Intended to extend human cognitive abilities, augmented intelligence is different from straight automation. Most processes in the future will be designed for straight-through processing, where there will be no humans involved in the process. Currently, that is not possible because in 25-30% of tasks, a human need to step in. This is where Augmented Intelligence steps in and guides human interventions.
In contrast to AI, augmented intelligence emphasizes collaborations between AI and human workers. It’s designed to enhance human skills and allow them to work faster and more efficiently, rather than replace them.
Source: metrology.news
