Cognitive Intelligence: the Next Wave of Business
Cognitive systems are already transforming the manner in which businesses interact with their customers
Once a sci-fi theory, cognitive computing has entered the realm of concrete reality across industries, promising to redefine supercomputing and significantly impact work.
At its core, cognitive computing uses hardware and software to simulate human intelligence, using all the processes of human intelligent behavior—acquiring and processing data and using relevant information to run a system. Cognitive computing, used in artificial intelligence (AI) applications, enables machines to learn from data by applying statistical models to understand patterns from occurrences over time. A competent cognitive system even has the capability to generate reasoning by accessing huge amounts of data, mimicking the way the human brain functions.
Rapid advancement in various AI algorithms in anomaly detection, regression, two class, multi-class, and clustering has opened up the floodgates, and going forward cognitive computing can be leveraged to re-imagine business models and transform everyday functions.
There are several ways in which cognitive computing is impacting everyday reality and the way we could work in the future.
Today, smart vehicles already have AI-based driver-assist features such as self-parking, cruise controls to keep vehicles in the designated lane, and speed control depending on the vehicles around.Autonomous vehicle manufacturers are using deep learning techniques and sophisticated neural networks to deal with traffic randomness. For example, NIVIDIA’sDRIVE PX2is working with leading auto manufacturers in building AI-based self-driving cars.
Last year, three auto majors partnered to launch a project aimed at helping vehicles communicate with one another and, in turn, enable drivers to gain a better understanding of traffic conditions, using the power of AI to improve transport management.
Emotion recognition and analysis is emerging as a promising technological development for the media and marketing sectors in a retail environment. For example, with 3D facial imaging technology, customer emotion and sentiment can be detected and analyzed; this will help brands deliver personalized experiences in their marketing campaigns and carry out real-time micro-segmentation to achieve finer targeting based on unique customer behavior and response.
