Potential of Cognitive Computing and Cognitive Systems

Abstract

Abstract:Cognitive computing and cognitive technologies are game changers for future engineering systems, as well as for engineering practice and training. They are major drivers for knowledge automation work, and the creation of cognitive products with higher levels of intelligence than current smart products. This paper gives a brief review of cognitive computing and some of the cognitive engineering systems activities. The potential of cognitive technologies is outlined, along with a brief description of future cognitive environments, incorporating cognitive assistants -specialized proactive intelligent software agents designed to follow and interact with humans and other cognitive assistants across the environments. The cognitive assistants engage, individually or collectively, with humans through a combination of adaptive multimodal interfaces, and advanced visualization and navigation techniques. The realization of future cognitive environments requires the development of a cognitive innovation ecosystem for the engineering workforce. The continuously expanding major components of the ecosystem include integrated knowledge discovery and exploitation facilities (incorporating predictive and prescriptive big data analytics); novel cognitive modeling and visual simulation facilities; cognitive multimodal interfaces; and cognitive mobile and wearable devices. The ecosystem will provide timely, engaging, personalized / collaborative, learning and effective decision making. It will stimulate creativity and innovation, and prepare the participants to work in future cognitive enterprises and develop new cognitive products of increasing complexity.

Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques

“…Consequently, this leads to the implementation of efficient cognitive systems that makes them do various tasks such as reasoning, discovery in several areas [24] such as education, insurance, science and healthcare [25]. In the end, it is observed from Noor [26], that recently cognitive computing contributed much in engineering systems of the future.…”

Digital transformations: an introduction

“…• The delegation to machines of many repetitive, exhausting, dirty or dangerous tasks (Deloitte, 2015;GE, 2015). • Computer assistance that will help human experts to keep up with, F. Xavier Olleros and Majlinda Zhegu -9781784717766 Downloaded from Elgar Online at 07/08/2020 06:42:17AM via free access and make sense of, the flood of new knowledge constantly accumulating (Kelly, 2015;Noor, 2015), thus rendering their work more enjoyable, creative and scalable (Manovich, 2013;Chui et al, 2015;Markoff, 2015). • A broader range of customized and affordable products and services, particularly in the fields of education, health, mobility, banking and insurance (Avent, 2014;Schatsky et al, 2014;Laurent et al, 2015).…”

“…Moore's law, predicting a steady doubling of computer power every two years, will only be part of the reason for this plethora of new digital possibilities. The convergence of inexpensive and powerful sensors, fully secured networks, extensive datafication, and parallel, cloud and cognitive computing will be even more critical to achieving further gains in efficiency and opportunity (The Economist, 2015;Kelly, 2015;Noor, 2015).…”

Human-Like Sensing for Robotic Remote Inspection and Analytics

“…Fusion of the above five senses and the associated analytics is also termed as ''cognitive computing'' [6]. In time, cognitive computing will be able to unobtrusively observe and model complex interactions in complex systems-such a sensory-aware machine can be used the model to predict the system condition and health leading towards predictive maintenance and quality improvement.…”