Mathematical Foundation of Cognitive Computing Based Artificial Intelligence

2019 ◽  
pp. 29-64
Author(s):  
Tamás Gergely ◽  
László Ury
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Foundation ◽  
Cognitive Computing

Predictive Analysis for Digital Marketing Using Big Data

2017 ◽  
pp. 259-283
Author(s):  
Balamurugan Balusamy ◽  
Priya Jha ◽  
Tamizh Arasi ◽  
Malathi Velu
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Statistical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Predictive Analysis ◽  
Cognitive Computing ◽  
Internet Resources ◽  
To Come

Big data analytics in recent years had developed lightning fast applications that deal with predictive analysis of huge volumes of data in domains of finance, health, weather, travel, marketing and more. Business analysts take their decisions using the statistical analysis of the available data pulled in from social media, user surveys, blogs and internet resources. Customer sentiment has to be taken into account for designing, launching and pricing a product to be inducted into the market and the emotions of the consumers changes and is influenced by several tangible and intangible factors. The possibility of using Big data analytics to present data in a quickly viewable format giving different perspectives of the same data is appreciated in the field of finance and health, where the advent of decision support system is possible in all aspects of their working. Cognitive computing and artificial intelligence are making big data analytical algorithms to think more on their own, leading to come out with Big data agents with their own functionalities.

A Brief History

2021 ◽  
pp. 26-56
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
Human Intelligence ◽  
Single System ◽  
Cognitive Computing ◽  
Job Functions ◽  
Technology Industry ◽  
History Of ◽  
Time Variables ◽  
System Operating

In this chapter, the author presents a brief history of artificial intelligence (AI) and cognitive computing (CC). They are often interchangeable terms to many people who are not working in the technology industry. Both imply that computers are now responsible for performing job functions that a human used to perform. The two topics are closely aligned; while they are not mutually exclusive, both have distinctive purposes and applications due to their practical, industrial, and commercial appeal as well as their respective challenges amongst academia, engineering, and research communities. To summarise, AI empowers computer systems to be smart (and perhaps smarter than humans). Conversely, CC includes individual technologies that perform specific tasks that facilitate and augment human intelligence. When the benefits of both AI and CC are combined within a single system, operating from the same sets of data and the same real-time variables, they have the potential to enrich humans, society, and our world.

scholarly journals IEEE Access Special Section Editorial: Artificial Intelligence and Cognitive Computing for Communication and Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 144105-144111
Author(s):  
Yin Zhang ◽  
Giancarlo Fortino ◽  
Limei Peng ◽  
Iztok Humar ◽  
Jianshan Sun
Keyword(s):  
Artificial Intelligence ◽  
Special Section ◽  
Cognitive Computing

scholarly journals Artificial Intelligence: Opportunities, Issues and Applications in Banking, Accounting, and Auditing in Nigeria

2019 ◽  
pp. 1-6 ◽  
Author(s):  
Eno Gregory Ukpong ◽  
Imeofon Idongesit Udoh ◽  
Iniabasi Thomas Essien
Keyword(s):  
Artificial Intelligence ◽  
Research Design ◽  
Quantitative Research ◽  
Professional Services ◽  
Cognitive Computing ◽  
Current Accounting ◽  
Potential Applications ◽  
Bank Executives ◽  
Descriptive Survey ◽  
Learning Data

Artificial Intelligence (AI) could be a game-changer for business generally and  professional services in particular. With the rapid developments in machine learning, data mining and cognitive computing, the next decade promises to see huge leaps forward. While the excitement over the potential applications of AI is understandable, there are issues related to adaptation and application in developing countries, particularly Africa and indeed, Nigeria. This paper reviews the nature of accounting and auditing problems and the need for application of artificial intelligence (AI) technologies to the discipline. The discussion includes current accounting issues for which new AI development should be fruitful, particularly auditing. This research employed both a qualitative and quantitative research design. The study was carried out using a descriptive survey research design, employing secondary quantitative data. This study was conducted in Nigeria using stakeholders such as bank executives and university dons with majors in accounting and economics from Universities in Akwa Ibom State, Nigeria. Purposive sampling was used to select 45 stakeholders to form part of the sample. The researchers’ development instrument titled “Artificial Intelligence and the Future of Accounting in Africa Questionnaire” was used for data collection. The frequency and Mean were used to answer the research questions. This paper concludes with future roles of banks going forward and the impacts AI could have on auditing systems.

scholarly journals Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yanyan Dong ◽  
Jie Hou ◽  
Ning Zhang ◽  
Maocong Zhang
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Tacit Knowledge ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Human Intelligence ◽  
Cognitive Computing ◽  
Human Beings ◽  
Intelligent Machines ◽  
Value Rationality

Artificial intelligence (AI) is essentially the simulation of human intelligence. Today’s AI can only simulate, replace, extend, or expand part of human intelligence. In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. Breakthroughs in algorithms represented by cognitive computing promote the continuous penetration of AI into fields such as education, commerce, and medical treatment to build up AI service space. As to human concern, namely, who controls whom between humankind and intelligent machines, the answer is that AI can only become a service provider for human beings, demonstrating the value rationality of following ethics.

Cybersecurity Issues and Challenges in Industry 4.0

2021 ◽  
pp. 1836-1852
Author(s):  
Ravdeep Kour
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Online Monitoring ◽  
Cognitive Computing ◽  
Fourth Industrial Revolution ◽  
Entry Points ◽  
Iot Devices

The convergence of information technology (IT) and operational technology (OT) and the associated paradigm shift toward fourth industrial revolution (aka Industry 4.0) in companies has brought tremendous changes in technology vision with innovative technologies such as robotics, big data, cloud computing, online monitoring, internet of things (IoT), cyber-physical systems (CPS), cognitive computing, and artificial intelligence (AI). However, this transition towards the fourth industrial revolution has many benefits in productivity, efficiency, revenues, customer experience, and profitability, but also imposes many challenges. One of the challenges is to manage and secure large amount of data generated from internet of things (IoT) devices that provide many entry points for hackers in the form of a threat to exploit new and existing vulnerabilities within the network. This chapter investigates various cybersecurity issues and challenges in Industry 4.0 with more focus on three industrial case studies.

SCRS CONFERENCE PROCEEDINGS ON INTELLIGENT SYSTEMS

2021 ◽  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Data Analysis ◽  
Conference Proceedings ◽  
Language Processing ◽  
Business Intelligence ◽  
Intelligent Systems ◽  
Cognitive Computing ◽  
Fake News ◽  
Research Papers

This book presents the collection of the accepted research papers presented in the Conference on Intelligent Vision and Computing, 2021 and Conference on Intelligent Systems, 2021. In addition, this edited book contains articles related to the themes of business intelligence, artificial intelligence, data analysis, fake news detection, natural language processing, neural network, and cognitive computing.

Sign in / Sign up

Export Citation Format

Share Document