IJEEC | A Case Study of Artificial Intelligence is being used to Reshape Business

Indexing and Abstracting

A Case Study of Artificial Intelligence is being used to Reshape Business

Sourav Gupta , Akash Bhardwaj , Abhishek Mahawar , Sohan Gupta

International Journal of Electrical, Electronics and Computers (IJECC), Vol-6,Issue-3, May - June 2021, Pages 87-91, 10.22161/eec.63.11

Download | Downloads : 14 | Total View : 1094

Article Info: Received: 08 Jun 2021; Accepted: 22 Jun 2021; Date of Publication: 30 Jun 2021

Abstract:

AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.

Keywords:

Vehicle Integrated Artificial Intelligence System (VIAIS), Machine Learning (ML), Natural Language Processing (NLP), Expert System (ES), Robotic Process Automation (RPA)

References:

[1] AR ANNADURAI and S RAVI SHANKAR. Artificial intelligence and business process automation-an enterprise’s transformation approach.
[2] Saeed Asadi Bagloee, Majid Sarvi, and Michael Patriksson. A hybrid branch-and-bound and benders decomposition algorithm for the network design problem. Computer-Aided Civil and Infrastructure Engineering, 2017.
[3] Saeed Asadi Bagloee, Madjid Tavana, Mohsen Asadi, and Tracey Oliver. Autonomous vehicles: challenges, opportunities, and future implications for transportation policies. Journal of modern transportation, 2016.
[4] Machine Learning for Fraud Detection – Modern Applications Corinna Underwood and Risks. https://emerj.com/ai-podcastinterviews/machine-learning-fraud-detection-modern- applications-risks/. 2019.
[5] Aidin Ferdowsi, Ursula Challita, and Walid Saad. Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview. ieee vehicular technology magazine, 2019.
[6] Salman Ghazwani. The Impact of AI-Enabled Checkouts on Shoppers’ Attitudes and Purchase Intent in Saudi Arabia. PhD thesis, Auckland University of Technology, 2021.
[7] John F Gilmore and Naohiko Abe. Neural network models for traffic control and congestion prediction. Journal of Intelligent Transportation Systems, 1995.
[8] Brij Mohan Gupta and Surinder Mohan Dhawan. Artificial intelligence research in india: A scientometric assessment of publications output during 2007-16. DESIDOC Journal of Library & Information Technology, 2018.
[9] N Gupta. A literature survey on artificial intelligence. International Journal Of Engineering Research & Technology (IJERT) ICPCN, 2017.
[10] Rupali Kamble and Deepali Shah. Applications of artificial intelligence in human life. International journal of research- Granthaalayah, 2018.
[11] Lanner-America. https://www.lanner-america.com/blog/examples- artificial-intelligence-applications-transportation/. 2019.
[12] Xia Li, Xun Shi, Jinqiang He, and Xaioping Liu. Coupling simulation and optimization to solve planning problems in a fast-developing area. Annals of the Association of American Geographers, 2011.
[13] Meenakshi Nadimpalli. Artificial intelligence risks and benefits. Inter- national Journal of Innovative Research in Science, Engineering and Technology, 2017.
[14] Agostino Nuzzolo and Antonio Comi. Advanced public transport and in-telligent transport systems: new modelling challenges. Transportmetrica A: Transport Science, 2016.
[15] Iulian-Florentin Popa and Angela Ionit,a˘. The research institute for artificial intelligence. IDENTITY AND DIALOGUE IN THE ERA OF GLOBALIZATION, page 173.
[16] Michael Sˇtencl and Viliam Lendel. Application of selected artificial intelligence methods in terms of transport and intelligent transport systems. Periodica Polytechnica Transportation Engineering, 2012.
[17] Tianze Xu, Heng Wei, and Guanghua Hu. Study on continuous network design problem using simulated annealing and genetic algorithm. Expert Systems with Applications, 2009.