scholarly journals Chatbot for University Resource Booking

Author(s):  
Challamalla Balaji Ram Mohan ◽  
Ankush Babu Divi ◽  
Abbineni Venkatesh ◽  
Bandla Sai Teja

Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in a smart home, to playing one’s favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. To address this problem, in this paper we provide the design of a chatbot, which is efficient and timesaving in booking University/Institution resources like auditoriums, seminar halls, projectors etc which is built using Dialogflow, Nodejs, and PostgreSQL. This chatbot can be used by any University/Institution to book resources.

2020 ◽  
Vol 16 (3) ◽  
pp. 175-206
Author(s):  
Salih Caner ◽  
Feyza Bhatti

The technological developments on artificial intelligence (AI) are going to diffuse in all scales of firms in different industries. AI is increasingly used in diverse business functions, including marketing, customer service, cost reduction, and product improvement. Although there exists a large number of studies on AI, those focusing on the businesses are rather rare, and there is no holistic conceptual framework that brings the information on defining AI business strategy. The aim of this paper is to develop a conceptual framework on defining AI business strategy through a systematic literature review (SLR) of research conducted between 2015 and 2019. Consolidating business and technical views of AI, the paper discusses the major elements of AI in business like abilities and limitations of AI, economics and AI, business functions and AI, workforce, industries and AI, and regulations and ethics of AI on defining AI business strategy.


Author(s):  
I S Balabanova ◽  
S S Kostadinova ◽  
V I Markova ◽  
S M Sadinov ◽  
G I Georgiev

Author(s):  
Marie Bernert ◽  
Fano Ramparany

AbstractArtificial Intelligence applications often require to maintain a knowledge base about the observed environment. In particular, when the current knowledge is inconsistent with new information, it has to be updated. Such inconsistency can be due to erroneous assumptions or to changes in the environment. Here we considered the second case, and develop a knowledge update algorithm based on event logic that takes into account constraints according to which the environment can evolve. These constraints take the form of events that modify the environment in a well-defined manner. The belief update triggered by a new observation is thus explained by a sequence of events. We then apply this algorithm to the problem of locating people in a smart home and show that taking into account past information and move’s constraints improves location inference.


2022 ◽  
pp. 74-87
Author(s):  
Sunanda Vincent Jaiwant

AI has begun making its presence felt in every industry and now across the financial services industry as well. This chapter examines and presents the use of AI in banks for better customer service giving them a personalized experience. This chapter explains how banks are getting future-ready for their financial services by means of AI and are delivering financial offerings seamlessly. This research primarily focuses on the concept of AI in the field of banking, how AI has revolutionized personalized banking and made banking operations more efficient and successful. AI innovations are an integral part of Industry 5.0 which aims at integrating automation and human intelligence. This chapter aims to study and describe the current applications of AI in the banking industry and its impact on the banking sector. The study also gives a description of the banks employing AI to facilitate an exceedingly personalized customer journey with the banks.


Author(s):  
Alisson Trindade Souza ◽  
Luciane Neves Canha ◽  
Rafael Gressler Milbradt ◽  
Christian Lua Lemos ◽  
Cassio Michels ◽  
...  

Smart Cities ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 402-420 ◽  
Author(s):  
Xiao Guo ◽  
Zhenjiang Shen ◽  
Yajing Zhang ◽  
Teng Wu

Smart home and artificial intelligence technologies are developing rapidly, and various smart home products associated with artificial intelligence (AI) improved the quality of living for occupants. Although some studies discussed the application of artificial intelligence in smart homes, few publications fully considered the integration of literature and products. In this paper, we aim to answer the research questions of “what is the trend of smart home technology and products” and “what is the relationship between literature and products in smart homes with AI”. Literature reviews and product reviews are given to define the functions and roles of artificial intelligence in smart homes. We determined the application status of artificial intelligence in smart home products and how it is utilized in our house so that we could understand how artificial intelligence is used to make smart homes. Furthermore, our results revealed that there is a delay between literature and products, and smart home intelligent interactions will become more and more popular.


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