Volume 9 | Issue 9 | September-2021

 Abstract

A Systematic assessment of the past performance and the expected future performance of an economy or an industry or a company is known as fundamental analysis. Fundamental analysis is undertaken with respect to the three components such as the economy in industry, company & in share market. Fundamental analysis makes an estimate of future share price and dividends of an equity stock and the analysis is based on assumptions that the price movements of an equity stock is based on certain fundamental factors such as the global economic conditions, general state of the economy and performance of the industry in general and the company in particular. An analysis attempts to capture the intrinsic value of an equity stock as measured by its present and future earnings.

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 Keywords

Fundamental, Stock Market, Equity Market, Investment, Buying & Selling.

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 Abstract

As we all know that due to globalization system the competition level is very high in every field of business and to meet out the competition at the world level, the work with humans or labours are not enough, the AI & robotic system is required. As to meet out the competitions & growth of business the requirement of AI & robotics increases. In this paper we will discuss about future of artificial intelligence & robotics in business.

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 Keywords

Artificial intelligence, human intelligence, robotic system, business growth, globalization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As we all know that due to globalization system the competition level is very high in every field of business and to meet out the competition at the world level, the work with humans or labours are not enough, the AI & robotic system is required. As to meet out the competitions & growth of business the requirement of AI & robotics increases. In this paper we will discuss about future of artificial intelligence & robotics in business.

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 Keywords

Artificial intelligence, human intelligence, robotic system, business growth, globalization.

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 Abstract

Artificial intelligence (AI) is becoming increasingly popular in the everyday lives of companies and individuals. Companies use artificial intelligence through voice recognition, image recognition, meeting their needs, answering questions and other opportunities to interact and attract customers. Artificial intelligence can be seen as a holistic integration between cloud computing, robotics, digital content creation, various technologies for network devices and their systems. AI has the authority to help management create and track a variety of digital content, help understand customers' overall needs and provide management with the information they need to make important decisions. AI helps marketers create clear benefits and provide better products and services to customers (Cremer, 2019). Digital marketing has enabled marketers to implement different strategies and improve the use of different electronic tools, market products and monitor customer needs using various online tools. Marketers can also be used to attract customers, target ads and stay up to date on the latest developments in the business environment. Artificial intelligence in the marketing process allows marketers to process and analyse large amounts of data to obtain basic information, analysing it to meet customer needs in a short time. In addition, management must effectively attract customers to be loyal and support the return on investment. Another important factor that aims to apply artificial intelligence in the marketing process is that the business environment becomes more complex, competitive and dynamic with various internet tools such as Web 2.0 and so on. Therefore, companies must recognize and understand customers' needs and expectations, create and improvise. Products that effectively meet the needs.

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 Keywords

Artificial Intelligence, Digital Marketing, Chatbots

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 Abstract

The stock exchange is where the shares of listed companies can be bought and sold. The great thing about the stock market is that it predicts that the share price will become a successful trader. Today, the online trading platform offers everyone the opportunity to invest and make money if they accurately forecast the market with their financial knowledge over the past year, for a year. A basic D-mat account has been opened, but this share of traders is profitable. Global indices, demand and supply, news about a company cause stock price fluctuations, and this price fluctuation gives traders the opportunity to make a profit, but the risk is to determine the best price to buy and sell shares. Forecasting techniques play an important role here. Investors predict the market with the help of basic analysis, technical analysis and machine learning technology. Investing in the stock market entails great risks due to nature's uncertainty and instability, which makes it difficult to predict the share price. The internal component of the nonlinear nature and complexity of the measurements makes it difficult to predict. The advantage of an artificial neural network is that non-linear and noisy data can be easily adapted, which improves the input-output ratio for non-linear data. Therefore, share prices can be predicted. Multilevel perceptron (MLP) and the expected retrospective algorithm developed by Rumelhart. This model consists of multi-level programming with three levels of input, output and hidden. Feed Forward means that amount of data go out in one input direction. The MLP process is converted to three levels, the first data sets are loaded into the input neural layer and the processing of the input neurons is sent to the hidden layer and finally to the output neural layer. Each layer of neurons is related to weights in a specific way, the process of changing the weight is called the learning algorithm. This technique involves two types of forward and reverse processes. Forward the uploaded input to the network notes and converts them to output, but the weights must be specified. When we go back, errors are due to the difference between the actual and desired performance of the network, but the weights must be adjusted accordingly.

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 Keywords

Share price, Artificial Intelligence, Artificial Neural Networks

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This paper focuses on the artificial intelligence (AI) in the Banking and financial services in Chennai to oversee the application of artificial intelligence methodology in the banks as well as responses from the clients or consumers. Banks and other financial institution can mine the financial transaction data generated by the proliferation of digital payments and banking to better monitor, predict and respond to consumer behaviour. To identify the information used in the banking and financial services, the data is collected from secondary sources based on the literature review. A structured questionnaire is framed to collect the primary data of customers have toward AI application. Findings: the result of the study that the private banks and private financial institution are using various AI services for the customers benefit so that customers satisfied with their services in addition to that financial services as to improve services more effective manner because some of them are dissatisfied with the banking services. The result also suggested that the customers more commitment from representatives to the banking and financial services by giving development innovative preparing to improve the AI procedures in the workplace.

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This paper studies the impact of artificial intelligence on consumer buying behavior. The aim of this paper is focused on study is change in consumer behavior is that Artificial intelligence will use different analytics to find more about consumers and their needs. The study is preparing on secondary data to analysis the articles, journals, and various sources of projects. The study concluded that this information generated through the systems, brands will develop better selling techniques to the customers right and buy it. Here we look at the impact of Artificial intelligence on consumer habits and how it can dictate the way consumers buy products and services from the market for the days to come.

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 Keywords

consumer behavior, artificial intelligence

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In the last ten years, information technology and its applications have progressed fast. This has shaped both our worldview and how we conduct business. Both business and trade have profited from the surge of information technology, which has improved efficiency, production, and the bottom line. Gains in productivity have made it possible to produce large numbers of things in a timely and correct manner. Emerging "third-platform" technologies like data analytics, mobile devices, automation, and artificial intelligence (AI) are fundamentally altering how society and individuals interact. A microcosm of how new software solutions, machine learning, and big-data analytics are altering the game may be found in the usage of marketing. This article examines the shifting landscape of marketing, particularly digital marketing. The study goes on to analyse the various areas of digital marketing where artificial intelligence has made an impact.

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 Keywords

Machine Language, Marketing & Real Time data.

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Human health, Social service, Human waste

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Nowadays cooperative education and training programs play a significant role in the sustainable development of cooperatives and it facilitates the improved customer care, loan collection, level of bad debts, better accounting system and improved financial and time service management. This study attempted to observe conceptual perspectives of cooperative education and training in current scenario such as structure of cooperative education and training in India, objectives of cooperative education and training, member education program, It was suggested in this study that the pedagogical tools, techniques and teaching materials as well as the contents of the programs should continuously be revised at regular intervals.

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Cooperative Education, Cooperative Training, Training Program Contents and Member Education Program.

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Creative Commons Attribution 4.0 and The Open Definition