Governance using artificial intelligence begins with data governance which is certainly not a new concept. That is, when data is collected, organizations need a certain policy level and insight to govern their data management. To a large extent, data policy has remained background in nature, although data-driven businesses usually require data governance to be of prime concern. However, in the past few years, in the face of the twenty-first century challenges of changing events, data governance has been at the forefront of discussions regarding almost everything in the media and the boards of various organizations that are taking the first steps towards their AI. In addition, the recent increase in government participation in data privacy is playing a prominent role in this development. His main focus was on the risks of artificial intelligence and the maintenance of its framework in the face of rapid machine learning development. This has contributed to the various institutions and companies starting to verify that data governance has not established an investigation in a way that leads to trading the massive shift towards the demanding machine in the current era of artificial intelligence. As with artificial intelligence we bring the new governance requirements related to artificial intelligence that require a proper framework that is applied transparently. Currently, with the spread of data science and tools that put data across the facility and become available to the many and not only to the elite few (such as data scientists, or even analysts). Explain that companies are using more data in many ways than in the past, and this represents a great value for companies, as in fact, they have witnessed great success in using data, which led to business adoption of this approach. However, this may also present new challenges for these Firms that business IT companies unable to handle data requests create a power struggle between two trends that slows the overall progress of AI in the facility. This has also led to a fundamental shift and organizational change in the type of data governance that data can be used, while It also protects data from risk, which is an answer to this topic. With this in mind, this work explores how many companies participate in defining the scope of AI. It is needed in order to strengthen its governance approach. With data governance as a basis for this, while it may require an organizational change to verify it in the long run, which may allow the organization’s AI to become in the scope in which it is responsible and sustainable, this work details the framework of the AI work governance framework that it intends to adopt by the various institutions.

The banking sector has been the backbone of each economy whether or not developed or rising. It plans and implements economic reforms. Any amendment during this sector through the adoption of technology can have an in-depth impact on the associate degree economy‟s growth. The present study mainly aims to analyze „Customers‟ Preferences satisfaction towards e-banking services in Public and private sector banks in Palayamkottai‟. The researcher discusses customer satisfaction regarding the modern banking services provided by the public and private sector banks. The researcher also analyses the problems faced by the customers while using e-banking services. The researcher has taken ATM/debit card, credit card, mobile banking, online banking, telebanking, and so on as the modern banking services which the customer uses for various modes of services like mobile recharge, payment of telephone bill, payment of an electric bill, money transfer, railway ticket booking, air ticket booking, filing of tax returns, investments and so on. The review of literature is classified as a) Studies on National Level and b) Studies on Global Level. The study is based on both primary and secondary data. The sample size selected for the study is being restricted to 550 only. BY the study conducted on “Customer‟s expertise with E-banking” we will conclude that altogether respects the purchasers are happy with their net bank. Major concerns of customers include security and privacy because of the growing members of online frauds, cheating cases, and hacking. Banks ought to maintain secrecy and confidentiality of customer‟s accounts and take adequate risk management measures against hacking and technology failures. Banks should use the latest version software or upgrade existing software which gives better security & control to remove bugs and loopholes.

The purpose of the study is to investigate critical variables that affecting patients’ behavioral intention to choose hotel-like hospital room.The model was developed from previous medical research and was tested to 233 respondents using partial least square structural equation model. First order, second order dan third order confirmatory factor analysis was used in this model.Based on the results of the complete model, perceived service quality, trust, perceived well-being, likelihood to choose hotel-like hospital have a positive and significant effect on behavioral intention for hotel-like hospital room. While supportive healing environment has no significant direct effect on perceived well-being but has significant indirect effect on behavioral intention through perceived well-being. Research conducted only among respondents who live in Jakarta City and focusing on the patient experience in the hospital room, as opposed to the hospital facility at large.This study investigated patients’ perspective in hospital room by integrating previous theories. The reason is that before deciding to marketing strategy the hospital, the supporting factors should be researched for the patients who might going to use their facilities, services and room type.

Now a days hospitals grow at faster rate. The reasons behind the faster growth are increased earning capacity, changes in the life style, increased population rate. Due to these reasons there are number new diseases come across the world. Hospitals face many challenges to achieve their goals. This study aims to study the need of training and development programs for private hospital employees. 135 respondents from various private hospitals are selected for this research. Statistical tools like percentage analysis, paired T test and correlation coefficient analysis used to analyse the collected data. This study concludes that training needs should be identified and proper training programs should be given to the hospital employees to enrich their knowledge

Due to high competition in the world every one does multiple jobs to standardise their livings. They have to play multiple roles in their organisations. So they are confused about their role in the organisation. This will leads to stress, nervousness. When an employee fails to do his work in a satisfied manner not for others for his conscious he feel stress. At that movement he reduces his hope automatically some tension come around his mind and collapse everything including him. Then the level of satisfaction of doing such work will also affect. This study focus on the job stress on employee job satisfaction among private colleges. 60 respondents selected from various private colleges and information collected for this research through structured questionnaire. Various statistical tools like Likert scale test and chi square analysis used to analyse the data. The study concludes there is significant relationship between gender and the reasons for stress among employees in private colleges.

In this paper, a Non-linear Programming Interior Point Method is proposed to determine the optimum switching angles for a Multilevel Inverter to reduce the It's Total Harmonic Distortion. First, a 11 level cascaded H- bridge multilevel inverter is implemented in MATLAB simulink. Then a Non-linear Programming Interior Point method algorithm is developed in MATLAB to find the optimum switching angles. Proposed algorithm is applied to 7 level, 11 level and 15 level inverters.

To have own house is the dream of every one. India is a country where every family dreams of staying in the house they own. But with the current increase in the land costs, construction material prices and labor charges, it is becoming difficult for middle class families to fulfill their dream of living in their own homes. Thus, the concept of low cost housing is introduced to give them a dream home in their budget. Although, there are number of problems rising in this concept nowadays such as increasing population density, scarcity of land, increasing cost of building material and many more. This project will give detail analysis of challenges in low cost housing, their solution and alternative ways for them.

Six Sigma is a measure of quality that strives for near perfection. The fundamental goal of Six Sigma is to apply continuous improvement to meet customer expectations. Six Sigma as a business strategy can significantly help companies to gain a competitive edge. Although Six Sigma business management strategy has been exploited by many world-class organizations, there are still very few documented evidences of Six Sigma tool usage in the Malaysian manufacturing industry. This paper reports the implementations and the effects of the usage of Six Sigma tools in Malaysian manufacturing industry.100 surveys were distributed and a total of 55 responses received indicates a response rate of 55% with a total of 33 companies that use Six Sigma, and most of these companies were from automotive and electronics manufacturing industries, which fall under large size categories companies. The results of the study are based primarily on descriptive statistics, presenting that most companies in Malaysia are using 100% control chart, 93.9% check sheet and 90.9% process mapping for their process improvement. It was also found, the low usage of the design of experiment 42.4%, regression 30.3% and hypothesis test 24.2%. Through the use of DMAIC (Define, Measure, Analyze, Improve, and Control), organizations can reduce waste in their processes. However, there is little implementation of Six Sigma tools to improve and control the phase of DMAIC due to lack of statistical research, which tools is mostly used by manufacturing industry. Hence, linking Six Sigma to customers and to businesses are the most critical factors for the successful deployment of Six Sigma in the manufacturing industry.

From previous research (Nelly, et al, 2016) found one of the independent variables, namely (X5) Land and Intensification with 4 indicators. This paper is one of the results of research that applies the second indicator, namely planting throughout the year. In this study the researchers applied planting time in June, July and August. It is hoped that cultivation at this time of planting can also produce the amount of production that is in accordance with the profile of the type of soybean used and which produces soybeans with quality appearance, color and shape, such as imported soybeans that are preferred by consumers of the tempeh industry and especially tempeh chips.
Analysis of the data in this study using experimental design theory using a Complete Randomized Block design with Sub-Sampling. The treatment is planting time with a sampling block of 5 types of Indonesian soybean seeds. From the results of the analysis using a 5% confidence level, it was concluded that it was not significant, meaning that the yield/production was not affected by the planting time. Farmers are advised to plant throughout the year, every month using superior seeds so that soybean needs can be met.