Sign In to Follow Application
View All Documents & Correspondence

Artificial Intelligence And Cloud Based Smart Hr Management System In Financial Sector Using Machine Learning Algorithms

Abstract: Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms ABSTRACT Cloud computing, machine learning, and artificial intelligence innovations are reshaping many facets of business, such as finance, healthcare, human resources, marketing, etc. People have suggested that technologies like AI, ML, and cloud have the potential to revolutionise the sport. Banking, healthcare, human resources, and marketing will be among the first industries impacted by artificial intelligence. AI and its enabling technologies, such as machine learning and deep learning, have ushered in a new era of intelligent automation and human-level recognition. AI is already disrupting industries such as finance, healthcare, human resources (HR), and marketing that have existed for decades. Artificial intelligence is the most overused keyword in contemporary solutions. It is typically advertised as a revolutionary approach to fulfilling labour demands. Businesses throughout the globe now have access to better, cheaper labour as a result of technological improvements. Additionally, they can use analytics to identify untapped sources of value for their own organisations. Today, artificial intelligence has an undeniable impact on business. AI has multiple uses in the business world, including predictive analytics for corporate intelligence, deep learning applications for picture identification, and recommendation algorithms for the creation of personalised suggestions. AI will impact non-technical parts of the economy as well. We will study the potential ethical ramifications of implementing AI, ML, and cloud technologies in the marketing, finance, healthcare, and human resources industries. In addition, we will cover why AI is crucial in business today and how these solutions operate.

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
31 October 2022
Publication Number
45/2022
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
senanipindia@gmail.com
Parent Application

Applicants

1. MANGESH BABURAO SUGARE
Assistant Professor, Computer Science, Dayanand Science College, Latur, Maharashtra, 413512.
2. Arun M
Assistant Professor, Department of Commerce and Management, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham Amritapuri Campus, Kollam, Kerala, 690524
3. Balbhagvan Acharya
Assistant Professor, Department of BBA and BCA, MSJ College of Professional Education (Affiliated to Aryabhatta Knowledge University) PATNA, BIHAR, INDIA
4. Dr. Vinod Kumar Saroha
Assistant Professor, CSE AND IT Department, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, Haryana. Pin: 131305
5. Dr. Girdhar Gopal
Assistant Professor, Computer Science, Sanatan Dharma College Ambala Cantt, Jagadhari Road, Ambala Cantt, Ambala, Haryana
6. Narayan Behera
Professor, Physical sciences, SVYASA University, vivekananda road, kalluballu Post, Jigani, Anekal, Bengaluru 560105 Karnataka, India.
7. P.SELVI
Assistant Professor, PG and Research, Department of computer science and applications Vivekanandha college of Arts and Sciences for Women (autonomous) Elayampalayam, Namakkal(dt), Tiruchengode Pin:637205
8. Kanakaprabha.S
Assistant Professor, Department of CSE, Rathinam Technical Campus, Eachanari, Coimbatore
9. Mr.T.UDHAYAKUMAR
Assistant Professor, Department of CSE, Rathinam Technical Campus, Eachanari, Coimbatore
10. Mihir Otia
Student, Pharmaceutical Technology, Babaria Institute of Pharmacy, 16, Goyagate Society R. V. Desai Road Pratapnagar Vadodara,
11. Dr. Karthi S
Associate professor, Department of CSE, VSB ENGINEERING COLLEGE, KARUR, TAMIL NADU

Inventors

1. MANGESH BABURAO SUGARE
Assistant Professor, Computer Science, Dayanand Science College, Latur, Maharashtra, 413512.
2. Arun M
Assistant Professor, Department of Commerce and Management, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham Amritapuri Campus, Kollam, Kerala, 690524
3. Balbhagvan Acharya
Assistant Professor, Department of BBA and BCA, MSJ College of Professional Education (Affiliated to Aryabhatta Knowledge University) PATNA, BIHAR, INDIA
4. Dr. Vinod Kumar Saroha
Assistant Professor, CSE AND IT Department, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, Haryana. Pin: 131305
5. Dr. Girdhar Gopal
Assistant Professor, Computer Science, Sanatan Dharma College Ambala Cantt, Jagadhari Road, Ambala Cantt, Ambala, Haryana
6. Narayan Behera
Professor, Physical sciences, SVYASA University, vivekananda road, kalluballu Post, Jigani, Anekal, Bengaluru 560105 Karnataka, India.
7. P.SELVI
Assistant Professor, PG and Research, Department of computer science and applications Vivekanandha college of Arts and Sciences for Women (autonomous) Elayampalayam, Namakkal(dt), Tiruchengode Pin:637205
8. Kanakaprabha.S
Assistant Professor, Department of CSE, Rathinam Technical Campus, Eachanari, Coimbatore
9. Mr.T.UDHAYAKUMAR
Assistant Professor, Department of CSE, Rathinam Technical Campus, Eachanari, Coimbatore
10. Mihir Otia
Student, Pharmaceutical Technology, Babaria Institute of Pharmacy, 16, Goyagate Society R. V. Desai Road Pratapnagar Vadodara,
11. Dr. Karthi S
Associate professor, Department of CSE, VSB ENGINEERING COLLEGE, KARUR, TAMIL NADU

Specification

Description:DESCRIPTIONS
As a result of the introduction of digital technology, everything is undergoing rapid change. In an ever-changing and increasingly competitive market, a company's ability to survive depends on its ability to preserve its competitive advantage. Currently, it is crucial to utilise the available human resources. Human resources is responsible for the hiring and training of new employees, as well as deciding their salaries and productivity. Simply said, the employees of an organisation are its biggest asset. However, humans are prone to committing several blunders. Before exploring its possible uses, we must decide whether artificial intelligence (AI) is important in the business world. How vital AI is in the modern business world. There is a straightforward solution to this problem, despite its apparent simplicity. Artificial intelligence is capable of significantly more than only mimicking human thought. It can complete the task substantially faster and for a lower cost. As a result, organisations are now able to automate previously manual procedures. Automation has the potential to greatly enhance business operations, especially as artificial intelligence (AI) develops as it acquires more data and learns from it. Instead of waiting for model updates, businesses may immediately implement AI projects. If sufficient time and money are invested, progress will continue. The widely held idea that this will render people's current employment obsolete is false. However, firms will incur costs to train their employees on how to use AI algorithms, necessitating a shift in emphasis and the learning of new skills. When AI and humans work together, more can be achieved with fewer people. One-person productivity is the notion that artificial intelligence could liberate people from repetitive, monotonous tasks that currently limit growth. As a result, the user can experience a streamlined workflow and acquire information in an approachable format. When AI is utilised in business, the ultimate objective is to facilitate fruitful collaboration between individuals. Everyone benefits from having the tools necessary to develop and enhance their processes, resulting in a more productive and efficient workforce. As the prevalence of intelligent robots increases, society and the workplace are facing profound changes. Whether it was to discover a new location, seek employment, or do business. AI has now reached a position where it can be utilised to develop effective new solutions. It has streamlined operations and ensured timely delivery of vital information. In human resources and other organisational departments, we often repeat ourselves. As a result, AI has had numerous effects on HR, allowing it to perform a greater variety of functions. Consequently, we might conclude that human resources still requires human judgement. The objective of designing these tools was to aid HR professionals in decision-making by providing insight into their expected future behaviour. We will investigate the possible influence of AI's most important building blocks on the HR industry. Currently, the financial services industry is one of the most crucial and indispensable sectors of the global economy. Their clientele ranges from multinational organisations to sole proprietors. Customers cannot expect financial institutions to offer quality service unless their employees are competent. Consequently, human resources are an essential aspect of the financial sector. Human resources consulting firms can help financial institutions achieve new levels of success by supporting them in recruiting and keeping competent employees. However, the increasing speed of globalisation and digitalization makes it challenging for human resource experts in the banking industry to maintain staff discipline. Companies have problems retaining employees. 10% of millennials in the financial services industry plan to remain with their current employer for a lengthy period of time, according to PwC. Due to the growing importance of digital in the business sector, human resource professionals seek to increase worker output. Increasing numbers of organisations are investing in enhancing their corporate cultures to attract younger personnel. Despite these challenges, HR professionals in the banking industry can utilise HR software to enhance their work and give superior service to employees. Artificial intelligence is a natural fit for the banking business because banks collect so much data on their customers. This is essential for the efficient running of the tax system and the prevention of fraudulent financial activities. It monitors how much cash enters and leaves client accounts. This information might be utilised by the AI to learn more about its consumers and discover spending patterns.

, Claims:CLAIMS

1. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms states it is the groundwork for future research.

2. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said it identify the elements that influence on Smart HR Management System.

3. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said this paper attempts to explain the concept, and assess its impact.

4. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said this paper has many applications.

5. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said that this paper discusses the major advantages and how it can improve.

6. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said that it is a smart system.

7. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said that we analyzed and discussed various aspects.

8. Artificial Intelligence and Cloud based Smart HR Management System in Financial Sector using Machine Learning Algorithms of claim 1, wherein said that in recent years, Smart HR Management System has become popular around the world.

Documents

Application Documents

# Name Date
1 202221062006-STATEMENT OF UNDERTAKING (FORM 3) [31-10-2022(online)].pdf 2022-10-31
1 Abstract.jpg 2022-11-03
2 202221062006-COMPLETE SPECIFICATION [31-10-2022(online)].pdf 2022-10-31
2 202221062006-REQUEST FOR EARLY PUBLICATION(FORM-9) [31-10-2022(online)].pdf 2022-10-31
3 202221062006-DECLARATION OF INVENTORSHIP (FORM 5) [31-10-2022(online)].pdf 2022-10-31
3 202221062006-FORM-9 [31-10-2022(online)].pdf 2022-10-31
4 202221062006-FORM 1 [31-10-2022(online)].pdf 2022-10-31
5 202221062006-DECLARATION OF INVENTORSHIP (FORM 5) [31-10-2022(online)].pdf 2022-10-31
5 202221062006-FORM-9 [31-10-2022(online)].pdf 2022-10-31
6 202221062006-COMPLETE SPECIFICATION [31-10-2022(online)].pdf 2022-10-31
6 202221062006-REQUEST FOR EARLY PUBLICATION(FORM-9) [31-10-2022(online)].pdf 2022-10-31
7 Abstract.jpg 2022-11-03