AI-Driven Intelligent Models for Business Excellence

AI-Driven Intelligent Models for Business Excellence

Samala Nagaraj, Korupalli V. Rajesh Kumar

Copyright: © 2023 |Pages: 267

ISBN13: 9781668442463|ISBN10: 1668442469|ISBN13 Softcover: 9781668442470|EISBN13: 9781668442487

DOI: 10.4018/978-1-6684-4246-3

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MLA

Nagaraj, Samala, and Korupalli V. Rajesh Kumar, editors. AI-Driven Intelligent Models for Business Excellence. IGI Global, 2023. https://doi.org/10.4018/978-1-6684-4246-3

APA

Nagaraj, S. & Kumar, K. (Eds.). (2023). AI-Driven Intelligent Models for Business Excellence. IGI Global. https://doi.org/10.4018/978-1-6684-4246-3

Chicago

Nagaraj, Samala, and Korupalli V. Rajesh Kumar, eds. AI-Driven Intelligent Models for Business Excellence. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-4246-3

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As digital technology continues to revolutionize the world, businesses are also evolving by adopting digital technologies such as artificial intelligence, digital marketing, and analytical methods into their daily practices. Due to this growing adoption, further study on the potential solutions modern technology provides to businesses is required to successfully apply it across industries.

AI-Driven Intelligent Models for Business Excellence explores various artificial intelligence models and methods for business applications and considers algorithmic approaches for business excellence across numerous fields and applications. Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Business Information Systems and Analytics (ABISA) Book Series

Preface

Acknowledgment

Chapters

Chapter 1

A CNN-Based License Plate Recognition Using TensorFlow and PySpark (pages 1-12)

Lavanya K, Bharathi K., Preethi Christina A., Satyam Chaurasia

The use daily of vehicles is rising exponentially and as a result there is an increase in crimes associated with it. Many vehicles are violating the rules of traffic and so an abnormal number of accidents occur leading to a rise in...

Chapter 2

An Enterprise Integration Method for Machine Learning-Driven Business Systems (pages 13-41)

Murat Pasa Uysal

There is an overestimation of the benefits that may be provided by machine learning (ML) applications. Recent studies report the failures of ML projects, inadequate return on investment, or unsatisfactory project outcomes. Software...

Chapter 3

Behavioral Analytics of Consumer Complaints (pages 42-67)

Md Shamim Hossain

In the current study, the author implemented cohort analysis methodology of machine learning (ML) to assess the rate of consumers' complaint retention behavior toward firms. The author obtained a three-year range of data on...

Chapter 4

Business Analysis During the Pandemic Crisis Using Deep Learning Models (pages 68-80)

Sudheer Devulapalli, Venkatesh B., Ramasubbareddy Somula

This chapter aims to investigate pandemic crisis in the various business fields like real estate, restaurants, gold, and the stock market. The importance of deep learning models is to analyse the business data for future predictions...

Chapter 5

Business Tech in Media and Entertainment (pages 81-94)

Sapna Chopra, Samala Nagaraj

Businesses are using innovation to communicate their story online so they can reach hundreds of thousands of users at once. The technology trend is probably here to stay. This means that innovation is still in its infancy and that...

Chapter 6

Customer Purchase Prediction and Potential Customer Identification for Digital Marketing Using Machine Learning (pages 95-111)

Malla Sudhakara, Bhavya K. R., M Rudra Kumar, N. Badrinath, K. Rangaswamy

In recent years, digital marketing has surpassed traditional marketing as the preferred technique of reaching customers. Researchers and academics may utilize it for social media marketing and for predicting client buy intent, among...

Chapter 7

Failed IPO Stories: Stories of Initial Public Offering (pages 112-123)

Swarnasree Vutharkar, C. A. Narasimha Swamy, Krishna Hitesh

Initial public offerings (IPOs) have long been a popular term on Wall Street and among investors. By selling shares of the Dutch East India Company to the general public, the Dutch are credited with launching the contemporary IPO....

Chapter 8

Fin-Cology or Tech-Nance?: Emergence of FinTech (pages 124-136)

Swarnasree Vutharkar, Rajesh Kumar K. V.

The words “financial” and “technology” are combined to form the phrase “fintech.” Despite being a wide expression with numerous interpretations, it typically refers to the growth of a sector when new technology use-cases are...

Chapter 9

Forecasting the Space Utilization Trend in Corporate Offices (pages 137-166)

Apurva Patil, Rajesh Kumar K. V.

The research is mainly focused on forecasting office space utilization trends in the organization using information such as office space count, space occupancy count, holidays, leaves. Space occupancy data is collected using PIR...

Chapter 10

How Customer Relationship Management Influences Business and How It Impacts Customer Satisfaction and Loyalty: How Has Technology Impacted CRM? (pages 167-181)

Anuska Sanyal, P Ritwik

In this chapter, the foundation of customer relationship management has been explored along with its history and how it has evolved in the past few years. Metrics to measure CRM are important to check its effectiveness. It also...

Chapter 11

Indian Economic Growth Concerning the Impact on FDI (Foreign Direct Investment): Impact of FDI on Indian Economic Growth in the Pharmaceutical Sector (pages 182-198)

Pingili Sravya, Rajesh Kumar K. V.

The present empirical study has explained the part of foreign direct investment (FDI) in India's economic growth in the pharmaceutical sector. The study has detailed information about the relationship, impact, and forthcoming...

Chapter 12

Local Brand Impact During COVID-19 (pages 199-208)

Sai Sreeja Nainala, Snehamayee Gowribidanur Matam

This chapter explores the role of local brands during the COVID-19 pandemic, the expansion of SMEs all throughout the pandemic, and the needs for all start-ups during the pandemic. The authors have also done research and written...

Chapter 13

Machine Learning-Based Stock Price Prediction for Business Intelligence (pages 209-226)

Bhavya K. R., Malla Sudhakara, G. Ramasubba Reddy, L. N. C. Prakash K., Rupa Devi B., Sangeetha M.

The act of digital marketing uses a variety of traditional methods such as analyst consensus, earnings per share estimation, or fundamental intrinsic valuation. Also, social media management, automation, content marketing, and...

Chapter 14

Transformation and Future Directions of the Integrated Chip (IC) Manufacturing Industry Using Artificial Intelligence Models (pages 227-242)

G. S. Siva Kumar, Suneetha P., Sailaja V., Srinivas Akula, Vasantha Lakshmi B., Ravi Kumar M.

The era of the semi-conductor manufacturing industry is from 1970 to recent times. During these decades, the manufacturing process has achieved its greatest heights. At present, it reached its saturation level in terms of VLSI, ULSI...

Back Materials

Compilation of References

About the Contributors

Index

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