Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Breakthrough With Machine Learning in Real-Time Environments

A Breakthrough With Machine Learning in Real-Time Environments
View Sample PDF
Author(s): Jeffin Gracewell (Saveetha Engineering College, India)
Copyright: 2023
Pages: 18
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Aalborg University, Denmark), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch004


View A Breakthrough With Machine Learning in Real-Time Environments on the publisher's website for pricing and purchasing information.


Over the past few years, machine learning (ML) has seen potential growth globally and has contributed a huge role in technological advancements. With improved learning mechanisms, the ML algorithms have provided huge breakthroughs and enhancements in solutions for the real-time global challenges that persist. With large amounts of digital data evolving each day, ML algorithms have evolved as the right-to-go approach, to provide technological breaks though by overruling the traditional methods. The chapter aims to briefly review the overview of ML algorithms and highlight the different applications under various segments where ML has contributed to providing breakthrough solutions. The applications that are to be discussed from different segments are healthcare, businesses, government, security, agriculture, industry, and the educational sector. The objective of the chapter is to provide the readers with a better understanding of how ML applications are used in different segments and the advancements it brings to modern technology.

Related Content

Dina Darwish. © 2024. 48 pages.
Dina Darwish. © 2024. 51 pages.
Smrity Prasad, Kashvi Prawal. © 2024. 19 pages.
Jignesh Patil, Sharmila Rathod. © 2024. 17 pages.
Ganesh B. Regulwar, Ashish Mahalle, Raju Pawar, Swati K. Shamkuwar, Priti Roshan Kakde, Swati Tiwari. © 2024. 23 pages.
Pranali Dhawas, Abhishek Dhore, Dhananjay Bhagat, Ritu Dorlikar Pawar, Ashwini Kukade, Kamlesh Kalbande. © 2024. 24 pages.
Pranali Dhawas, Minakshi Ashok Ramteke, Aarti Thakur, Poonam Vijay Polshetwar, Ramadevi Vitthal Salunkhe, Dhananjay Bhagat. © 2024. 26 pages.
Body Bottom