Impact of Artificial Intelligence in the Field of Automation

Shelvin Sunil Philip , Vaishnav Mohan , H Muhammed Firoz , Ivin Varghese George

Software testing, API automation, Car Automation, Artificial intelligence, machine learning

The use of machine learning algorithms, natural language processing, and other AI technologies to automate processes and tasks that were previously carried out by humans is a rapidly expanding field in artificial intelligence (AI). This technology is revolutionising how businesses run by boosting productivity, cutting expenses, and enhancing accuracy. Customers' questions are handled by chatbots powered by AI, and massive amounts of data are analysed using algorithms to help businesses make better decisions. AI can automate routine manual tasks like testing, assembly, and quality control in the manufacturing industry. AI can optimise logistics and supply chain operations by forecasting demand, controlling inventory levels, and enhancing delivery times. The software testing community is turning to AI to fill the gap since Aim can check the code for errors and problems without involving humans and much more quickly than humans. Car automation is also growing in the field of AI. It has the potential to revolutionize the automotive industry by improving safety, reducing traffic congestion, and increasing fuel efficiency. So, Artificial Intelligence plays an important role in automation.

Published Paper   E-Certificate

"Impact of Artificial Intelligence in the Field of Automation", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c528-c533, March-2023, Available :https://ijnrd.org/papers/IJNRD2303266.pdf

Volume 8 Issue 3, March-2023

Pages : c528-c533

Paper Reg. ID: IJNRD_189054

Published Paper Id: IJNRD2303266

Downloads: 000118856

Research Area: Computer Science & Technology 

Country: Kottayam, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303266

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303266

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition