The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Impact of Generative AI on Industries and Organizations
|
|
Author(s): J. Krishna Charan (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, USA), Sudhanshu Chandra (Maulana Azad National Urdu University, India), V. Vaissnave (SRM Institute of Science and Technology, India), T. Ragupathi (SRM Institute of Science and Technology, India), Pamarthi Satyanarayana (Vel Tech University, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India)and T. C. Manjunath (Rajarajeswari College of Engineering, India)
Copyright: 2025
Pages: 20
Source title:
Humans and Generative AI Tools for Collaborative Intelligence
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada), V. Vinoth Kumar (Vellore Institute of Technology, India), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and Joseph Richards (California State University, Sacramento, USA)
DOI: 10.4018/979-8-3693-8332-2.ch022
Purchase
|
Abstract
At its core, generative AI uses machine learning techniques, generate outputs such as text, images, music, and even complex designs. Techniques commonly employed t high-quality content. Vast learn outputs that mimic or extend the patterns observed in the data. For instance, in the creative industries, generative AI can design logos, compose music, or generate photorealistic images, artistic expression creation. Technology sector, generative AI is accelerating product development and innovation. AI-driven tools can automate the design process, optimize software code, and even assist in creating new hardware prototypes. This automation not only speeds up development cycles but also reduces costs and enhances precision. For example, AI algorithms can variations, enabling broader refine products more effectively. The financial sector benefits from generative AI through improved risk management, fraud detection, generate predictive models, enhancing decision-making processes and risk assessment.
Related Content
|
Bikash Kumar, Rhythm Gaba, Rabi Shaw.
© 2026.
40 pages.
|
|
R. Velmurugan, J. Sudarvel, R. Bhuvaneswari, Ravi Thirumalaisamy.
© 2026.
28 pages.
|
|
J. Vijaya, Soumya Chandrakar, Pragya Shrivastava.
© 2026.
42 pages.
|
|
Yamini Ghanghorkar, Amruta Deshpande.
© 2026.
28 pages.
|
|
B. Bharathi, B. Kalaivani, Kasu Manaswi, Kantabathina Tejaswini.
© 2026.
28 pages.
|
|
Moumita Chowdhury, Aastha Agarwal, Alisha Parveen, Abhishek Mukhopadhyay.
© 2026.
42 pages.
|
|
Utkarsh Trivedi, Yash Vardhan, Piyush Kumar, Ansh Aryan, Parth Batra, Hitesh Mohapatra.
© 2026.
28 pages.
|
|
|