Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)

Artificial Intelligence and Machine Learning Integrated for Innovation: The Future of Business Strategy

Authors
Sunitha Purushottam Ashtikar1, *, Geetha Manoharan1
1SR University, Warangal, Telangana, India
*Corresponding author. Email: sunithaashtikar@gmail.com
Corresponding Author
Sunitha Purushottam Ashtikar
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-678-4_16How to use a DOI?
Keywords
Artificial Intelligence; Machine Learning; Innovation; Business; Strategies; Organizations
Abstract

The implementation of the technologies of Artificial Intelligence and Machine Learning is inevitable in the contemporary changing environment of businesses as they promote innovation and influence strategic decision-making. This study encompasses the artificial intelligence and machine learning, their functioning, and their transforming the nature of the business operations. The in-sights based on data will be of paramount importance as the Artificial Intelligence and Machine Learning have a potential to transform strategy planning through the analysis of big data, pattern identification, and predictive models’ development. Artificial Intelligence and Machine Learning help businesses to get a competitive advantage, simplify their workflows, and become more efficient, generating new ideas based on real-life experiences. Research shows that Artificial Intelligence and Machine Learning may improve supply chain operations and customer service. Businesses cannot encourage an innovative spirit without combining creative thinking with data-driven analysis. Making decisions, creating products, and interacting with customers will all be drastically altered by Artificial Intelligence and Machine Learning. Responsible innovation is more likely to occur when companies think about the ethical and practical issues that come with using AI and ML on a wide scale. For companies to succeed in the dynamic future of business strategy, this chapter offers guidance on how to include AI and ML for innovators, strategists, and company executives.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)
Series
Advances in Intelligent Systems Research
Publication Date
28 May 2026
ISBN
978-94-6239-678-4
ISSN
1951-6851
DOI
10.2991/978-94-6239-678-4_16How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sunitha Purushottam Ashtikar
AU  - Geetha Manoharan
PY  - 2026
DA  - 2026/05/28
TI  - Artificial Intelligence and Machine Learning Integrated for Innovation: The Future of Business Strategy
BT  - Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)
PB  - Atlantis Press
SP  - 191
EP  - 203
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-678-4_16
DO  - 10.2991/978-94-6239-678-4_16
ID  - Ashtikar2026
ER  -