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The inaugural edited volume published by Jupiter Publications Consortium (Open Access).
This edited scholarly work explores how Artificial Intelligence (AI) and Machine Learning (ML) reshape enterprise analytics, enabling predictive, prescriptive, and automated decision-making at scale. The volume consolidates foundational theories, applied research, and domain-specific case studies that guide organizational transformation through data-driven intelligence.
| eISBN | 978-93-86388-87-2 |
|---|---|
| Book DOI | https://doi.org/10.47715/978-93-86388-87-2 |
| Volume | I |
| Edition | First |
| First Published | 12th November, 2025 |
| Availability | Open Access |
| Copyright |
© 2025 Jupiter Publications Consortium All rights reserved worldwide. |
| Publisher |
Jupiter Publications Consortium 22/102, Second Street, Virugambakkam, Chennai – 600 092, India Email: director@jpc.in.net Website: www.jpc.in.net |
| Editors | Prof. (Dr.) S. Mohan Kumar · Prof. (Dr.) G. Balakrishnan · Dr. Joseph Bamidele Awotunde · Prof. (Dr.) K. P. Yadav |
A growing catalog of edited books and thematic series, integrating AI, analytics, and digital innovation across domains.
AI/ML-enabled analytics, forecasting, optimization, and decision support. Bridges theory, practice, and case studies on enterprise transformation.
Explores analytics-driven personalization, recommender systems, behavioural segmentation, and loyalty strategies in digital retail and e-commerce environments.
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