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Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation

Chandrasekhar Rao Katru1 , Sandip J. Gami2 , Divya Valsala Saratchandran3

  1. Independent Researcher, Indian Land, South Carolina, USA.
  2. Independent Researcher, Brambleton, Virginia, USA.
  3. Independent Researcher, Columbus, Ohio, USA.

Section:Research Paper, Product Type: Journal Paper
Volume-12 , Issue-12 , Page no. 25-32, Dec-2024

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v12i12.2532

Online published on Dec 31, 2024

Copyright © Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran, “Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation,” International Journal of Computer Sciences and Engineering, Vol.12, Issue.12, pp.25-32, 2024.

MLA Style Citation: Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran "Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation." International Journal of Computer Sciences and Engineering 12.12 (2024): 25-32.

APA Style Citation: Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran, (2024). Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation. International Journal of Computer Sciences and Engineering, 12(12), 25-32.

BibTex Style Citation:
@article{Katru_2024,
author = {Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran},
title = {Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2024},
volume = {12},
Issue = {12},
month = {12},
year = {2024},
issn = {2347-2693},
pages = {25-32},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5747},
doi = {https://doi.org/10.26438/ijcse/v12i12.2532}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v12i12.2532}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5747
TI - Advancements in AI/ML Algorithms and their Integration with Data Science for Enhanced Decision-Making and Automation
T2 - International Journal of Computer Sciences and Engineering
AU - Chandrasekhar Rao Katru, Sandip J. Gami, Divya Valsala Saratchandran
PY - 2024
DA - 2024/12/31
PB - IJCSE, Indore, INDIA
SP - 25-32
IS - 12
VL - 12
SN - 2347-2693
ER -

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Abstract

This article delves into the rapid advancements in AI/ML algorithms and their integration with data science practices to drive enhanced decision-making and automation. Recent breakthroughs in deep learning, reinforcement learning, and other AI/ML methodologies have transformed data-driven approaches across various domains. The paper emphasizes the fusion of AI/ML algorithms with core data science tools, including predictive analytics, big data processing, and automation frameworks such as TensorFlow, PyTorch, and scikit-learn. Through in-depth case studies, the article highlights practical applications in fraud detection, customer segmentation, and process automation, while examining both the benefits and challenges of these integrations. Additionally, it explores potential future trends, offering insights into how AI/ML and data science can continue to evolve and shape the landscape of decision-making and automation.

Key-Words / Index Term

Data Systems Design, Data Development, Business Intelligence (BI), Artificial Intelligence (AI), Machine Learning (ML), Predictive Modelling, Pattern Identification, Outlier Detection, Cloud Technology, and Distributed Systems

References

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