Cost-Effective AI: Deterministic AI vs Machine Learning — When Traditional Algorithms Win

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Authors: Oleh Ivchenko
Cited by: 0

Abstract

Analysis of 156 enterprise AI implementations reveals that 34% of deployed ML systems would achieve equal or superior outcomes with deterministic algorithms at 85-95% lower costs. This research provides a 14-factor decision matrix for algorithm selection and introduces the Deterministic-First architecture pattern.

Fields of Study & Subjects

Artificial Intelligence Applications Impact of AI and Big Data on Business and Society Software Engineering Techniques and Practices

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Preprint