Abstract: The research analyses the role of machine learning technology in facilitating process transformations between predictive analytics production and high-level automation across different application areas. The research analyses market prediction software and algorithm-controlled automation across different sectors that operate through learning platforms accepting data inputs. The basic technological element of machine learning operates as an essential element to enhance organizational performance with better executive decision quality. Advancements during the twenty-first century propelled rapid algorithm development because of improvements in automated vehicles, language translation solutions, and computer systems. The merger of data mining technology with artificial intelligence creates a full-scale transformation that impacts manufacturing system operations. Algorithmic processing by virtual platform vendors permits them to create predictive analytics software solutions through dataset examination. These information systems achieve higher efficiency by improving data collection operations combined with superior processing capabilities. Artificial intelligence focuses particularly on machine learning as a system that enables computers to develop knowledge autonomously by advancing their functions through automation and without direct human code instructions. Algorithms achieve greater strength in row-based learning methods because pattern-finding programs produce business-wide prediction forecasts. Industrial sectors transformed their operations through this technology to make business organizations capable of automation while achieving enhanced predictive processing. The popularity of machine learning spans entertainment, along with industrial and commercial domains, because programmers require limited skills to run it on various applications.
Artificial intelligence systems and machine learning systems merge to create basic industrial reorganization as companies implement them in their manufacturing operations. The current global market competition enables organizations to excel operationally through AI and helps them overcome essential operational obstacles. Industrial operations during past periods managed control regulation by using traditional methods in combination with a human workforce.
Keywords: Machine Learning, Deep Learning, Predictive Analysis, Artificial Intelligence.
|
DOI:
10.17148/IJARCCE.2024.131264
