Sustainability Measures: An Experimental Analysis of AI and Big Data Insights in Industry 5.0

• Published in: BIO web of conferences Vol. 86; p. 1072
• Main Authors: Ivanovich Vatin, Nikolai, Singh Negi, Gaurav, Sahithi Yellanki, V., Mohan, Chandra, Singla, Neeru
• Format: Journal Article
• Language: English
• Published: EDP Sciences 01-01-2024
• Subjects: big data; empirical analysis; industry 5.0; sustainability
• ISSN: 2117-4458; 2117-4458
• DOI: 10.1051/bioconf/20248601072

In the context of Industry 5.0, this empirical research investigates the concrete effects of artificial intelligence (AI) and big data insights on sustainability metrics. Real-world data analysis shows that during a two-year period, there was a 10% rise in the energy used by solar panels, a 6.7% increase in the energy consumed by wind turbines, and a 6.7% drop in the energy consumed by the grid. Paper trash output was reduced by 14% and plastic waste by 24% as a consequence of waste reduction initiatives. Product quality was maintained by AI-driven quality control, with quality ratings ranging from 89 to 94. Moreover, there was a 6% decrease in carbon emissions from industry, 3.1% from transportation, and 4.6% from energy production. These results highlight how AI and Big Data may revolutionize Industry 5.0 by promoting environmental responsibility, waste reduction, energy efficiency, sustainability, and high-quality products.