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

¹ Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, Russian Federation
² Lovely Professional University Phagwara, Punjab, India,
³ Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India, 248007
⁴ GRIET, Bachupally, Hyderabad, Telangana, India
⁵ K R Mangalam University, Gurgaon, India
⁶ GD Goenka University, Sohna, Haryana, India

^* Corresponding author: vatin@mail.ru

Abstract

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.