Technological Innovations and Sustainability in Life Sciences and Chemistry: Data-Driven Insights in Chemistry and Biotechnology in the Digital Era

Abstract The convergence of technological innovations and sustainability in life sciences and chemistry has reshaped the approach to global environmental challenges. By leveraging data-driven insights, tools such as big data analytics, artificial intelligence (AI) and the Internet of Things (IoT) have enhanced green chemistry, bioprocess optimization and sustainable agriculture. These digital technologies enable precise resource management, reduce energy usage and support the development of eco-friendly products. This paper examines how IT-driven solutions are applied in biotechnology and chemistry to advance sustainable development. Examples include computational modeling in green chemistry, AI-optimized biofuel production and precision agriculture. The study highlights how these innovations promote resource efficiency, reduce waste and address ecological concerns. Through data-driven processes, industries can align economic growth with environmental responsibility, offering a pathway to a sustainable future