Key points are not available for this paper at this time.
This article discusses the potential of using digital technologies like blockchain, AI, IoT and big data analytics to improve resource efficiency, supply chain management, decision making and reduce fraud. It highlights how blockchain can create a transparent and tamper-proof system for tracking forest products from harvest to sale, reducing fraud and improving sustainability. The implementation of blockchain is argued to lead to substantial improvements in supply chain management through increased transparency and traceability. Moreover, AI, blockchain, IoT and advanced analytics are said to help optimize production and supply chains, detect fraud early, and improve forecasting and risk management for more efficient policies. The adoption of technologies like IoT, smart sensors and standardized data protocols is also outlined as a way to revolutionize sectors like agriculture, manufacturing and energy through enhanced productivity and efficiency. Emerging digital technologies like artificial intelligence, bioengineering, internet of things, data analytics and digital transformation offer immense potential to address global challenges and drive progress. Artificial intelligence and machine learning algorithms can be applied to improve healthcare, education, transportation and resource management by processing large datasets. When combined with IoT, these technologies enable precision agriculture, predictive maintenance, and smart infrastructure for sustainable development. Advancements in bioengineering such as synthetic biology, biomimicry and biomanufacturing aim to solve problems in medicine, energy and environment by emulating nature. IoT connects physical objects through sensors and networks to collect and exchange data, allowing devices, vehicles and systems to become intelligent and autonomous. Analytics on these Big Data sets from connected products, facilities and natural systems help reveal valuable insights for evidence-based decision making. Digital transformation of industries and business models leverages these technologies to enhance productivity, efficiency and consumer experiences through virtual and augmented realities, cloud computing and automated processes. However, responsible innovation through interdisciplinary research and governance is required to ensure such progress addresses societal needs, reduces inequalities and minimizes environmental impacts. Cross-sector collaborations involving industry, academia and policymakers can help maximize benefits while preemptively mitigating potential risks.
Sheikhbahei et al. (Thu,) studied this question.