Addressing Social Challenges With AI

According to a new report from Amazon Web Services (AWS), an Amazon.com company, small businesses in India that adopt cloud-enabled technologies are predicted to generate up to 1.6 trillion in annual productivity gains and support 45.9 million jobs in the healthcare, education, and agricultural sectors by 2030, accounting for 9% of all jobs in India.

The analysis, produced by multinational professional services company Accenture, predicts a cloud-enabled economy [1] in 2030, when 90% of all firms would have adopted at least a basic level of cloud technology. It does this by using the Organisation for Economic Cooperation and Development’s (OECD) definition of cloud adoption levels.

According to the survey, 28% of Indian firms currently employ at least the most fundamental forms of cloud computing, such as web-based email or cloud storage.

The report, however, emphasises greater opportunities to be unlocked with the adoption of advanced applications like the use of artificial intelligence (AI), including generative AI, and machine learning (ML), tailored for complex tasks like fraud detection or supply chain forecasting. Intermediate applications like the use of customer relationship management or enterprise resource planning tools are also highlighted in the report.

According to the report, small firms may significantly improve the economy and society by migrating to the cloud. Moving to the cloud can help with remote medical consultations, better access to education, improved precision agriculture, and other things that help achieve the Sustainable Development Goals (SDGs) of the United Nations.

Through the use of cloud technologies like AI, small businesses that are cloud-enabled assist in tackling issues related to food shortages by employing data-driven practises. According to the report, small enterprises in India have the potential to raise agricultural output by 1.1 trillion rupees annually.

Additionally, one in nine farms are expected to employ precision agriculture technologies to increase productivity by 2030, a 300% increase from the current usage rate.