The importance of digital transformation has accelerated manifold in the last few months as Covid-19 has brought to the fore the importance of digital technologies including artificial intelligence in addressing the healthcare crisis, restarting supply chains, enabling online education and almost every aspect of the economy. MeitY is organizing RAISE 2020 – Responsible AI for Social Empowerment 2020, a Global Summit on Artificial Intelligence to be held virtually from 5th Oct to 9th Oct 2020. Experts from Industry, Academia and Government from all across the world will be participating in this Global summit, which will bring together all stakeholders on Artificial Intelligence on one platform. AI has the power to solve many societal challenges and be an enabler for inclusion, there is a need to promote and identify such innovative solutions. In order to promote and showcase such innovative AI solutions developed by Indian startups, an AI Solution Challenge is being organized for Indian startups in the field of Artificial Intelligence.

In the engine room of the economy, artificial intelligence (AI) is being heralded as a driver of productivity and commercial growth. With an ability to process huge quantities of data quickly, the technology can increase efficiency, improve the decision-making process by introducing new insights and speed up delivery. AI changes the definition of "production" and promises to transform how we measure economic growth for countries across the world. Research by Accenture shows that, by 2035, AI could double annual global economic growth rates by creating a new virtual workforce to boost productivity, enhancing the skills and ability of existing staff and driving innovations in the economy. Over time, companies using AI will not only do things differently, they will also do different things.

Robotic welders are making manufacturing increasingly smart. Companies are increasingly using sensors and wireless technologies to capture data at all stages of a product's life. Optical scanners are used to spot defects in printed electronics circuits1. But big data is a long way from transforming manufacturing. Most companies do not know what to do with the data they have, let alone how to interpret them to improve their processes and products.