The use of data has grown tremendously in the last two decades. As organizations, we use data to make all kinds of decisions. Yet, despite the value we’ve seen from data usage, there is a hesitancy to ...

In many fields of research, including drug discovery, the lack of sufficient high-quality data to train models is a major bottleneck in the development of impactful artificial intelligence (AI) tools.

Computers have been around for more than 100 years: From the introduction of tabulation machines by the company that became IBM, followed by minicomputers from companies like Digital Equipment ...

The escalating wave of cyber attacks targeting public and private sectors poses an unprecedented threat. This is readily apparent in healthcare, where securing patient data and building resilient ...

The Indian government has outlined plans to democratise AI infrastructure by expanding access to compute power, datasets and AI models, aiming to support startups, researchers and public institutions ...