The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...
The evolution of artificial intelligence (AI) technologies has seen a massive expansion across various sectors, including healthcare, finance, software development and more. However, the success of ...
As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
Data serves as the foundational pillar for all sales and marketing endeavors, and the absence of first- and third-party insights would leave practitioners formulating campaigns and devising strategies ...
Barnwal headed the committee that developed the framework called Strategy for Artificial Intelligence in Healthcare for India (SAHI). This is the larger framework for using AI in healthcare, with an ...
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