If IT execs want to avoid doing business with genAI firms that help make weapons, that demand needs to go into RFPs. It’s the only effective way to change policy. Every enterprise CIO knows they ...

In a world gone mad over GPUs for AI acceleration, FPGA processors are seeing limited adoption in the data center for genAI workloads, with their primary use still in embedded markets and edge AI ...

MUMBAI, Feb 10 (Reuters) - The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India's $254-billion software by 43%-45% over the next five years ...

MUMBAI : The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India's $254-billion software by 43 per cent-45 per cent over the next five years ...

The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India's $254-billion software by 43%-45% over the next five years, according to a survey by ...

NTT DATA, a global digital business and IT services leader, has today launched a new global research report uncovering the use of generative AI (GenAI) in the banking sector worldwide. The report ...

Research from NTT DATA finds that as GenAI adoption rises, new pressures on return of investment are at the forefront of the challenges facing the banking industry. NTT DATA, a global digital ...

TOKYO — NTT DATA, a global digital business and IT services leader, has today launched a new global research report uncovering the use of generative AI (GenAI) in the banking sector worldwide. The ...

MUMBAI (Reuters) - The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India's $254-billion software by 43%-45% over the next five years, according to a ...

Pharmaceutical companies are eagerly pursuing GenAI products and use cases to generate ... Retrieval-augmented generation (RAG) is another key component. It combines LLMs with a knowledge database ...

Pharma companies are moving their Generative AI (GenAI) investments from pilot to production through exploration, experimentation, industrialisation/scaling, adoption, and monetisation.