
Securing generative AI: what you need to do
IDC predicts that by 2025, 90% of global organisations will be staring down the barrel of a crippling IT skills

IDC predicts that by 2025, 90% of global organisations will be staring down the barrel of a crippling IT skills

A Gartner survey revealed that 55% of organisations that have previously deployed AI always consider AI for every new use

According to the recently released IDC report, Exploring the Opportunities and Challenges of GenAI: Implications for Asia/Pacific Governments, the Asia/Pacific*

Generative artificial intelligence (AI) is now on the Peak of Inflated Expectations according to Gartner’s Hype Cycle for Emerging Technologies,

In a recent Bain survey of health system executives, 60% cited rising costs as their greatest concern. Bain’s research shows

Gartner defines a large language model (LLM) as a specialised type of artificial intelligence (AI) that has been trained on

Discussions around generative AI are shifting as technologists and business leaders learn more about the potential of the technology. In

Enterprises are in the very early stages of generative AI adoption, but long-term fragmentation could result if a robust corporate

IEEE defines software engineering as the application of a systematic, disciplined, and quantifiable approach to the development, operation and maintenance

The research reveals wastewater surveillance combined with AI-based modelling can be a cost-effective early warning system.

According to Peter Krensky, director analyst at Gartner: “As machine learning adoption continues to grow rapidly across industries, DSML is

According to the Forbes Advisor survey, the most popular applications of artificial intelligence (AI) in business include customer service (56%),