Eileen Yu

While there has been much discussion about the opportunities artificial intelligence (AI) will bring, in particular increased productivity, not enough has been said amongst businesses about its security and performance.

Some organisations may find it challenging to manage their environment as the number of artificial intelligence (AI) tools increase.

Enterprises are eager to reap the benefits that artificial intelligence (AI) promises to deliver, but many remain in the early stage of adoption and are mulling over how to get things moving.

Laws that stand firm and independent are essential for artificial intelligence (AI) to thrive, as is the need for the data centres that power the technology to minimise their impact on society.

Companies without the necessary infrastructure, including people, will face challenges moving beyond rudimentary use of artificial intelligence (AI) to extract more value.

Nudge users to take actions and make better decisions, so they can focus on what is more valuable. This is what some businesses want

As more organisations turn to (AI), specifically agentic AI, to improve their operational efficiencies, focus also has turned to the performance of the models that power AI workflows.

Have we finally come full circle with artificial intelligence (AI)? Probably not, not yet, at least. But there is somewhat of an awakening, a small market self-correction of sorts that highlights a need for both organisations and nations to rethink how they approach AI.

Organisations are starting to look more closely at how they can establish greater independence and better control over their technology stack, especially as they expand their artificial intelligence (AI) deployments to include agentic workflows.

Singapore is calling on businesses to be measured in their approach to artificial intelligence (AI) and look closely at the impact of AI to determine how they should leverage the technology.