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Can UK government achieve ambition to become AI powerhouse?

Can the UK government achieve its AI ambitions?

The artificial intelligence opportunities action plan has been largely well received, but there are plenty of questions about how it will be achieved

Experts say ‘something has to break’ before banks slow IT-driven cost-cutting measures

Experts say ‘something has to break’ before banks slow cost cuts

Banks will cut costs until something breaks and they are forced to scale back, according to industry experts

Preparing for AI regulation: The EU AI Act

Preparing for AI regulation: The EU AI Act

The EU AI Act builds on existing cyber security, privacy and data governance regulations such as GDPR

CNI operators should ask these 12 questions of their OT suppliers

CNI operators should ask these 12 questions of their OT suppliers

The NCSC, CISA and others have set out 12 cyber security considerations CNI organisations and other users of operational technology should incorporate into their buying processes to force their suppliers to do better

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  • Why we need better cyber regulation to protect the UK from disruption

    We need better cyber regulation to protect the UK from disruption

    The Computer Weekly Security Think Tank considers how security leaders should best navigate the multitude of new national and multinational regulations affecting their work, and ensure their organisations remain compliant and protected.

  • The Data Bill: Computer evidence and the burden of proof

    The Data Bill: Computer evidence and the burden of proof

    Lords' debate on the government's new Data Bill has once again brought a focus on the law that supports the use of computer evidence in courts - and the need for urgent reform to avoid another Post Office scandal

  • AI gold rush in Singapore needs more talent than tech

    AI gold rush in Singapore needs more talent than tech

    Singapore is investing heavily in AI, but its success hinges on equipping its workforce with the skills to effectively apply this technology. This means prioritising training, addressing ethical concerns and fostering a culture of AI literacy

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