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Quote of the day by Anduril CEO Palmer Luckey: 'There's no moral high ground in using inferior technology' — challenging the dominant narrative over AI use in defense
By Keumars Afifi-Sabet published
The ethics of AI usage matter less than using the best possible tools, according to Anduril CEO Palmer Luckey.

How AI fraud rings are taking on retail
By Dany Naigeboren published
AI-powered fraud rings are automating scams faster than retailers can detect or stop them.

Phishing the agent: Why AI guardrails aren’t enough
By Jeremy Kirk published
AI agents are handed the keys to the kingdom but can't always be trusted.

How AI can unleash the next generation of European ‘soonicorns’
By Roman Thompson published
The question now is no longer whether Europe can produce the next wave of ‘soonicorns’, but whether decision-makers are willing to abandon outdated models and build for an AI-native future.

The AI second brain: The future of knowledge work
By Brian Madden published
The knowledge work is where AI matters most

Self-driving cars aren’t the challenge – proving how they think is
By Dr Ian Horrocks published
From healthcare to law, opaque AI systems still lack accountability required for critical real-world decisions.

When trust becomes the attack surface
By Tom Exelby published
Following the ransomware attack involving stolen student data, the company behind Canvas has now confirmed it paid the hackers in exchange for the return of the information.

Rethinking data science skills in the AI era: Practice still matters
By Michelle Keim published
AI puts skill development at risk for data scientists by minimizing hands-on practice and repetition.

When AI agents start shopping for us, retail’s identity stack needs a rewrite
By Nicole Jass published
As AI shopping agents rise, retailers must rebuild trust, identity and fraud systems.

Quote of the day by Amazon CEO Andy Jassy: 'There is no compression algorithm for experience' — wisdom on avoiding shortcuts in life and business
By Keumars Afifi-Sabet published
At a time of heavy automation and job losses, enterprises must also consider how useful individuals with real, practical experience might be
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