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Editorial

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Your Trusted Source for AI News
Editorial How to Turn Enterprise AI Into Business Value

The first wave of artificial intelligence (AI) adoption was driven by what large language models could do. The next will be defined by which AI systems businesses can operate reliably, affordably,…

AI in Hiring: Balancing Efficiency Gains with Risks
EditorialAI in Hiring: Balancing Efficiency Gains with Risks

With nearly 90% of major corporations relying on AI for initial candidate screening, there can be

How AI Is Reshaping Digital Trust and Data Curation
EditorialHow AI Is Reshaping Digital Trust and Data Curation

Business leaders have more information to work with than ever, and less certainty about how much of

A Practical Guide for Implementing AI in Business
EditorialA Practical Guide for Implementing AI in Business

Around 80% of high-budget AI initiatives never make it past the experimental phase. That represents

How Can Your Organization Build Truly Sustainable AI?
EditorialHow Can Your Organization Build Truly Sustainable AI?

AI adoption is accelerating, and so is its environmental cost. Data centers running AI workloads

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AI Technologies & Tools

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Regulatory & Compliance

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United Airlines Bans AI Agents From Booking Plane Tickets
Regulatory & Compliance United Airlines Bans AI Agents From Booking Plane Tickets

United Airlines has revised its official Contract of Carriage to explicitly ban artificial intelligence agents from completing ticket purchases or passenger check-ins. This policy shift marks a definitive boundary in the rapidly evolving landscape of automated travel assistance, where Large

Will Australia Lead the World in AI Criminal Liability Laws?
Regulatory & ComplianceWill Australia Lead the World in AI Criminal Liability Laws?

Under the proposed laws, AI companies must maintain rigorous security controls throughout the

How Can Global Governance Bridge the Widening AI Divide?
Regulatory & ComplianceHow Can Global Governance Bridge the Widening AI Divide?

Developing nations face the risk of being exposed to the dangers of algorithmic bias and

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