It’s Data Privacy Week, a good reminder of how our personal information is often at risk. While recent years have seen setbacks in privacy protections, Apple has made a positive move this week. The company announced that it is blocking mobile carriers from tracking your precise location through your network signal. This is a step
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Many AI projects struggle to move beyond the testing phase. There’s no one perfect way to turn AI ideas into useful tools for businesses. But two companies, Ernst & Young (EY) and Lumen, are showing different paths to success. EY takes a cautious, responsible approach, while Lumen pushes for a broader AI culture across the
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WhatsApp has rolled out a set of new security features called “Strict Account Settings” to help keep users safer. These features need to be activated manually and are designed to block suspicious files and attachments from unknown senders, prevent link previews that could lead to scams, and silence calls from unknown numbers. The goal is
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The U.S. Department of Energy (DoE) is quietly rewriting nuclear safety and security standards as part of a major push to develop new types of nuclear reactors. This move is tied to a program aiming to launch three experimental commercial nuclear reactors by July 4. A recent report from NPR reveals that these changes are
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Standard Chartered is taking a careful approach to using AI in banking. The bank faces tough questions before building any AI system. Can the data be used? Where can it be stored? Who is responsible once the AI is live? These privacy concerns are now central to how the bank develops and deploys AI technology.
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Artificial intelligence is making its way into US offices and factories, but its use isn’t uniform. Some industries and roles are adopting AI more quickly than others. A new survey from Gallup sheds light on how workers are engaging with AI, who benefits most, and where uncertainty remains about its presence in the workplace. Where
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A recent White House report draws a clear parallel between the industrial revolution of the 18th and 19th centuries and the current surge in artificial intelligence development. It highlights how AI is now shaping the future of economies, much like how new technologies once did. Today, AI is at the core of U.S. economic strategies,
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By 2026, many organizations will expand their teams of AI agents across different roles and functions. As this growth accelerates, a crucial challenge emerges: ensuring these agents can work together securely and reliably. Experts warn that without proper controls, AI-driven operations could lead to legal issues, fines, or leadership dismissals by 2030. To address this,
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Implementing AI at an enterprise level is more complex than just choosing the right model. Many pilots fail before reaching production because of overlooked architectural details. Turning prototypes into reliable business tools requires solving tough problems around data management and governance, not just model performance. The Common Pitfall: Building on ‘Pristine Islands’ Most AI projects
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A new report from Deloitte warns that companies are rolling out AI agents faster than their safety protocols can keep up. This rapid deployment raises serious concerns about security, data privacy, and accountability. Many businesses are moving from testing phases directly into full production without implementing enough safeguards. Rapid Adoption Challenges Traditional Risk Controls According
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