With many AI projects failing, there’s no one-size-fits-all formula for advancing AI proofs of concept to real-world use in the corporate world. But two companies, Ernst & Young (EY) and Lumen, have had success — though they’ve tackled the issue in dramatically different ways. EY, being in a regulated space of finance and tax, has

The popular messaging app WhatsApp got a range of new security features Tuesday with the launch of “Strict Account Settings.” The security changes, which must be turned on, allow the app to block files and attachments from unknown senders, disable link previews, and silence calls from unknown callers. The goal is to reduce the risk

The US Department of Energy (DoE) program that would see three new experimental commercial nuclear reactors launched by July 4 is the driver behind the secret rewriting of nuclear safety and security standards, says a report released Wednesday by NPR. It said, “sweeping changes were made to accelerate development

For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and

Artificial intelligence has moved into the US workplace, but its adoption remains uneven, fragmented, and tied to role, industry, and organisation. Findings from a Gallup Workforce survey covering the period to the end of December 2025 show how employees use AI, who benefits most from it, and where areas of uncertainty remain. The findings draw

A White House paper titled “Artificial Intelligence and the Great Divergence” sets out parallels between the effects of the industrial revolution in the 18th and 19th centuries and the current times, with artificial intelligence positioned as guiding the way the world’s economies will be shaped. Artificial intelligence now sits at the centre of US economic

2026 will see forward-thinking organisations building out their squads of AI agents across roles and functions. But amid the rush, there is another aspect to consider. One of IDC’s enterprise technology predictions for the coming five years, published in October, was fascinating. “By 2030, up to 20% of organisations will have faced lawsuits,

Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in

A new report from Deloitte has warned that businesses are deploying AI agents faster than their safety protocols and safeguards can keep up. Therefore, serious concerns around security, data privacy, and accountability are spreading. According to the survey, agentic systems are moving from pilot to production so quickly that traditional risk controls, which were designed

The traditional video surveillance model is reactive by design. Companies treat it like an insurance policy, installing cameras and paying for monitoring in the hope they’ll never be needed. When problems do arise, security teams spend hours reviewing footage to understand what already occurred. That model is starting to break, and ironically, not because organizations