Data literacy stories
Businesses must pair AI tools with skills and clear goals if they want the technology to improve output, not just drive adoption.
Children need stronger AI literacy and critical thinking, the foundation says, as it seeks to reach 100 million young people by 2028.
Employers are competing for finance chiefs who can judge AI risks and explain data models, as only a small pool can lead implementations.
Executives may face costly missteps as persuasive AI forecasts spread faster than their ability to test the assumptions behind them.
Holiday gaming and AI use are exposing more children to data risks, as one in five parents have never discussed online privacy.
Rising AI and governance demands are leaving many senior data executives overstretched, with 40% saying they are close to burnout.
Yet most London finance workers still want experienced colleagues to make the final call, especially on risk, compliance and trading decisions.
With AI tools spreading through the bank, 60,000 NatWest staff will now be trained to spot ethical risks and handle them responsibly.
Fraud checks and customer service will be sped up as Lloyds Banking Group adds more than 1,000 AI jobs and retrains staff.
The renewed tie-up gives Jaguar TCS Racing more AI support as it heads into Formula E's GEN4 era after winning the 2025/26 teams' title.
Weak governance leaves firms exposed to compliance risk, duplicate records and faulty decisions as data volumes keep rising across departments.
Poor data quality is driving costly errors, weaker customer service and missed revenue unless organisations keep records accurate and current.
Financial services firms risk stalled AI roll-outs and weaker supply chains unless governance and digital skills improve, experts warned.
Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.
Ad-hoc data work is draining staff time and slowing AI projects, as only a quarter of large firms have structured data programmes.
Budget pressure is pushing security teams to prove ROI, while integration and staffing gaps continue to shape buying decisions this year.
The move adds 50 creative technologists as clients scramble for staff who can turn AI trials into production work.
Most firms are using AI without the rules or training to support it, leaving privacy, security and integration risks unchecked.
Public trust in AI depends on clear policies, mandatory staff training and plain-language explanations of how systems use people's data.
Only four in 10 Singapore professionals say they can spot AI misinformation, prompting a year-long reading drive for better judgement.