Java continues its fast and feature-packed release schedule, with JDK 25 delivering syntax improvements, simplifications, and performance enhancements. This article looks at the core updates in Java 25, with code and usage examples. JDK 25 is now the most current long-term support (LTS) release, and it’s packed with new features to explore. Simpler source files

Everything in Python is an object, or so the saying goes. If you want to create your own custom objects, with their own properties and methods, you use Python’s class object to do it. But creating classes in Python sometimes means writing loads of repetitive, boilerplate code; for example, to set up the class instance

Every vertical has its own unique technical challenges. In retail, for instance, incorrect or incomplete product data has for decades plagued the world’s largest retailers. Here are some of the retail nightmares faulty product data has caused: Retailers have tried and failed to alert shoppers to recalls of products they recently purchased.  Retail sites and

Two big tech events took place last week: Microsoft declared hundreds of millions of Windows 10 PCs dead as the dodo — at least when it comes to continuing support — while Apple introduced the world’s best-performing AI PCs, equipped with its industry-leading M5 processor. While it’s unwise to read too much into either event, it’s hard not

Amazon plans to use automation to replace more than 600,000 workers who would otherwise be hired in the United States by 2033, according to internal documents obtained by The New York Times. By that time, the company is expected to sell about twice as many goods as it does today. Amazon’s robotics team is reportedly

The AI adoption in China has reached unprecedented levels, with the country’s generative artificial intelligence user base doubling to 515 million in just six months, according to a report released by the China Internet Network Information Centre (CNNIC).  This dramatic expansion represents an adoption rate of 36.5% in the first half of 2025, positioning China

A few years ago, the business technology world’s favourite buzzword was ‘Big Data’ – a reference to organisations’ mass collection of information that could be used to suggest previously unexplored ways of operating, and float ideas about what strategies they may best pursue. What’s becoming increasingly apparent is that the problems companies faced in using

For CFOs and CIOs under pressure to modernise finance operations, automation – as seen in several generations of RPA (robotic process automation) – isn’t enough. It’s apparent that transparency and explainability matter just as much. Accounting firms and finance functions inside organisations are now turning to AI systems that reason, not just compute. One of

CIOs want to fix IT problems faster without expanding headcount, and many see AI adoption as the solution for their operations. For ages, they’ve used things like automation and self-help portals to handle this, so their teams can solve issues quickly. Now, AI is getting involved, and lots of companies are trying to use it

Modern LLM Agents can debug code, analyze spreadsheets, and book complex travel. Given those capabilities, it’s reasonable to assume that they could handle something simpler: waiting. Ask an agent to monitor your email for a colleague’s response or watch for a price drop over several days, and it will fail. Not because it can’t check email or scrape prices. It can do both. It fails because