Tech For Good

AI Healthcare Public Sector Artificial intelligence is moving rapidly from experimentation into frontline healthcare. But in the NHS, the central question is not simply what AI can do. It is whether it can be trusted when an inaccurate output could influence how urgently a patient is treated, where they are directed or what information is presented to the clinician responsible for their care. In most consumer applications, an answer that is plausible but wrong is frustrating.

Whether you’re loading up a classic arcade title on your phone or dealing out cards on a Friday evening, older formats are holding their own against modern releases. Retro gaming consoles keep flying off shelves, online versions of traditional games are pulling in huge numbers of players and quiz nights are as packed as ever. People keep returning to these games for reasons that go beyond fond memories. When you pick up a game you already know, you skip the learning curve entirely.

Running an online business in the Philippines today means operating in a market shaped by growing digital habits alongside long-standing preferences. Many consumers are already comfortable shopping through websites, social media, and mobile apps, and they expect a quick, easy experience at every step of the transaction.

AI Digital Transformation Public Sector Social Good Poor citizen experience is becoming one of the biggest risks facing public services. The Government’s State of Digital Government Review found that satisfaction with UK public services had fallen from 79% to 68% over the previous decade. It also found that satisfaction with 70% of the Government’s 75 highest-volume services was below comparable private sector benchmarks.

Standard commercial companies usually set up customer relationship management software with a simple goal in mind: convert leads into paying customers. Social enterprises face a much more complex operational structure. They must manage commercial sales alongside grant funders, community volunteers, and beneficiary outcomes, often within a single small team. When contact records and project metrics live across separate spreadsheets, communication breaks down quickly.

There has never been more health information gathered from the human body than there is today and rarely more confusion about what to do with it. More than 150 million smartwatches were sold worldwide last year, a great many of them now marketed on a seductive promise – that the device on your wrist will catch disease before it catches you.

AI Emerging Technologies Social Good The UK government’s massive £2.5 billion boost to establish the UK as a global AI leader has dominated recent headlines. Yet the news has been received with mixed reviews and some hand wringing. Is it a moonshot for UK companies? Will AI investments really drive UK productivity as promised? What will be the trade-offs – and, perhaps more importantly, who will benefit?

In recent years, online education continues to be popularised. Sources outline that the worldwide market for online learning has grown by 900% since 2000. Despite this growth, there is still a quiet assumption that online education is a lesser version of the on-campus experience – something you settle for when the real thing isn’t an option. This assumption doesn’t hold up against the research, but endures because much online learning feels like an afterthought.

Every month, I meet employees who tell me the same story: the payslip looks fine, but the money never quite lasts until life’s next surprise. On paper, many are just about managing but in reality, their finances are constantly one step behind their lives. As a practitioner working on financial wellbeing, I believe this timing problem is now a strategic issue for every business leader in the UK.

AI Digital Transformation Emerging Technologies Healthcare Science In June 2026, Anthropic announced the launch of Claude Science, its dedicated platform for scientific research. The reaction from biotech AI investors and founders was swift and largely uniform, with the consensus being that software is now fully commoditised and defensibility must shift to proprietary datasets and wet labs.