Author name: Molly Ferncombe

Fresh insights from MIT reveal that success in AI isn’t about chasing the newest technology or building complexity for its own sake. The most effective organisations leverage external expertise, embed AI deeply into workflows, and empower front-line managers to make decisions. By following this playbook, they consistently convert AI investments into measurable business impact, while others remain stuck in perpetual experimentation

Google’s AI Mode is transforming how people discover and interact with information online. By replacing traditional search results with AI-generated summaries, it reshapes digital visibility, content strategy, and customer engagement. For organisations, success increasingly depends on establishing authority, producing high-quality content, and being referenced within AI systems. These are the foundations for credibility and sustained market positioning

The long-held belief that larger artificial intelligence models inherently deliver better results is facing increasing scrutiny as organisations move into more specialised, professional domains. Recent advances across healthcare, financial services, and the legal sector point to a shift in AI strategy, one where professional-grade reasoning is beginning to outweigh generalised versatility. This evolution challenges the conventional wisdom that scale equals performance, highlighting that in high-stakes, regulated environments, context-specific expertise often proves more valuable than broad capability

Payments giant Visa has broadened its value-added services portfolio through the addition of ARIC Risk Hub from Featurespace, an advanced fraud prevention platform powered by adaptive artificial intelligence. The technology, designed to safeguard banks, acquirers and financial institutions against fraud and financial crime, builds profiles around genuine customer activity to maximise approvals while blocking malicious actors in real time