The Power of Dell

The real test for healthcare AI isn’t whether it works in a demo. It’s whether it can safely operate inside a busy hospital, alongside clinicians, messy data, urgent decisions, and real patients. That’s why the rise of agentic AI in healthcare is worth watching closely. We’re moving beyond tools that simply summarize notes or answer…

The open web is quietly becoming a permissioned web for AI agents. For years, bots could fetch public pages with minimal friction. That assumption is starting to break. New web rules will soon block certain AI agent crawlers by default on ad-supported pages, meaning agents that browse in real time may no longer access parts…

The most expensive AI mistake may not be the model. It may be assuming people are the flexible cost. As AI adoption scales, many organizations are treating token spend as unavoidable while headcount becomes the easiest lever to pull. But that logic is starting to show cracks. Cutting teams can create short-term budget room. It…

AI in medicine just crossed a much more serious threshold. Not another demo. Not another prediction model. A drug candidate identified and designed with AI is now moving into Phase III trials for idiopathic pulmonary fibrosis, a severe lung disease with limited treatment options and a median survival of just a few years after diagnosis….

A $600M AI drug discovery deal points to something bigger than one partnership: AI is becoming part of the core R&D engine in healthcare. The real story isn’t just faster molecule design. It’s the shift from “AI as a research assistant” to “AI as a decision layer” across target discovery, compound generation, and clinical trial…

AI is moving from “helpful assistant” to operational backbone. The most interesting signal in enterprise AI right now isn’t another chatbot upgrade. It’s the shift toward AI systems embedded directly into daily workflows: code reviews, security remediation, partner support, device diagnostics, and internal knowledge work. That matters because the biggest productivity gains won’t come from…

AI personalisation doesn’t fail because the algorithms are weak. It often fails because the data underneath is fragmented. Many businesses want real-time recommendations, perfectly timed messages, and customer journeys that adapt automatically. But behind the scenes, customer data is often split across commerce systems, marketing tools, service platforms, loyalty programs, and browsing history. That creates…

AI-powered cyberattacks are moving from “future risk” to “next quarter problem.” A rare warning from leading intelligence agencies signals a major shift: upcoming AI systems could make offensive hacking faster, cheaper, and easier for less-skilled attackers. That matters because the target is not just corporate infrastructure. It’s also everyday digital life: – More convincing phishing…

AI chatbots are getting better at sounding human. That does not make them human. As conversational AI becomes more natural, there’s a growing risk that people start treating these systems as friends, therapists, advisors, or trusted confidants. The problem isn’t just emotional attachment. It’s misplaced trust. These tools can be useful, even powerful. They can…

The next big AI challenge may not be building smarter models. It may be making AI visible. Europe’s new AI content labelling playbook points to a shift that every organization using generative AI should pay attention to: transparency is becoming a design requirement, not a nice-to-have. The idea is simple but powerful: people should know…