Browsing: changing

Enterprise storage infrastructure rarely receives attention until something goes wrong. Yet behind business applications, databases, analytics platforms, and digital services are complex systems responsible for storing, protecting, and making data available. As organizations accumulate larger volumes of information, modernizing these environments becomes an engineering challenge involving architecture, performance, connectivity, validation, and operational risk.

How has AI restructured work and employment at Anthropic? As a company at the frontier of AI adoption, Anthropic could be a leading indicator of how AI will shift work organization, hiring, and labor demand across the economy.

Generative artificial intelligence should not hold a place in general higher education. In an era where one-third of the U.S. stock market is owned by corporations heavily invested in AI, the push for the use of this technology has been ubiquitous. Even some at this paper have fallen to this corporate narrative, with The Cavalier…

If you’ve updated your iPhone to iOS 27, you might have already put Siri AI to the test or tried out some of Apple’s AI-powered photo editing features. But you may have also noticed something else: Your iPhone’s battery isn’t lasting as long between charges. While I can’t say this is a universal experience (I’m…

Artificial Intelligence (AI) has quietly moved from research labs into everyday apps. It now shapes how teams plan, design, build, test, and refine mobile products. Users expect apps to feel fast, intuitive, personalised, and secure, and AI in mobile app development is becoming one of the practical ways businesses meet that bar.

Search engines, social media and marketplaces like Amazon and Ebay, previously shaped how consumers discovered brands. But now AI-driven Large Language Models (LLMs) form another layer of that ecosystem, with more than 50% of online adults having used generative AI to find answers to questions

Flat fee, line item, sat next to the Zoom invoice and asked no difficult questions. The budget holders were happy, the IT team ticked a box – and somewhere in a product division, engineers started doing things with it that nobody in finance fully understood.