Emerging AI industry trends, market forecasts, impact assessments, and strategic intelligence driving the AI revolution.
The intersection of movement and machine learning has moved from experimental workshops to a concrete partnership that promises to reshape how choreographers engage with their own archives.
The three tech giants that dominate the cloud and social‑media markets are all putting more money behind artificial‑intelligence projects this quarter.
The buzz around generative AI has spilled into every stage of the software development lifecycle, from drafting user stories to auto‑generating test suites. Vendors promise faster releases, fewer bugs and a leaner need for human oversight.
Companies that process employee expenses are now confronting a problem that looks straight out of a cyber‑crime briefing.
The web was built for people clicking links, scrolling feeds and typing queries. But as AI‑driven agents begin to browse on our behalf, the human‑first assumptions baked into the internet are being exposed as fragile.
Southeast Asia is turning its growing AI momentum into a concrete push for skills development. The region’s leaders argue that without a workforce equipped to handle AI, the technology’s promise will remain untapped.
AI sits at a crossroads. “Right now, I’d say AI is in what Doctorow calls the ‘good to the users’ stage,” the analyst observes, pointing to a moment when services still prioritize functionality over profit extraction.
Ed Zitron isn’t shy about his frustration. In an Ars Live recap titled “Is the AI bubble about to pop?
Inside AI Agents: A Technical Guide to Demystifying the Agentic Ecosystem promises to pull back the curtain on a topic many still call mysterious.
Global e-commerce sales surpassed $6 trillion last year, a milestone that underscores both the immense opportunity for retailers and the escalating scale of digital fraud.
The AI boom is putting unprecedented strain on data storage infrastructure, pushing enterprises toward a fundamental architectural shift.
The demand for practical AI applications is driving a significant shift in developer priorities.