Tech & Digital Transformation
A practical framework for deciding when AI agents may view balances, prepare payments, seek approval or execute tightly bounded transactions.
A practical AI agent access-control audit for exposed secrets, public repositories, cloud permissions, monitoring, credential rotation and containment.
A practical framework for preparing business data for AI agents, covering definitions, provenance, permissions, retrieval tests and human review.
AI-generated text and images are flooding publishing, marketing, and moderation workflows at the same time. That creates a practical problem for operators: how do […]
Europe’s car-rental and mobility market is being shaped by two very different funding stories: one company is financing electric fleet expansion, while another is […]
Microsoft and Meta are both signaling that AI is moving beyond chat interfaces and into agent-style systems that can take on tasks, not just […]
AI demand is no longer just a software story. The launch of AI Infrastructure Capital AG with €16 million to buy servers, place them […]
For hardware founders, speed is no longer just a product question. It now shapes how much cash gets tied up in inventory, how much […]
Cursor’s expansion in India is more than a regional pricing tweak. It is a signal that software companies are treating local purchasing power, support […]
Augmented reality in retail is often discussed as a flashy customer experience feature, but that misses the real business question: does it improve conversion […]
Two recent startup signals point to the same operational reality: AI is being used on both sides of security, and capital is still flowing […]
Apple’s smart glasses story is not just about another device category. It is about whether a mass-market hardware product can be designed, marketed, and […]