AI articles and updates from technine.io.
Many Hong Kong companies start AI in a simple way. Someone uploads a PDF and asks for a summary. A sales colleague uses a chatbot to draft customer replies. A manager asks AI to turn meeting notes into action items. The issue is usually not
AI agents are moving beyond answering questions. Learn how SMEs can use them to reduce daily admin, customer follow-ups, reports and approvals while keeping human oversight.
For years, businesses assumed that a customer would search on Google, compare result titles, click an article, and then learn from the website.
A Hong Kong retailer wants AI to organize WhatsApp inquiries, member data and online shop orders. An education provider wants AI to match students with courses. A professional services firm wants AI to prepare first draf
Google I/O 2026 signals a shift from search rankings to AI answers, requiring Hong Kong businesses to rethink SEO, GEO, data integration and AI workflows.
Hong Kong Budget 2026 signals a shift from I&T seeding to commercialization, using AI+, Northern Metropolis funding, industry platforms, and patient capital.
Hong Kong’s Policy Address 2025 sets out AI, data, R&D, Northern Metropolis, low-altitude economy and I&T infrastructure measures.
A practical overview of the data privacy risks created by generative AI, including training data exposure, prompt attacks, regulation, governance and enterprise controls.
Context Coding and Vibe Coding shift software development from syntax writing to AI-assisted dialogue, natural-language logic design and faster validation.
Agent2Agent (A2A) is an open protocol that helps enterprise AI agents discover, communicate and collaborate across platforms and systems.
Learn how AI agents differ from traditional AI through autonomy, perception, planning, learning, collaboration and enterprise use cases.
A business overview of Agentic AI, including autonomous decisions, task decomposition, self-improving systems, multi-agent collaboration and industry transformation.
