The AI-Native Enterprise: Beyond Models to Intelligence
Why enterprise AI is shifting from technology projects to an operating model: intelligence layers, agents, knowledge architecture, governance and hybrid teams.
Read · 10 min →AI
AI strategy, agents and edge AI, and what they change for organizations.
Transforming Healthcare: AI, Telemedicine and Data
How AI, telemedicine and digital records are changing healthcare delivery, the benefits, the barriers to adoption and what comes next.
Read · 9 min →Edge AI: Faster Decisions by Processing Data Locally
What edge AI is, how model optimization makes it run on small devices, where it is used, and the market, security and privacy trade-offs.
Read · 8 min →Emerging Tech: AI, Quantum Computing and Biotech Trends
Key trends in AI, quantum computing, biotechnology and other emerging technologies, and the opportunities and risks they bring for industry.
Read · 6 min →Human-Centric Growth in the Age of AI
Why human development, capacity building and technology together drive inclusive, resilient growth, and the metrics and programmes that show it works.
Read · 6 min →AI Model Distillation: The DeepSeek and OpenAI Dispute
What AI model distillation is, why DeepSeek’s alleged use of OpenAI outputs sparked a legal debate, and what it means for IP and AI development.
Read · 7 min →AI and Blockchain at the Kumbh Mela: Crowds at Scale
How AI and blockchain were planned for crowd management, safety and services at the 2025 Kumbh Mela, one of the largest gatherings on earth.
Read · 3 min →Building an AI Strategy: Vision, Use Cases, Execution
A four-step approach to an enterprise AI strategy: define the AI vision, prioritize use cases, put the enablers in place and execute with monitoring.
Read · 2 min →