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The Hormuz crisis proves it, our supply chains are dangerously exposed
Orders by Iran to block the Strait of Hormuz are causing huge disruption to global supply chains. The volume of ships able to pass through the route – which a fifth of the world’s oil normally travels through – has…
March 30, 2026: The Hormuz crisis proves it, our supply chains are dangerously exposedHow to create AI agents with Neo4j Aura Agent
Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to production using low-code and autogeneration tools. Let’s dive in. You may be hearing a lot of buzz about knowledge graphs, GraphRAG, and…
March 19, 2026: How to create AI agents with Neo4j Aura AgentModel Context Protocol: the backbone of agent connectivity
Artificial intelligence is moving fast, but enterprises adopting it for their workflows often stall at the same stage: integration. With the hype showing no sign of slowing, organisations are rapidly experimenting with multiple language models and AI agents, each tied…
March 18, 2026: Model Context Protocol: the backbone of agent connectivityContext, not compute, will define the next generation of intelligence
For years, AI progress has been measured by scale: larger models, bigger datasets, longer context windows. Each new breakthrough promises that if we simply feed systems more data, we’ll get sharper insights. Yet, at least outside of training, that assumption…
February 28, 2026: Context, not compute, will define the next generation of intelligenceExposing the risks of customer churn using a connected graph
Australian businesses face an uphill battle and escalating costs when it comes to maintaining customer loyalty. Customer churn is a persistent threat to growth and revenue in today’s competitive landscape. The need to replace lost customers is not only costly…
January 28, 2026: Exposing the risks of customer churn using a connected graphPrioritizing data lake information to build a knowledge graph, aka “Don’t boil the (whole) lake”
If you lead data or technology for a large enterprise, you have probably lived through the same sequence of data migrations. Data warehouses gave way to Hadoop, then data lakes, then lakehouses. Each promised consolidation and better analytics. Each required significant reshaping and cost.…
January 27, 2026: Prioritizing data lake information to build a knowledge graph, aka “Don’t boil the (whole) lake”Graph technology and AI trends 2026: India’s AI race – strong momentum, slow payoff
India’s AI journey is moving beyond experiments to real-world value. By 2026, AI agents will act as trainees needing human guidance. Context engineering bwill be key for accuracy. Data retrieval will become smarter. Graph databases and adaptive systems will support…
January 20, 2026: Graph technology and AI trends 2026: India’s AI race – strong momentum, slow payoffTrusted AI is the new differentiator
As India accelerates its AI journey, the conversation has shifted from everyday personal use to enterprise-scale deployment across banking, telecom, e-commerce, and public sector innovation. We have already seen early examples, from SBI using AI-driven insights to improve fraud detection,…
December 26, 2025: Trusted AI is the new differentiatorGraph databases: powering ethical and context-aware AI for India’s digital future
Artificial Intelligence (AI) is woven into the fabric of India’s rapidly digitising economy. Banks deploy AI to flag fraudulent transactions in seconds, so do telcos use AI to deliver warnings on spam calls? Health-tech startups bring diagnostics to rural clinics,…
December 24, 2025: Graph databases: powering ethical and context-aware AI for India’s digital future