INSIGHTS.
AI Venture Design
Designing Product Analytics for AI Agents
Track feature adoption, technical reliability, and user outcomes to align AI behavior with real business goals and prevent launch failures.
Data Modeling
Data Modeling for AI Agents pt.3: the Orchestration Layer
How to structure DAGs, SOPs, and procedural rules to guide planning agents.
Data Modeling
Data Modeling for AI Agents pt.2: the Context and Knowledge Layer
How to design a CKMS that turns raw data into actionable context for AI agents, with metadata modeling and vector storage.
Data Modeling
Data Modeling for AI Agents pt.1: the Systems of Record Layer
How to model core business and operational data for multi-agent AI systems.
Data Modeling
Data Modeling for Multi-Agent Architectures in AI Systems
How to structure data across Systems of Record, CKMS, and Orchestration layers to ensure multi-agent AI systems operate consistently, avoid duplication, and maintain contextual alignment.
AI Strategy
What is an AI strategy? And How Growth-Stage Companies in Dubai Can Get it Right
Learn what an AI strategy is and how growth-stage companies, startups, and digital brands can build an actionable roadmap to drive measurable business outcomes, maximise ROI, and scale successfully.
Data Modeling
Why E-Commerce Demand Forecasting Fails Without a Unified Data Model
Most e-commerce brands blame algorithms when forecasts miss. However, the real problem is fragmented data: orders, inventory, and supplier systems that don't speak to each other.