Principles by Machine: Why Speed Is Not the Same as Value
By Stuart Dee With the rise of large language models and agentic AI, the first instinct for many enterprise architects is an obvious one: how can this help us do our jobs better? It is […]
Applications & Technology
The Hidden Currency of AI: Why Tokens Make or Break Enterprise Systems
By Chiranjib Ghatak, Senior Enterprise Architect, Wipro | Dubai, UAE Last year, a financial services team I worked with built an AI-powered document assistant for their operations staff. It worked beautifully in testing. Then they […]
Designing an Enterprise-ready Framework for Retail Loss Monitoring
By Pranit Prakash Overview Retail surveillance has evolved significantly over the past few years. What was once largely a CCTV-led, reactive monitoring capability, is now becoming a broader operational intelligence ecosystem. Cameras remain a […]
Business Models Should Drive Every Context View and Decision
By Paul Preiss, of Iasa Global Most architects treat the context view as a technical artifact. Draw the system box. Add some arrows. Label the external systems. Done. But a context view that isn’t anchored […]
Key Considerations When Allowing a Vendor to Train Its AI Models on Customer Data
By Katrina Slack and Vito Petretti Most services agreements for vendor-provided technology services contain standard provisions allowing vendors to use customer data and data generated through the provision of services to improve and enhance service […]
What Corporate Leaders Misunderstand About Cybersecurity Frameworks
By Steve Durbin, Chief Executive, Information Security Forum Cybersecurity frameworks help, but a framework turned in for a score feels more like a report card than an improvement path. On paper it can look well […]
The Adaptive Extension Framework: Modernizing Core ERP Foundations
By Dmitry Borisov Introduction: The Architectural Dilemma and the Limits of Existing Paradigms In the practice of designing and developing large distributed enterprises, modernizing user interfaces and integrating cognitive AI computing have become the…
The Alignment Gap: Why It Exists, and How Enterprise Architecture Closes It
By Santi Chakrabarti Strategic programmes rarely fail at the start. They fail gradually, quietly, despite compelling business cases, enthusiastic sponsors, and significant investment. Technology initiatives start on time and within budget, and still fa…
Why Senior Engineers Are Looking Hard at Architecture Right Now
By Paul Preiss, of Iasa Global I’ve been having a lot of conversations with senior developers and engineers over the past year or so. Good conversations. The kind where people are actually trying to work […]
The Chief Data Privacy Officer as the Architect of Ethical AI, Responsible AI, and Enterprise AI Governance
By Dr. Magesh Kasthuri Artificial intelligence is now shaping how organizations make decisions, deliver services, manage operations, and engage with customers. Yet the more deeply AI becomes embedded in business processes, the more essential it […]
An AI-Driven Lakehouse Architecture for Scalable Healthcare Analytics, Reporting, and Machine Learning
By Vinodh Padmanaban Introduction The modern healthcare ecosystem is increasingly dependent on data-driven decision-making, requiring architectures that can seamlessly handle massive data volumes, enforce strict regulatory compliance, and support evolv…
AI is Coming for Hollywood And It Won’t Stop There
By Dr. Robert E Furey A few decades ago, I was teaching a course covering science and technology in society. I wanted to show students a world where anything will be possible, both marvelous and […]