Your Agents Need a Manager
By Shelly Palmer Gartner calls agent management platforms “the most valuable real estate in AI.” The firm projects enterprises will spend $15 billion on this category by 2029, up from less than $5 million today. […]
Applications & Technology
Data Centres Without the Compute
By Stuart Dee The future of data centres is often framed through dramatic and attention-grabbing concepts such as cryogenic cooling, orbital compute platforms, or even data centres in space. These ideas are technically fascinating, yet […]
Understanding the Data Center Building Boom
By Anne Wainscott-Sargent As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid. At Georgia […]
Why Application Modernization Fails When Data Is an Afterthought
By Aman Sardana, Senior Manager – Expert Application Architect, Capital One Application modernization – migrating and upgrading legacy systems to modern architectures – often fails when organizations neglect data considerations. Accor…
Spec-Driven Development is Better With Core Architecture
By Paul Preiss A new term has arrived in the software development conversation: spec-driven development (SDD). Tools such as Kiro (AWS’s agentic IDE, released 2025), spec-kit (GitHub’s open-source CLI, released September 2024), and the Tess…
Oracle APEX and Artificial Intelligence: How a Low-Code Platform Is Arguably Changing the Rules of Enterprise Development
By Dmitry Borisov Over the past two years I’ve watched a clear shift in how companies approach artificial intelligence. Not long ago, AI projects were mostly the domain of large tech firms with deep budgets […]
Invisible Work in the Age of AI: The New Bottleneck in Architecture and Delivery
By Krasimir Baylov, Managing Partner, Intway When Productivity Becomes Misleading Modern IT organizations are delivering faster than ever. AI-assisted development, low-code platforms, and automation pipelines have significantly increased how quickly fe…
Stop Marrying Your Model: Why Enterprise AI Needs a Multi-Model Architecture
By Eric Barroca Enterprises are falling in love with their models. A frontier LLM benchmarks well. Developers tune prompts around its response patterns. Business users grow comfortable with its outputs. Confidence builds. Workflows move into […]
Transforming Cloud FinOps with Autonomous and Agentic Intelligence
Dr. Magesh Kasthuri Cloud cost management has become an increasingly significant challenge for organisations transitioning from traditional IT to digital environments while migrating workloads to the cloud. The dynamic nature of cloud services, combine…
CIO Priorities 2026: AI Value and Financial Discipline Define IT Leadership
By Holt Hackney IT leaders in the Asia-Pacific region are entering a year defined by faster adoption of artificial intelligence, increased cost sensitivity and greater accountability to executive leadership, according to a report by Info-Tech […]
Enterprise Agentic AI Architecture Design Guidance – Part 2
… Protocols, Evaluation, Infrastructure & Security By Lavanya Subbarayalu, Principal Solution Architect, PwC Designing Enterprise Agentic AI Systems Part 2 covers the operational and governance layers of agentic AI systems: how agents communi…
Enterprise Agentic AI Architecture Design Guidance (Part 1)
… Agent Goals, RAG, Agent Architecture & Models By Lavanya Subbarayalu, Principal Solution Architect, PwC Designing Enterprise Agentic AI Systems Enterprise adoption of Agentic AI requires more than connecting large language models to tools. …