Re‑Architecting Capability for AI: Governance, SMEs, and the Talent Pipeline Paradox
by Muhammad Zaid Musaddeq Abstract AI adoption is accelerating across…
Artificial Intelligence
Agentic AI and the Future of Enterprise Architecture
For the past few years, AI in the enterprise has largely been about content generation and assistance. Smarter search. Auto-generated descriptions. Recommendations surfaced at the right moment. These are genuinely useful capabilities, but they…
The New Software Economics: Earn the Right to Invest Again, in 90-day Cycles
By Leonard Greski, Chief Scientist, LiminalArc Twenty-five years of change in the cost structure of technology created a minefield of risk as executives fund software application development, regardless of whether the software is sold or […]
Enterprise Architecture in the Age of AI: More Critical Than Ever
There is a growing question taking hold in technology circles these days: Can’t we just use AI to build all these expensive SaaS tools instead of buying them all the time?
Research Highlights Who Wins, Loses in AI-Influenced Job Market
New research from Washington University in St. Louis examines how workers’ perceptions of artificial intelligence (AI) have shaped their response to the emerging technology. The research also highlights how these differing responses could affect long-t…
The Architecture of Trust: How Enterprises Can Safely Deploy PII in LLMs
By Stuart Dee For much of the past decade, storing personally identifiable information within a large language model was regarded as something no responsible organisation should attempt. Early models functioned as vast statistical engines, absorbing […]
Architectural Accountability for AI: What Documentation Alone Cannot Fix
By Dr. Nikita Golovko, AI Architect, Siemens Your AI system may already have an architecture document. It lists the data sources. It describes models. It defines the KPIs the system is meant to improve. Someone […]
Planview and Ozmosi: Bringing AI-Powered Insight to Pharmaceutical Portfolio Decisions
Pharmaceutical organizations are under increasing pressure to make faster, smarter R&D decisions in an environment defined by complexity, uncertainty, and constant change. Making the environment even more vulnerable – and volatile – is the looming “patent cliff” for some of the world’s best-selling drugs, which some analysts predict will trigger up to $350 billion in losses by 2032, according to CNBC.
Lentech Names Mike Majarov Chief Innovation, IT Officer
Lentech has appointed Mike Majarov as chief innovation and information technology officer, a newly created role aimed at strengthening the company’s technology strategy and supporting its growth in the government contracting market. Majarov will overse…
Rethinking Business Processes for the Age of AI
By Vasily Yamaletdinov, Enterprise Architect, Raiffeisen Bank Over recent decades, the concept of a “business process” has been the cornerstone of any organization’s operating model, defining an ordered sequence of interconnected acti…
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. […]
How can AI augment the Architect for scale and productivity improvements?
Navigating and creating value within Business, Enterprise, Solution and Technical…