The Resolution Boundary Problem: The Missing Link Between AI Governance and Real World Execution

By Ashokkumar Ganesan, AI Governance & Decision Architecture Executive Summary Enterprises today are investing heavily in AI governance: policies, principles, committees, risk frameworks, and compliance programs. Yet AI systems continue to fail in …

Designing and Developing a Scalable Small Language Model (SLM) on Microsoft Azure

By Dr. Magesh Kasthuri Small Language Models, commonly called SLMs, are becoming a practical alternative to very large general-purpose models for enterprises that need sharper domain behavior, lower latency, better cost control, and stronger governance…

Large Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety

Over the past few years, progress in large language models has often been associated with a single word: bigger. Larger parameter counts. Larger training datasets. Larger computational budgets. And, with each new generation, stronger performance […]

Researchers: CIOs Should Define Enterprise Architect Roles More Clearly

By Holt Hackney Organizations should define the enterprise architect role more narrowly and tie it to measurable business outcomes, according to new research from Info-Tech Research Group. The research firm said many organizations continue to […]

The Resilience Paradox – Why Autonomous Operations Require a New Approach to Governance

By Christian Siegers, Principal, KPMG Advisory, Technology, AI & Data In conversations with platform teams, architects and operational leaders, I increasingly notice that the discussion is no longer about observability itself. Most organizations al…