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 […]

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…

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 […]

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…

Why Most App Modernization Efforts Fail, and How a Capabilities-Driven Strategy Can Stop the Billion-Dollar Bleed

By Melissa Roberts, Managing Consultant & Strategic Business Architect, LiminalArc Application modernization continues to be in the forefront of organizations’ concerns as they struggle to respond to the undeniable acceleration of digital transform…

AI Agent Success Doesn’t Depend on the Tool, but the Architecture

By Alessandro Lanteri Organisations are starting to adopt AI agents to rethink how work gets done. The promise is compelling: redefine workflows and bring new adaptability, scalability, and precision to decision-making. Yet many deployments stall […]

AI Agent Success Doesn’t Depend on the Tool, but the Architecture

By Alessandro Lanteri Organisations are starting to adopt AI agents to rethink how work gets done. The promise is compelling: redefine workflows and bring new adaptability, scalability, and precision to decision-making. Yet many deployments stall or [….