• PEAK Matrix®
    Sep. 25, 2026

    Enterprises are increasingly embedding AI across customer-facing applications, business processes, and core technology platforms. Unlike conventional software, AI systems exhibit probabilistic and context-dependent behavior, creating new quality risks related to data integrity, model accuracy, hallucination, bias,…
  • Viewpoint
    Sep. 17, 2026

    As enterprises modernize legacy application estates to support digital growth, cloud adoption, and AI-enabled business models, transformation is becoming more complex. Migration alone often cannot address technical debt, fragmented architectures, hidden dependencies, data constraints, or the…
  • Technology Awareness Deep Dive
    June 29, 2026

    This report examines the evolution of data center cooling as it becomes a foundational enabler of AI-scale infrastructure by supporting the rapid growth of graphics processing unit-intensive workloads, High-performance Computing (HPC) workloads, and machine learning workloads. The…
  • PEAK Matrix®
    Nov. 13, 2025

    Enterprises are elevating quality from a downstream test phase to a strategic engineering discipline woven through the software development life cycle. As digital, cloud, and AI programs scale, expectations shift from defect detection to resilience, velocity,…
  • Viewpoint
    Nov. 10, 2025

    As enterprises accelerate digital transformation and embrace next-generation technologies such as AI, generative AI, and cloud-native platforms, managing quality at scale has become increasingly complex. Traditional tool-centric quality approaches fall short in addressing fragmented processes, inconsistent…
  • Viewpoint
    Feb. 22, 2019

    The rise of connected ecosystem and new experiences powered by technologies such as AR/VR are putting increased pressure on limited bandwidth in centralized computing architectures. Moreover, latency-sensitive applications such as virtual assistants and autonomous cars cannot…