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Nisha Krishan
Vice President
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Dev Das V
Senior Analyst
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Paritosh Doshi
Senior Analyst
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PEAK Matrix® Sep. 25, 2026
Quality Engineering (QE) Services for AI Applications and Systems PEAK Matrix® Assessment 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,… -
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…
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Technology Awareness Deep Dive June 29, 2026
The Heat Barrier: How Cooling Will Define the Future of AI Infrastructure
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
Enterprise Quality Engineering (QE) Services PEAK Matrix® Assessment 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
Reimagining Enterprise Quality: Leveraging AI-infused Quality Engineering Platforms for Competitive Advantage
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
Edge Computing
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…
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