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Blogs

AI agents are autonomous actors creating IAM risks. Enterprises must assign identities, enforce least privilege and adopt real-time, policy-driven governance to maintain control and accountability.

This blog explores how FinOps is evolving beyond cloud cost control to managing technology value across IT, SaaS and AI, with a focus on governance, unit economics and data-driven decision-making.

This article explains how 400G/800G Ethernet fabrics enable scalable, low-latency, high-bandwidth AI data center networks, addressing GPU traffic, congestion control and modern architecture needs.

Discover how Retrieval‑Augmented Generation (RAG) enables LLMs to use enterprise data through embeddings, vector search and retrieval for accurate, grounded AI responses.

Explore how companies can collaborate with OEMs to build powerful go-to-market strategies, accelerate growth and unlock new market opportunities through strategic partnerships and co-innovation

Moving from blanket controls to targeted, adaptive and scalable governance

IBM watsonx Code Assistant for Z brings AI to mainframe modernization, and HCLTech complements it with services and accelerators to drive scalable, low-disruption transformation
AI is transforming HPC into an ecosystem where storage drives performance, scalability and cost efficiency. Modern architectures are key to maximizing GPU utilization and accelerating insights.

This blog explores how browsers are evolving into enterprise control planes, enabling AI governance through policy enforcement, DLP integration and secure management of user and agent interactions.
A modern approach to private cloud networking that delivers secure multitenancy, operational efficiency and cloud-like flexibility with NSX VPCs.
As AI drives higher cooling demands, water use is surging in data centers. WUE is emerging as a key metric alongside PUE to manage sustainability, risk and long-term operational efficiency.
SRE teams are stuck in firefighting due to rising complexity and toil. Digital SRE uses AI and automation to reduce operational burden and shift focus back to proactive reliability engineering.