Who Controls Your AI? Designing for Choice and Resilience
How Enterprises Can Reduce AI Dependencies While Preserving Performance and Flexibility
14
Oct
14
Oct
Moving from Defense to Resilience
AI-Era Data Protection Against Ransomware Attacks
14
Oct
Building the Vector Database for Production
Reducing Retrieval Cost and Complexity Without Compromising AI Quality
13
Oct
Google Moves the Enterprise AI Competition Above the Model
Google’s agent strategy puts enterprise context and workflows above the model, creating a more durable source of platform dependence.
13
Oct
Is Maia 300 Really a Chip Announcement, or a Data Center One?
Microsoft measures Maia by the gigawatt, not the die, claiming 40% more tokens per megawatt from a rack built to fill halls rather than strand space.
13
Oct
Can AI Agents Truly Replace Mainframe Veterans? Analyzing Rocket’s Move
Rocket acquires Geniez AI to bring agentic operations to mission-critical systems, aiming to solve the skills gap and simplify mainframe management.
12
Oct
The Capital Behind the Clock: Applied Materials’ EPIC Center and the Economics of Semiconductor R&D
Why an equipment maker is funding a shared research center for competing chipmakers, and the ROI it expects.
12
Oct
CoreWeave Forge Expands the Resilience Boundary for Production AI
As CoreWeave connects more of the AI lifecycle through Forge and Registry, storage architecture and recoverability become critical to keeping production AI operational.
12
Oct
How Is Infinidat Changing Enterprise Storage Economics in the AI Era?
AI-driven market volatility is elevating the economic value of Infinidat’s established storage architecture, enterprise expertise and position within Lenovo.
12
Oct
ManageEngine: A Pragmatic Approach to AIOps and Observability
ManageEngine focuses on reliability layers, robust API hooks, hybrid support, and ephemeral AI agents designed to handle complex IT operations.