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6 trends shaping IT automation in 2026 and beyond
Enterprises are expanding their use of automation in IT, where AI is changing the landscape with trends such as agentic workflows...
Qualcomm, OpenAI, IBM target AI infrastructure efficiency
An acquisition, a planned chip and a new transistor design could mitigate AI's energy and cost issues, but the effects will take ...
How runbook automation reduces IT operational costs
More than a simple efficiency initiative, runbook automation is a strategic priority that lowers operational costs and improves ...

Sneak Peek Q&A: Why AI governance breaks down in production -- and what comes next
Discover how industry thought leader Varun Raj helps businesses maintain robust AI governance frameworks across the complete ...
AWS launches FinOps agent, expands Bedrock cost tracking
At FinOps X 2026, AWS announced updates across FinOps tools, including an AI agent for cost analysis and new Bedrock attribution ...
A 4-step action plan to modernize legacy systems
By assessing legacy systems and prioritizing modernization, enterprises can transform old infrastructure into a modern digital ...

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Storage control planes: From manual to autonomous operations
Storage control planes are evolving into intelligent, autonomous orchestration layers that manage provisioning, monitoring and ...
Komprise adds Iceberg for unstructured data management
Data storage vendor Komprise integrates Apache Iceberg to help enterprises analyze unstructured data without incurring data ...
Predictive storage health: Using AI to prevent downtime
Traditional storage monitoring can't keep pace with hybrid infrastructure complexity. AI-driven analytics helps storage health by...

How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved...
AI turns data center power into an enterprise challenge
AI workloads are straining data center power and grid capacity, forcing enterprises to rethink workload, cloud and infrastructure...
The rise of the AI forward-deployed engineer
The bottleneck in enterprise AI has shifted from model access to deployment. Vendors are responding by embedding engineering ...