Data management stories
AI workloads are pushing log volumes up 93%, yet most large companies still leave 86% of data unanalyzed to keep costs down.
Banks and retailers are adopting the platform as AI projects mature, with data sovereignty now shaping budgets, risk and infrastructure choices.
Research teams can now run HPC and AI workloads without rebuilding storage and cloud stacks, as CIQ adds support for major file systems.
Backup and recovery tasks can now be triggered inside popular AI assistants, as Cohesity opens its tools to external workflows through MCP.
Enterprises face rising pressure to secure and automate AI workloads as HPE ties networking, storage and software into a fuller stack with NVIDIA.
AI pilots are faltering where firms still judge success by hours saved, leaving customer value and workforce design unresolved.
Rising downtime costs are pushing factories to use AI to capture veteran technicians' know-how before retiring staff take it with them.
The 600-petabyte deployment is set to underpin regulated AI workloads in Australia as demand for onshore data control intensifies.
Many firms are adopting AI quickly, but weak data architecture is leaving them unable to measure returns or manage governance risks.
Control over data, governance and AI accuracy is becoming a boardroom priority as Gartner says the shift could reshape enterprise strategy by 2030.
Research centres can now keep existing Lustre and GPFS data in place as Fuzzball 4.0 adds Azure support, caching and a registry.
Enterprises risk missing business gains unless data quality is managed continuously from source to decision, experts say.
The update aims to cut reconciliation work for enterprise finance teams by linking spend data directly with SAP S/4HANA Public Cloud.
The platform could cut the time and cost of preparing siloed files for AI, with queries fed from metadata rather than full data copies.
Pressure is mounting on financial firms to turn AI pilots into measurable results as SEI adds new leadership to its data overhaul.
The Kolkata centre is meant to help corporate clients turn fragmented data into scaled AI deployments, as demand for practical automation grows.
Weak data pipelines and poor governance can now be checked inside the FICO Platform, as the software maker pushes firms towards safer AI use.
Retailers and brands could cut delays and inconsistencies as Akeneo folds pricing into its Product Cloud, widening its reach beyond product data.
Fragmented data is slowing finance decisions and limiting the value of AI, as Australian CFOs push to make GRC the office's connective layer.
Most UK public sector IT teams lack the infrastructure and trust needed to scale AI safely, a SolarWinds survey found.