Data management stories
Most UK financial advisers are now serving younger investors, but fragmented software is adding hours of admin each week.
The four-year deal should help Defra replace legacy systems and speed up digital services across environmental regulation and biosecurity.
Large enterprises risk hidden losses as most overpayments start in procurement, logistics and accounting systems before accounts payable sees them.
Growing AI use is heightening pressure on firms to track sensitive data and close governance gaps, as 85% cite such issues as adoption barriers.
The deal will help the chemicals group cut migration errors as it consolidates fragmented systems into a single SAP S/4HANA platform.
Businesses will get cheaper storage and wider backup coverage as Synology adds SATA-based systems, object storage and AI tools to its roadmap.
Rising data volumes and tighter controls are driving demand for reconciliation tools, with AutoRek's award reflecting that pressure.
The tie-up keeps analytics and AI inside Snowflake's security boundary, while reducing mismatched business definitions across dashboards and agents.
Enterprises could cut integration work and security risk as pre-tested FlexPod systems are aimed at production AI deployments and edge use cases.
Growing pressure to prove AI decisions is pushing manufacturers towards tighter governance, connected data and MCP-based integration by 2026.
The new feature is meant to curb conflicting AI and analytics outputs by keeping business terms and metrics in one governed layer across platforms.
Trusted data signals are being pushed into AI workflows as Ataccama deepens its Snowflake links and targets governance gaps across enterprises.
The shift is speeding up legal and regulatory analysis, with some Thomson Reuters workloads now running up to 3.4 times faster.
The software will help Equinor track production, ownership and cargo data across assets in more than 20 countries under a USD $11 million deal.
It may help regulated customers use archived data for AI without moving sensitive records into separate systems, reducing compliance risk.
It could help enterprises avoid costly replatforming, as the firms link governed data access with AI tools across distributed systems.
Joint customers can search telemetry in place, cutting duplication and storage costs while improving security visibility across hybrid cloud estates.
Manual data wrangling at the City of Melbourne is being replaced by a single AI platform supporting more than 700 datasets and 40 use cases.
Most Australian healthcare providers are stuck in pilot mode as weak data, governance and operating models limit wider AI rollout.
Bad data is costing Australian firms about AUD A$493,000 a year and slowing decisions in mid-sized businesses.