Data management stories
Enterprises can now cut AI inference spend as the new platform reuses model data, with USD $20 million in backing.
It could help enterprises avoid costly replatforming, as the firms link governed data access with AI tools across distributed systems.
For users and vendors, the new body offers a neutral forum to coordinate MySQL development and keep the database relevant.
Brands risk blind spots and sanctions in China as fragmented platforms and tighter rules make customer data harder to use and move.
Australian firms can avoid costly upgrade pain and AI risks by pairing Clean Core with governed data and trusted partners.
Growing AI data sets are putting storage economics under pressure, prompting WD to pitch harder drives and tiered platforms as part of the answer.
The certification could help enterprises cut AI storage bottlenecks as they scale NVIDIA-based systems from pilots to production deployments.
Accuracy gains for enterprise analytics agents could reduce costly wrong answers as DataHub Cloud adds context from query history and metadata.
Enterprises can now run AI on governed data across distributed systems, as the rollout aims to cut cost, risk and duplication in fragmented estates.
The cloud overhaul is meant to trim costs and modernise finance systems as Centrica adapts to tougher energy-market pressures.
Customers in Asia-Pacific can now buy Denodo's cloud data service through Microsoft's commercial channel, easing access to hybrid data for AI use cases.
Insurers in Asia-Pacific are under pressure to modernise core systems as DXC's Assure Integral gains recognition for handling multiple lines of business.
Customers can now buy more predictable storage and infrastructure contracts as the new terms tie costs to availability, performance and recovery.
The move gives Snowflake a wider governance layer for enterprise AI and locks in a USD $6 billion AWS spend over five years.
The four-year deal should help Defra replace legacy systems and speed up digital services across environmental regulation and biosecurity.
Pressure to show returns is exposing weak data, governance and skills, leaving many pilot projects stuck before they reach production.
Weak networks and poor data are leaving most UK AI projects short of returns, as firms keep ramping up spending to avoid falling behind.
Higher margins and lower costs lifted IBM New Zealand's profit even as annual revenue dropped 13.4% to NZD $111.9 million.
More than 700 executives will gather as Australian firms face pressure to prove AI spending delivers results and tighter governance.
Without strong governance and clean data, AI in quality engineering can add workload, erode trust and expose weak foundations instead of cutting defects.