Data management stories
The new system gives NMSU researchers more capacity for AI training and simulations as its annual research spend tops USD $141 million.
Poor data quality is undermining Australian firms' ability to trust AI, with 70% of leaders saying they lack full confidence in systems used internally.
Most large firms are yet to embed AI fully, as data, integration and governance issues keep agentic projects stuck in pilots.
The Auckland software group is bolstering governance as it pursues overseas growth, with a new chair drawn from aviation and ports.
Almost all firms are storing more because of AI, as archived data is being pulled back into use and storage costs climb.
More local support is being lined up for firms in Belgium, the Netherlands and Luxembourg as AI projects intensify scrutiny of data quality.
Enterprises using Apache Iceberg on AWS can now restore full, queryable tables after incidents, reducing manual rebuilds and downtime.
Campaigns can fail at the final mile if stale inboxes and recycled numbers keep time-sensitive offers from reaching the right consumers.
Poor-quality records could undermine MDM programmes in finance, healthcare and manufacturing as AI begins acting on the data.
Existing customers get six years of support as Cloudera shifts new AI and analytics workloads to a Hadoop-free platform due in November.
The French fintech is splitting its leadership as it seeks faster international growth and broader reach among finance teams worldwide.
Customers can analyse data without copying it, as the link between Teradata and Microsoft OneLake cuts pipeline costs and governance overhead.
Bad address data can now trigger missed deliveries, compliance gaps and fraud risks across sectors from retail to healthcare.
Most Indian firms now run workloads across public, private and on-premises systems, as cost, resilience and sovereignty concerns reshape cloud plans.
Concerns over legal, reputational and data risks are rising as nearly all Singapore companies use AI, yet trust in its accuracy stays low.
Most Australian firms using AI still lack a settled view on liability, even as 61% insist humans should review major decisions first.
Businesses risk wasting money on AI unless they first tackle the repetitive admin that is draining skilled staff time across departments.
Treasury teams could cut forecast errors and free staff from manual work if they fix fragmented data and weak governance, EY India said.
Australian businesses face growing pressure to secure fragmented data as AI adoption outpaces the infrastructure needed to support it.
Businesses running multiple locations could cut repetitive local marketing work as Synup shifts to usage-based pricing with Sydekick.