Data management stories
Tender teams at HEB Construction now save hours per bid after AI turned scattered staff records into tailored CVs and bios.
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.
Asia Pacific buyers are replacing ageing storage to ready data systems for AI, helping Hitachi Vantara lift product revenue 52% in the region.
The Surrey software group will push past 400 staff this year as it adds customer-facing roles to meet surging demand for AI-ready data.
The USD $22 million backing is set to fund product expansion into financial crime and compliance as the London-based firm broadens beyond cybersecurity.
Customers can run AI workloads on OneLake data in place, reducing the need for ETL pipelines and duplicate copies across systems.
Despite written policies, most firms cannot show staff are following generative AI rules, leaving them exposed to regulatory scrutiny and fines.
The honours underline rising demand for data and integration tools as utilities, retailers and universities tackle ageing systems and automation pressure.
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.
The new system gives NMSU researchers more capacity for AI training and simulations as its annual research spend tops USD $141 million.
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.
Year-end reporting and AI growth are exposing costly data sprawl, as many firms struggle to safely retire legacy systems without disruption.