Data management stories
Chartered Management Institute launches AI leadership courses as survey finds most UK managers lack the training to turn spending into gains.
Skills shortages are now the biggest obstacle as predictive maintenance adoption in UK factories climbs from 9% to 22%.
The 52TB desktop RAID unit targets editors and studios needing faster, high-capacity storage for 4K, 8K and virtual reality projects.
Only seven per cent of organisations are data ready, raising doubts over whether enterprise AI can move from prototypes to production.
DataIQ says six women feature in its North America top 10 for 2026 as data and AI chiefs shift from analytics to business decisions.
Outages at major cloud providers have sharpened demand for database resilience as firms seek failover across on-premise and cloud systems.
The new specialisation should help healthcare and life sciences firms use governed AI and data tools to speed trials, discovery and patient insights.
Fragmented knowledge and search systems are leaving many firms with AI tools they distrust, despite rising budgets and heavy spending.
The legal technology provider is betting on stronger sales execution to win cautious law firm buyers and convert demand for finance software into growth.
Enterprises under pressure to scale AI can now use Teradata's new platform to govern data and agents across cloud and on-premises systems.
The deal gives the company a base in Delft, strengthening its European push and putting it closer to key quantum research partners.
The tie-up aims to ease reporting delays for investors wrestling with fragmented portfolio data across public and private markets.
Businesses using AI agents may gain faster issue resolution as Acceldata’s quality scores feed into ServiceNow workflows and incident handling.
The new system aims to cut infrastructure friction for firms shifting AI from pilots to always-on agents across cloud and on-premises setups.
The new layer is meant to help brands and retailers keep product data aligned as AI-led shopping and retailer requirements become more complex.
Poor data can make AI agents scale errors at speed, leaving customer-facing systems unreliable and potentially non-compliant.
Manufacturers could halve CPQ product-modelling work as staff race to digitise complex catalogues amid a shortage of specialist engineers.
The deal could help customers analyse SAP and non-SAP data together, as businesses struggle to make artificial intelligence useful across fragmented systems.
Retailers risk losing sales as shoppers expect offers and recommendations to update instantly, not hours after they signal intent.
Worries over cyberattacks, bias and weak data systems are driving calls for AI rules that protect trust, jobs and security.