Data Strategy stories
Data quality is overtaking AI as a top concern in 2026, with CDOs under pressure to prove the information behind automated decisions is trustworthy.
Firms say the bigger payoff now lies in embedding AI into logistics, security and data systems, while poor governance leaves firms exposed.
European customers will be able to keep primary email data in the EU from August, easing compliance and improving response times.
Enterprises risk wasted spending and bad decisions because governance frameworks cannot fix inaccurate data already in their systems.
Demand for data governance is rising as regulated organisations spend more on AI, and RecordPoint is betting on partners to capture it.
The expansion positions the consultancy to tap rising demand from banks, utilities and government buyers seeking governed AI deployments across APAC.
Its 17,000-store group is broadening AI use from customer service to operations and analytics as it deepens ties with suppliers.
The recognition underscores how governed customer data is becoming essential as marketers shift toward real-time decisions and AI-driven personalisation.
Poor data quality is now a business risk for Chief Data Officers, undermining AI, customer service and compliance across the enterprise.
The software group is sharpening its global growth push as Tarun Nandwani takes the top job and Pramod Kumar gets a new role.
The tie-up should let brands move customer data and campaign signals between systems faster, while cutting middleware, sprawl and governance risk.
The ranking bolsters Looker as Google pushes AI-driven analytics, with buyers weighing governance and trusted data more heavily than dashboards.
The ranking could help EDB win larger enterprises seeking to run analytics and AI closer to core data without adding more specialist systems.
Banks under regulatory pressure may be able to modernise databases without moving sensitive records to public cloud infrastructure.
Only 12% of UK companies qualify as AI leaders, with most still struggling to turn pilot projects into measurable returns.
Product data teams can now oversee AI agents in Akeneo's cloud, reducing manual catalogue work and tightening control over approvals.
Only 7% of enterprises are seeing measurable returns from agentic AI, as poor data readiness and fragmented systems hold back adoption.
The move gives IRIS tighter oversight of AI and data policy as customers demand practical gains and stronger governance across sensitive systems.
Investors now judge private equity targets by how AI could erode margins, weaken moats or lift pricing, not just technical novelty.
The UK developer's expansion into energy and data centres gets new finance and technology leadership as it eyes GBP £12 billion of spending.
