Data Strategy stories
It targets companies that have outgrown pilots, offering one accountable partner to scale AI safely across operations and modernise systems.
Nearly seven in 10 Australians walk away from AI service chats when bots fail to recall earlier exchanges, a Twilio survey finds.
Rising cloud and licensing bills are forcing database teams to rethink ageing systems as vendor lock-in and AI readiness issues mount.
Banks and large enterprises in Asia-Pacific are rethinking cloud-first AI plans as costs, sovereignty and regulation favour hybrid deployments.
Tech chiefs were urged to prioritise trust, governance and people over spending as AI, cyber threats and talent shortages reshape business.
Messy PDFs and weak extraction are quietly undermining enterprise AI, driving hallucinations, rework and stalled projects at scale.
The Montreal logistics group is overhauling its data governance as it seeks better forecasting, automation and operational visibility across North America.
Keeping stale records in active systems can distort reporting, raise security exposure and drive up storage costs for organisations.
Poor data quality is undermining Australian firms' ability to trust AI, with 70% of leaders saying they lack full confidence in systems used internally.
More local support is being lined up for firms in Belgium, the Netherlands and Luxembourg as AI projects intensify scrutiny of data quality.
Fans will be able to take part in predictions and voting across Cricket Australia channels as the deal aims to boost first-party data and sponsor value.
As AI agents take over campaign decisions, brands risk losing control of the intelligence they learn from, not just the data they provide.
Poor-quality records could undermine MDM programmes in finance, healthcare and manufacturing as AI begins acting on the data.
Swiggy's data teams can now run heavy queries far faster as the platform brings marketing, operations and finance onto one governed view.
Scottish firms will get support to move from AI trials to day-to-day use, with readiness checks and consultancy aimed at boosting productivity.
Older systems may leave Australian firms unable to meet CDR demands, while modern data architecture is becoming crucial for real-time AI use.
AI projects stall without trust, process changes and staff buy-in, and the firms that adapt fastest are likely to gain the edge.
Only 18% of Canadian organisations have embedded AI into daily operations, leaving many still chasing productivity gains amid rising costs and uncertainty.
A shared data platform is now helping Sunderland link match preparation, fan engagement and sales, as clubs chase better decisions and growth.
Fresh data and tighter controls are becoming critical as businesses push AI into production, with weak lineage and quality seen as a major risk.
