Data Quality stories
Only 8% of senior finance leaders feel ready to adopt AI, despite widespread belief it can lift productivity if workflows are redesigned.
Most UK financial advisers are now serving younger investors, but fragmented software is adding hours of admin each week.
Only 31% of UK finance chiefs are leading long-term investment calls, leaving strategy, AI adoption and investor messaging underpowered.
UK retailers face a bigger test than chatbot quality, as AI assistants will favour stores with accurate data, stock and trust.
More than half of UK organisations say digital transformation projects overrun, as competing priorities and integration hurdles keep delaying delivery.
The London-based AI data start-up has won support as demand grows for specialist training datasets for reasoning-heavy models.
Higher budgets have not sped delivery, with most UK digital transformation programmes running late as implementation issues bite.
Most firms lack formal AI policies for contract management, leaving legal and compliance teams exposed as adoption races ahead.
Rising fees and longer free-shipping thresholds are widening the gap between what Australian shoppers want and what retailers promise at checkout.
Teams can now map downstream risks across Salesforce, Snowflake and Data 360 before making changes, cutting manual checks and compliance gaps.
Growing AI use is heightening pressure on firms to track sensitive data and close governance gaps, as 85% cite such issues as adoption barriers.
Price remains the main driver for Prime Day shoppers, even as 43% now use AI tools to compare offers and spot discounts.
The deal will help the chemicals group cut migration errors as it consolidates fragmented systems into a single SAP S/4HANA platform.
Pressure to ship faster is leaving most firms exposed, with AI-generated code now outpacing testing and lifting quality risks across industries.
Businesses can now feed governed enterprise data into Snowflake AI workflows in real time, cutting the gap between insight and action.
The deal gives finance teams a way to automate revenue recognition and reconciliation as businesses seek cleaner books and faster closes.
Routine analytics work is being shifted from data scientists as Anthropic says Claude now handles most queries with about 95% accuracy overall.
Firms with connected finance systems are more likely to turn AI spending into measurable gains, as poor data visibility still drains billable hours.
Fast-growing digital banks in Asia face tighter checks as varied rules and weak data systems make customer verification harder across borders.
Bad addresses can waste spend, skew analytics and undermine compliance as firms move email verification from clean-up to core infrastructure.