Data Quality stories
Project-based firms are betting on tighter financial controls and AI to lift margins, even as most still lack integrated systems.
Poor data can make sanctions and identity checks miss real risk, leaving banks open to penalties, remediation costs and reputational damage.
Organisations with fully integrated systems were far more likely to see AI deliver profits, expansion and better forecasts, a global study found.
Wealth managers gain AI access to client holdings, transactions and reporting across banks as Perplexity broadens its regulated data network.
Financial professionals will soon be able to query Morningstar and PitchBook data inside Google Cloud's Gemini Enterprise for Financial Services.
Poor data housekeeping is adding cost, risk and delays to RISE with SAP projects, with some firms losing over EUR 100,000 a month.
Despite audit findings of errors, most executives still trust AI output, even as poor data quality is blocking wider use in Australia.
Bad records can drive up costs, hurt compliance and damage customer service unless firms keep data accurate as it changes.
Law firms can now mine internal knowledge and client data in chat, as Litera ties AI search to revenue-focused relationship tools.
Incomplete records can lead to missed allergies, duplicate tests and wrong billing, making data quality more urgent than connectivity.
The award underscores how AgProcure's automation could speed contract checks and reporting for retailers handling large volumes of purchasing data.
Poor data at checkout is fuelling cost surprises, missed deliveries and fraud fears that are turning many cross-border shoppers away.
Trusted product data is becoming the key test for AI adoption, with 66% of manufacturers saying systems fail without it.
As crowds swell and costs rise, venue operators are turning to AI to spot risks sooner and keep events running smoothly.
Dealmakers can now query verified data on 22 million private companies inside Perplexity Computer, avoiding separate database searches.
Asia's HR teams risk inaccurate or exposed employee data unless AI is built on unified records and tightly governed access.
Rising labour shortages and undocumented know-how are slowing industrial growth, prompting firms to use AI workers for routine tasks instead.
High-risk AI obligations have been pushed back, but transparency, GPAI and banned-practice rules remain in force for many firms.
Businesses risk costly disruption if they upgrade systems for flashier features without testing integrations, compliance and day-to-day workflows first.
India's growing SAP modernisation demand is prompting SNP to deepen its partner-led push, with Neeraj Athalye tasked with expansion.