Data Quality stories
Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.
The fresh capital gives the automotive software firm room to scale in the US, where repair delays and manual processes still add costly friction.
The fresh capital will fund platform upgrades and expansion as large enterprises demand cleaner supplier data for compliance, risk and automation.
Most enterprises still struggle to turn AI pilots into profit, with just 23 per cent able to link initiatives to higher revenue or lower costs.
The overhaul gives more than 18,000 vendors a single governed record, cutting duplicate compliance checks and manual re-keying across systems.
Banks and fintechs could cut onboarding delays as a single workflow now joins customer identity checks with real-time business verification.
The move puts human checks at the centre of AI-assisted modelling, as finance teams face greater scrutiny over errors in Excel outputs.
Manufacturers could soon query live product data from AI tools, as Propel links its PLM platform to Claude, ChatGPT and Copilot.
Most shoppers are happy for AI to compare products, but only 4% want it involved in payment, a new survey shows.
Poor contact data can undermine AI outputs at scale, making upstream verification more important than prompt tweaks for compliance and accuracy.
Manual access reviews and audit gaps are adding hidden costs as firms hit mid-year and rethink identity governance budgets.
The appointment brings continuity as Gresham integrates its recent acquisition and reshapes leadership around financial services data management.
Poor data quality is holding back AI projects at UK professional services firms, with 34% of senior leaders calling it the main barrier.
Firms face fresh compliance and dispatch risks as GSTN's e-Way Bill overhaul adds mandatory Ship To GSTIN checks from 1 August 2026.
A lack of live data infrastructure is leaving most Australian IT leaders unable to scale AI, according to new research from Confluent.
The appointments underline a push to turn in-house AI trials into customer services, with governance and reliability now central to growth.
One in three firms overshot AI budgets last year, yet only 8% track revenue or productivity gains, exposing weak returns.
IBM research shows Canadian organisations are expanding AI use while governance, workforce skills and oversight struggle to keep pace.
Governance is lagging as Australian firms race ahead with AI, leaving many exposed to control and readiness gaps, a new study finds.
Nearly half of Canadian business leaders are testing AI without seeing returns, as firms struggle to embed the technology into daily operations.
