Data Quality stories
New staff are reaching work faster at Citycare after it linked HR, payroll and IT records, cutting manual fixes and improving visibility.
Pressure to lift margins is pushing New Zealand firms to target AI and automation at energy use, reporting and admin tasks.
Poor data oversight now risks unreliable AI outputs, as unstructured information and weak lineage can undermine automation at scale.
The rollout aims to cut manual reconciliation and improve portfolio visibility as wealth managers face rising pressure to automate reporting and client updates.
The integration could reduce errors and compliance risks as enterprises let AI agents use cleaner, governed data without custom links.
Unified data governance is set to help Ericsson push AI beyond pilots, with more than 85,000 users already on SAP's Joule assistant.
Enterprise AI teams could gain easier access to governed data as Informatica plugs its tools into Microsoft Foundry and Fabric.
The new controls aim to help enterprises scale AI and analytics on Snowflake without compromising data governance, access or traceability.
Google Cloud customers will be able to query governed data in natural language as Informatica pushes its AI tools into Gemini Enterprise workflows.
The integration aims to help AWS customers build AI agents on trusted enterprise data, reducing errors from fragmented records and poor governance.
Poor data quality could cost supply chains millions a year, and AI will only magnify errors unless records are cleaned first.
It gives IT and security teams a way to spot risks, track usage and investigate incidents across sprawling unstructured data estates.
The rankings bolster Altimetrik's push to win larger contracts from drugmakers as life sciences firms seek AI that improves regulated operations.
Storage and cloud fees are eroding education AI returns, even as 46% of institutions plan bigger budgets this year.
Asia-based Xero users can now compare revenue growth, margins and cash metrics with local peers to spot problems earlier.
Despite widespread adoption, most Indian enterprises still struggle to turn AI pilots into measurable gains because of data, governance and skills gaps.
Poor AI oversight can magnify workflow errors, expose firms to regulation and erode trust if CIOs do not redesign controls and roles.
The new integrations aim to help enterprises govern data for AI agents without custom builds, with one release due in summer 2026.
Retailers risk being overlooked by AI shoppers unless product data is verified and structured for machine-led search and recommendations.
Banks are under pressure to speed onboarding and tighten fraud controls as more institutions move AI from trials into daily business banking use.