Data Quality stories
Many SMEs are delaying AI adoption, leaving them exposed to lost productivity as Air IT's new services aim to turn pilots into practical use.
Enterprises could soon carry data quality warnings into AI tools, as Ataccama opens its Apache Ossie converter to add trust signals to semantics.
Better forecasting is becoming a competitive necessity as AI lets firms test thousands of scenarios to protect margins and respond faster to shocks.
Existing customers get the AI tool at no extra cost for now, as Avalara targets gaps in tax workflows and audit readiness.
Only 16% of firms have embedded AI in regulatory reporting, as governance and trust issues keep most projects in pilot stage.
Accurate prospect data remains the priority for most sales staff, with three-quarters choosing it over an AI assistant as CRM records stay patchy.
Hotels could lose bookings from broken channel links and unmapped rooms, as SiteMinder's new AI tool flags distribution errors before approval.
Enterprises are now demanding proof of value and tighter controls as AI budgets face scrutiny over compute costs and deployment choices.
Businesses risk falling behind as AI advances faster than workforce skills, forcing them to redesign roles, workflows and judgement.
The milestone underlines rising demand for independent backup as firms seek reliable records for AI-driven systems and compliance.
Banks can now manage translation, validation and routing of payment messages in one platform as ACI targets cleaner data across networks.
Real-time mainframe data is becoming crucial for faster lending, fraud checks and insurance quotes, as stale feeds can mislead AI systems.
Shared AI projects are stalling as marketers and technologists dispute control, with most CIOs claiming the final say on CMS and DXP choices.
Without trusted customer data, autonomous agents can misfire at machine speed, putting consent, offers and records at risk across Asia Pacific.
The consultancy aims to help customers turn fragmented data estates into governed AI systems that can move from pilot projects into production.
It gives the Australian superannuation fund daily exposure data across its portfolio, supporting faster oversight and data-led investment decisions.
Flawed patient records are driving claim denials, delayed reimbursements and poorer trust as healthcare leans on AI and automation.
Poor data foundations are exposing firms to faster audits and costly errors as AI simply scales up existing gaps in compliance.
Most Australian CIOs are struggling to show returns from AI, with just 16 per cent confident their investments have delivered measurable value.
Most US companies lack full trust in AI, with governance and accountability systems struggling to keep pace with adoption.