AI Adoption stories
The platform aims to help employers measure whether AI training changes day-to-day work, as firms seek clearer returns on spending.
Poor data practices are costing the UK economy £53.37 billion a year, as workers spend 28 days annually on inefficient tasks.
Most organisations lack clear AI oversight, leaving CIOs responsible for failures, compliance risks and workforce disruption as adoption races ahead.
Many UK employers risk poor returns from AI because staff are being given tools faster than they are trained to use them.
Finance chiefs can now trace AI bills more accurately as the platform separates sanctioned use from Shadow AI across departments and users.
Many ANZ firms lack the data governance and integration needed to prove AI is lifting productivity, costs or customer experience.
The hire underscores NiCE's push to expand internal AI use and modernise core systems as it scales operations and quote-to-cash processes.
Three in five large US firms say AI tool sprawl has stalled strategy, as 85% of executives report disconnected technology stacks.
The move lets regulated organisations run AI-driven threat detection inside customer-controlled environments, keeping sensitive security data local.
Small business channel partners can now govern unsanctioned AI use and offer a managed coworker service as adoption outpaces formal oversight.
Management pressure is pushing many developers to use AI to signal compliance, with 52% saying they overuse it to meet company expectations.
Only 11 per cent of businesses in Australia and New Zealand have deeply embedded AI, leaving the two markets bottom of a regional survey.
Many large firms are struggling to turn AI spending into measurable returns, leaving executives with fragmented projects and unclear priorities.
Only 7% of advice practices have embedded AI across most workflows, leaving productivity gains trapped in pilot projects rather than business-wide change.
Businesses were urged to fix data, processes and governance first, as AI in ERP was shown to depend on stronger operational basics.
That shortfall is already hitting projects, with 37% of firms pausing, scaling back or abandoning AI initiatives because of poor data quality or availability.
Uncertainty over returns, not upfront cost, is now the main brake on AI uptake as the share of non-users falls to 36%.
The programme's record intake signals growing demand for hands-on AI support as more Australians with industry expertise move to build products.
Banks worried about data security and rising AI costs can now run Farsight's platform on their own systems via Ornn's GPU capacity.
The deal expands Anthropic's Asia-Pacific footprint and gives Singapore closer access to its AI safety and model-testing expertise.