Business Value stories
A lack of live data infrastructure is leaving most Australian IT leaders unable to scale AI, according to new research from Confluent.
One in three firms overshot AI budgets last year, yet only 8% track revenue or productivity gains, exposing weak returns.
Industrial groups under pressure to prove returns from digital spending will gather in Amsterdam for a closed-door AI forum.
Enterprise AI agents are already generating revenue, but shortages of compute and skills could determine who captures the gains.
Most firms still lack the policies and governance needed to turn widespread AI use in the IT channel into lasting business value.
Most firms are still increasing AI budgets, even as 57% of CX leaders say the technology has delivered little or no impact on operations.
Businesses are now weighing whether AI can cut workloads and risks in core operations, rather than just speed up pilots and paperwork.
The award reflects measurable gains from Sidetrade's AI-led redesign, which cut feature delivery from 60 days to three and slashed staffing needs.
More firms are tying AI spending to measurable results, yet just 7% have established a return on investment, KPMG says.
Lower energy use has helped trim Axis's direct emissions, but the vast bulk of its footprint still sits in suppliers and product use.
The awards highlight how Genesys is leaning on partners to help customers turn AI pilots into wider deployments while managing governance risk.
Budget pressure is pushing security teams to prove ROI, while integration and staffing gaps continue to shape buying decisions this year.
AI pilots are faltering where firms still judge success by hours saved, leaving customer value and workforce design unresolved.
Enterprises risk missing business gains unless data quality is managed continuously from source to decision, experts say.
Most enterprises are still failing to turn agentic AI trials into usable gains, as weak governance and orchestration keep deployments in pilot mode.
Legacy systems are slowing AI roll-outs at large firms, with most executives saying modernisation and governance are now the main bottlenecks.
Boards may question finance AI programmes unless spending shifts from efficiency gains towards better decisions and growth, Gartner said.
Clients are increasingly demanding proof that cloud and AI spending is lifting productivity, revenue or cost control, not just adding systems.
Many businesses are finding that AI pilots stall when ownership, adoption and measurement questions emerge after the first demo.
Only 7% of finance teams report high AI impact, even as most have already deployed or plan to deploy the technology, Gartner says.