AI Strategy stories
Clients seeking fewer vendors may now get workforce, technology and risk support from one provider as AI deployments scale beyond pilots.
Growing enterprise demand has prompted V2 AI to add senior leadership as it tackles rising AI spending across Australia and Asia-Pacific.
Poor-quality data can derail AI projects, leaving businesses with biased predictions, weak insights and higher compliance risk.
Investor backing for NFON's AI push came as the Munich software group lifted revenue to EUR 89.1 million and boosted margins.
The recognition boosts its credibility with banks and energy clients, as regulated industries demand AI tools that can be explained, controlled and audited.
AWS CEO Matt Garman says enterprise AI is moving into production as more organisations report measurable returns on investment.
Its founders say the consultancy has avoided redundancies and kept growth lean, even as demand for AI transformation rises across the region.
Many firms are failing to turn AI spending into returns, as Quanton opens in Australia to help clients scale deployments and change management.
Corporate learning teams are being pushed to redesign structures and skills as employers move from AI trials to daily use across operations.
More firms are tying AI spending to measurable results, yet just 7% have established a return on investment, KPMG says.
The platform aims to close the gap between heavy AI spending and everyday use, especially for frontline staff across fragmented workplace systems.
The deal gives Qualcomm a stronger software layer for developers as AI workloads spread from edge devices into data centres.
AI pilots stall less on model quality than on messy data, disconnected tools and weak governance, Snowflake Summit heard.
Poor data quality is holding back AI projects at UK professional services firms, with 34% of senior leaders calling it the main barrier.
The appointments underline a push to turn in-house AI trials into customer services, with governance and reliability now central to growth.
IBM research shows Canadian organisations are expanding AI use while governance, workforce skills and oversight struggle to keep pace.
Enterprises across Asia may move faster from AI pilots to production, as the deal targets scalable deployment in ASEAN, Japan and South Korea.
Businesses face growing pressure to keep AI data and costs in-house, as CTI Digital tests a private platform for employees in Manchester.
Australian firms risk losing AI advantage if core models and pricing stay offshore, as sovereign control becomes a resilience and trust issue.
The free release could help firms avoid costly single-vendor AI contracts as Rebel links employees to shared company memory and portable workflows.