AI Strategy stories
Businesses risk flawed AI decisions unless enterprise software embeds industry context, governance and real-time data at its core.
Many AI roll-outs miss returns for years because businesses fail to spot customer pain points before automating broken processes.
Measured results are now under pressure as firms struggle to turn AI pilots into everyday tools and prove climate plans beyond targets.
Most firms are still increasing AI budgets, even as 57% of CX leaders say the technology has delivered little or no impact on operations.
Demand for data governance is rising as regulated organisations spend more on AI, and RecordPoint is betting on partners to capture it.
AI hiring is spreading unevenly across revenue teams, with senior roles and Sydney adverts most likely to mention the skill.
Clients across Asia Pacific will get new AI agents, tools and sector partnerships as NCS doubles down on sovereign deployments and hiring.
Only 26% of organisations call their AI operations advanced, as integration headaches and data silos keep many projects stuck in pilots.
Most boards are using AI, but formal guidelines are still missing as adoption races ahead of governance, OnBoard's survey found.
Its 17,000-store group is broadening AI use from customer service to operations and analytics as it deepens ties with suppliers.
The software group is sharpening its global growth push as Tarun Nandwani takes the top job and Pramod Kumar gets a new role.
Countries risk losing control over data and AI policy unless they build local computing capacity and home-grown models, NVIDIA says.
Only 12% of UK companies qualify as AI leaders, with most still struggling to turn pilot projects into measurable returns.
New Zealand telecoms could gain a software-led revenue stream after One NZ's AI project was named among TM Forum's top Catalyst awards.
The five-year funding is aimed at turning Alberta's AI research into faster public services, stronger health care and local commercial gains.
Irish firms risk falling further behind as GPT 5.6 outpaces their ability to retrain staff, redesign workflows and justify AI spend.
Boards face mounting pressure to set AI rules now, as faster adoption is exposing Australian firms to data, workforce and security risks.
The top ranking signals growing demand for university AI that can manage sensitive data, automate admin work and scale across campus systems.
Only 7% of enterprises are seeing measurable returns from agentic AI, as poor data readiness and fragmented systems hold back adoption.
The move gives IRIS tighter oversight of AI and data policy as customers demand practical gains and stronger governance across sensitive systems.
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