News & Insights
Curated intelligence from across the data and AI landscape — plus original thinking. No noise, no filler.
Everyone's racing to implement AI. But the organisations that will actually win aren't the ones moving fastest — they're the ones who stopped long enough to ask the right question first.
Most organisations treat data strategy as an execution problem. They optimise pipelines, hire analysts, and buy better tools. But the real failure happens earlier — when ambition is traded for what feels safe to ask for.
Harvard Kennedy School's latest report examines the growing gender gap in artificial intelligence — who's building it, who's being harmed by it, and what needs to change.
AI adoption has surged, but McKinsey's latest research shows a widening gap between organisations capturing real value and those still stuck in pilot mode — with talent, data foundations, and leadership alignment as the deciding factors.
Australia has signed on to an international framework for AI safety, but critics argue voluntary commitments won't be enough to keep pace with the speed of development — or protect the people most at risk.
The annual benchmark on how organisations are buying, using, and rationalising their marketing technology stacks — and what the shift toward AI-native tooling means for the teams trying to keep up.
Escalating costs, unclear business value, and inadequate risk controls are the culprits — with Gartner warning that most agentic AI projects are hype-driven experiments that never make it to production.
Harvard Data Science Review research finds that data literacy initiatives stall when they focus on executives and skip the layer that actually operationalises change: middle management.
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