Q. WHAT PRACTICAL STEPS CAN BUSINESSES TAKE TO IMPROVE DATA GOVERNANCE AND ACCESSIBILITY?
» Strong governance depends on clarity. That means consistent definitions, shared metrics and clear ownership across the organisation. It’ s telling that 28 % of leaders plan to prioritise governance improvements this year. Those efforts are most effective when governance is visual and human readable. If a compliance team can’ t look at a data pipeline and understand what it does, they can’ t approve it. Governance also needs to be embedded in the workflows powering AI, not added as an afterthought.
Accessibility is just as important. The most effective way to drive it is by giving users no-code, drag-and-drop tools to build AI workflows using the business logic they already know. This approach breaks from the traditional IT-driven model, where teams waited for business intelligence to build workflows. In today’ s fast-moving AI environment, that model is far too slow.
Q. WHAT ARE THE RISKS AND BENEFITS OF DECENTRALISING AI WORKFLOWS?
» Decentralisation is gaining momentum. Business leaders told Alteryx they expect responsibility for
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