AI is no longer a tech experiment; it’s a P&L line item that drives real business impact, but real results depend on more than selecting the right tools. Data quality, process maturity, security controls, governance and workforce readiness determine if AI delivers value or creates unnecessary risk.
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From Dashboard Engine to AI Control Plane For most of the last decade, the Power BI semantic model played a supporting role. It held the measures, relationships, hierarchies and security roles sitting quietly behind a set of dashboards. Useful, but strictly back-office. That’s changing fast. Over the past year of Fabric releases, Microsoft has been…
It’s hard to attend a manufacturing conference, join an industry webinar or sit through a leadership meeting these days without hearing about artificial intelligence. Just a few years ago, AI was viewed as something futuristic or experimental. Today, many manufacturers are actively implementing AI tools to improve forecasting, maintenance planning, inventory management, purchasing and financial…
Not long ago, artificial intelligence was mostly a boardroom talking point for manufacturers, more theory than practice. That has changed fast. Over the last 12 to 18 months, manufacturers have moved from cautiously discussing AI to actively deploying it on the shop floor, in the back office and across the sales team. Rather listen than…
