Enterprise spending on artificial intelligence continues to rise sharply, yet its impact on real business decisions remains limited. According to McKinsey, more than 70% of organizations now use AI in
AI investment is no longer experimental. Across industries, it has moved into core budgets, executive agendas, and strategic roadmaps. Yet despite this momentum, the practical impact of AI on everyday
Should we invest in data engineering first, data analytics first, or AI first? This is a question that reveals a deeper problem. On the surface, this looks like a sequencing
According to Gartner, 70% of AI projects in manufacturing never reach production. That’s not because the algorithms don’t work. It’s because CIOs jump into artificial intelligence without first asking: Are
When it comes to successful AI implementation, what separates the industry leaders from the pack? This study aims to find out and provide insights to achieve AI success. Step 1: appoint an AI champion.
Historians are using #MicrosoftAI to understand art, and by extension, ourselves, better than ever before. Learn how #TheMet and partners, @Microsoft and @MIT, are transforming the way we experience art.