Key Takeaways Azure AI readiness means your data, infrastructure, security, governance, and cost controls are prepared before you scale AI—not after. AI workloads place new demands on Azure: more compute, more data, greater network load, a wider attack surface, and higher spend if left unoptimized. The five steps: evaluate data readiness, assess infrastructure capacity, strengthen…

Artificial intelligence has quickly moved from experimentation to operational reality. What started as employee curiosity around tools like ChatGPT has evolved into enterprise-wide discussions about automation, productivity, customer experience, analytics, and competitive advantage. Organizations are racing to integrate AI into workflows, applications, and decision-making processes often faster than their IT environments are prepared to support.…