Microsoft’s Power BI Premium retirement is far beyond a licensing update. For enterprises running business-critical analytics on Power BI Premium capacity, timely decisions are required around migration, capacity planning, cost management, governance, and operational continuity. 

Microsoft is retiring Power BI Premium per-capacity P SKUs and directing customers toward Microsoft Fabric capacity. Organizations that still use P1 through P5 capacities should assess their current environment and plan their transition before their existing agreement expires. 

Digital commerce has been built around one simple idea: people visit a website, search for a product, compare their options, and complete a purchase. 

AI is beginning to change that journey. 

Today, shoppers can ask an AI assistant to compare products, summarize reviews, find the best deal, or recommend an item for a specific need. The next stage goes further: AI agents may search, evaluate, and even complete purchases on a shopper’s behalf. 

Supply chains generate huge amounts of data. Every purchase order, inventory movement, production delay, and supplier update adds another piece to the picture. Yet having more data does not always make decisions easier. 

Teams still need to understand what the data means, identify risks, and decide what to do next. This is where AI adds value to Dynamics 365 supply chain management. 

Your customer called support yesterday. They opened an email today. They abandoned a service request halfway through. They spoke to a salesperson last week. They searched your website twice. 

Your systems probably know all of this. 

But does your business know what to do with it? 

There is a familiar pattern in contact center transformation. 

New technology arrives. The business gets excited about what it can do. Then someone looks at the existing contact center and realizes how many systems are involved, telephony, CRM, IVR, routing, knowledge, billing, orders, identity, and more. 

Suddenly, “let’s introduce AI” starts sounding like “let’s replace the contact center.” 

It doesn't have to. 

Modern enterprises are drowning in data. However, data silos isolate information in different systems, inconsistent policies mean each department handles data differently, and fragmented tooling forces IT teams to stitch together multiple governance solutions. Most business leaders don’t trust their data due to it being scattered and poorly managed.  

This fragmented model results in: