As a Microsoft Solutions Partner for Data & AI, Xcelocloud closely follows this corner of the Microsoft ecosystem, and it is changing quickly. Over the past several months, Microsoft has reshaped what a Data & AI partner is expected to be, from the badge name to the skills behind it. Here’s what’s shifting and how to think about it as you plan your data and AI investments.
The badge has a new name, and it signals convergence
Microsoft has consolidated its three Azure solution paths — Data & AI, Digital & App Innovation, and Infrastructure — under a single designation: Solutions Partner for Cloud & AI Platforms. The requirements didn’t loosen; the framing changed. Microsoft is treating data, applications, and the infrastructure beneath them as a single AI platform, not three separate disciplines. The cue for you is to plan the same way: your analytics estate, the apps on top of it, and the infrastructure underneath are increasingly a single decision, not three.
The bar moved from data to agents
The skills behind the designation are being rewritten around AI in production. Microsoft retired its Azure Developer certification in favor of an Azure AI Cloud Developer credential, added a new GitHub Agentic AI Developer certification to the path, and introduced data-plus-AI credentials such as SQL AI Developer. Translation: a credible Data & AI partner is now expected to prove it can build and operate AI agents and AI-infused applications, not just stand up a data warehouse. When you evaluate a partner, ask what their team is certified to do with agents and models in production — because the program now asks exactly that.
Specializations are consolidating — and getting audited
Microsoft has merged overlapping specializations — its analytics specializations are now a single Analytics on Microsoft Azure specialization built around Fabric, Databricks, and Power BI — and is moving specialization validation toward recurring, independent third-party audits, starting with its security specializations and a new agentic-security specialization in design. The bar is going up. The upside for you: a partner’s specialization is a stronger signal than it used to be, increasingly reflecting audited, real-world capability rather than a point total.
How you buy and co-sell is going Marketplace-first
Microsoft is routing partner co-sell and incentives through the commercial Marketplace and consolidating its ISV and co-sell programs into a single Marketplace-centered motion. If you’re sourcing data and AI services or software, expect more of it to flow through Marketplace transactions — which can simplify procurement and unlock committed-spend and incentive benefits when an engagement is structured that way. It’s worth asking any partner how they transact, not just what they build.
Where Xcelocloud fits
We track these shifts because they change what “good” looks like, and we build our Data & AI practice to match, from managed data and AI operations to advisory and project work. We recently earned Microsoft’s Data & AI designation on the strength of that practice; we’ll cover what that means for partners and their customers in an upcoming post.
Watch for more from Xcelocloud as we share how we’re responding to these changes, and what it means for the partners and customers we work with.
Kim Hershey
Kim brings Fortune 500 structure and discipline to Xcelocloud’s product management team. She holds an MBA and certifications in Scrum Master, Scrum Product Owner, Kellogg Marketing Leadership, PMP-PMI, and Lean Six Sigma Green Belt. She excels in cross-functional leadership, handling complex projects across various technologies and markets. Kim spends her off-time with her family and books. Her favorite authors are George R.R. Martin, Ethan Wharton, and Kazuo Ishiguro.
