Large Language Models (LLMs) have become the new normal for creating content, generating code, summarizing information, and even directly answering customer queries. As AI adoption grows, platforms such as Microsoft Copilot are making advanced language model capabilities more accessible to business users. These tools can save time and improve productivity, which is why their adoption continues to grow across industries.
Web pages are no longer expected to stay static after publishing. Today, users expect websites to respond to them, adapt to context, and remain relevant every time they visit. In fact, this expectation has pushed businesses to rethink how they build their websites and portals.
Picture yourself getting a request on a Tuesday afternoon. A colleague needs access to the sales dashboard. You add them to the Fabric workspace as a Viewer, send the link, and consider it done. But then your lead flags it. The colleague can see the sales dashboard, but they are also able to view some financial reports, HR details, and executive summaries. The Viewer role gave them the door, and the door opened onto the whole workspace.
Traditional app development requires knowledge of programming languages, UX-UI principles, data structures, and deployment processes. Even with Low-Code/No-Code platforms, new users often struggle to design data tables, write formulas, and correctly structure app screens. Because of that, many business teams still depend heavily on IT departments for even small internal applications, such as request forms, approval trackers, and operational dashboards.
Traditional app development requires knowledge of programming languages, UX-UI principles, data structures, and deployment processes. Even with Low-Code/No-Code platforms, new users often struggle to design data tables, write formulas, and correctly structure app screens. Because of that, many business teams still depend heavily on IT departments for even small internal applications, such as request forms, approval trackers, and operational dashboards.
Did you know that AI could already be influencing decisions inside your organization without a clear structure to control it? Shockingly, while responsible AI practices are improving, areas like strategy and control over agent-based AI are still behind, with only about 30% of organizations reaching a moderate level of maturity. AI is delivering value, but the clarity on how to manage it is still missing.
