A model can be finished, evaluated and approved - and still never reach production. Part one of a twelve-part series on why legacy-to-AI transformations fail between the platforms: the seven capabilities beneath every production model, the eight failure states that compound, and a diagnostic that finds the gap before a platform decision hides it.
Machine data sits in a historian, production in the ERP, quality and maintenance elsewhere - and by the time it's pulled together the issue has already affected production. How Azure Event Hubs and Databricks turn live operational events into insight teams can act on.
Most finance teams still lose the first few days of every month to chasing files and copying numbers between spreadsheets. We break down why it happens, and the Microsoft setup that removes the manual layer for good.
Metro Bank's CEO called Power BI "a bank in his pocket." We break down how the UK's first new high street bank in over a century used data to transform its operations, and the lessons any organisation can apply.
Part two of From Legacy to Intelligent: giving every dependency group an outcome, accountable owners, a migration strategy and an exit condition - before anything is copied to a target platform.
What it actually takes to move your organisation's data from scattered Excel files into a production-ready Microsoft Fabric lakehouse.