Field-tested guidance from our data and AI engineers — written for the teams building production data platforms and AI systems.
How to move AI from pilot to production — architecture, governance and the metrics that prove business value.
Data PlatformA pragmatic playbook for moving to Snowflake: planning, cost controls, validation and cutover.
SQL Server & DatabasesClustered vs nonclustered, covering indexes, index maintenance, and reading the query plan to pick the right index.
SQL Server & DatabasesHow to find and fix the slow queries that actually hurt — execution plans, statistics and the top offenders.
Data WarehousingWhy star schemas stay the workhorse of the data warehouse — and how to model facts and dimensions that scale.
AI & Machine LearningA practical, ROI-focused guide to the AI use cases that pay off fastest in business.
AI & Machine LearningGive your team an assistant that answers from your own data — the architecture, the code, and the guardrails.
AI & FinanceHow banks and finance teams use AI to catch fraud in real time and forecast with confidence — with the code behind it.
Engineering & DeliveryA senior engineer embedded in your team, working on your problem in your context and shipping production software — what the role is and when it makes sense.
Engineering & DeliveryScoped to an outcome, not to hours: less rework, faster time-to-value, and a senior engineer who ships with your team instead of around it.
Schedule a free 30-minute consultation with our data architects. We'll discuss your challenges and outline how GBM Enterprise can help.
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