When is building better than buying an off-the-shelf solution? Companies can engage in different approaches to model development. From fully managed ML services, all the way to custom models. Depending on business requirements, available expertise, and planning constraints, they must make a choice: should they develop custom solutions from scratch? Or should they choose an… Continue reading Off-the-shelf vs Custom Machine Learning Models?
Tag: Data & AI Strategy
Materialize + dbt Allows Users to Transform Real-Time Data with Ease
Data is complicated. (That’s why it’s called ‘data science’). Managing its use and flow remains challenging and when data pipeline management is added the complexity increases. Organizations are continuously moving the data between one another and it is no surprise that the meaning of values or individual tables of your data warehouse can be lost… Continue reading Materialize + dbt Allows Users to Transform Real-Time Data with Ease
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