His focus areas span AI/ML, advanced analytics, data engineering, visualization, and solution architecture, reflecting a holistic approach to enterprise data strategy.

O’Brien then introduced a data strategy framework, which divides alignment into four progressive components: Business strategy alignment; Data and analytics capabilities; Data platform architecture; ...

Data Engineering In 2025: A New Era Of Speed And Efficiency This year, data engineering will have become the backbone of every digital transformation strategy. With the growing complexity of data ...

AI pipelines must integrate data from diverse silos, unify structured and unstructured sources, and support elastic scaling. This is where a modern AI data platform becomes essential.