The data and artificial intelligence landscape is undergoing a rapid transformation as enterprises move beyond experimentation into large-scale adoption. Hybrid cloud and AI-driven data architecture ...

Becoming truly data-driven requires more than adopting new tools-it demands clear alignment between business goals and data architecture. At Data Summit 2026, John O'Brien, principal advisor and ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

The artificial intelligence moment has a new focal point, and it isn’t a model — it’s the mess of files, logs and transactions where work actually happens. The winners may very well be those who ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

Event-driven architecture flips the traditional request-response model on its head by letting systems react the moment something happens. Instead of waiting for scheduled updates or manual prompts, ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

Learn how data engineering unifies drilling, SCADA, and production data to prepare oil and gas operations for AI with technical insights supported by STX Next and Future Processing. Data engineering ...