Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The AI race isn’t about models anymore — it’s about who controls the data context. To avoid massive vendor lock-in, you need to own your system's ontology.

Snowflake Summit is positioned annually as one of the world's largest data and AI conferences, and 2026 recorded the highest number of attendees since Snowflake's founding. Participants include a wide ...

Resource profiles in Microsoft Fabric let you apply predefined Spark configuration sets for common workload patterns such as read-heavy and write-heavy processing. Profiles reduce manual Spark tuning ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Every enterprise IT executive faces the same AI paradox: their most valuable data sits ...

1. How did you handle schema evolution in PySpark when reading data from Snowflake or S3? Schema evolution is handled using the mergeSchema option (for formats like Parquet). In Snowflake, we ...

Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...

Our research indicates that data platform wars have entered an entirely new phase, one where open data is no longer a marketing slogan and governance catalogs are now the new control point. We see ...