How a global investment firm reduced runtimes by 30–40% with the dbt Fusion engine
NBIM cut runtimes 30–40% in 3 months with the dbt Fusion engine and State-Aware Orchestration—without heavy optimization.
Fetched April 11, 2026
NBIM cut runtimes 30–40% in 3 months with the dbt Fusion engine and State-Aware Orchestration—without heavy optimization.
Fetched April 11, 2026
Building the agentic data stack: A practical dbt guide for the AI era The AI readiness gap is bigger than it looks Ali Ghodsi said earlier…
dbt Labs · dbt BlogWhen it comes to getting their data AI-ready, many organizations start with cleaning and structuring their data and then simply stop. This…
dbt Labs · dbt BlogDatadog describes DODO (Datadog Observability-Driven Optimizer), a technique for grounding LLM-driven code optimization benchmarks in live…
Datadog · Datadog Blog
Datadog's Referential Data Platform team used an AI agent built on Claude integrated with Jobs Monitoring to debug and optimize their Servi…
Datadog · Datadog Blog