AI Implementation
Why 95% of AI Pilots Never Reach Production (and What the Other 5% Do Differently)
95% of enterprise AI pilots never reach production, per MIT research. See the four-stage maturity model and the Wave 1 vs. Wave 2 shift…
Insights
Most Companies Aren’t Ready for AI. Here’s How to Find Out.
Every executive team today says AI is a priority, but when the conversation moves from ambition to execution, most organizations hit the same wall: they don’t actually know what “AI-ready” means operationally.…
See more
Data & Analytics
dbt Summit 2026: What Changed for Data Teams, and What Didn’t
dbt Summit 2026 recap: dbt v2, dbt State, Lake Compute, dbt Wizard and the Fivetran Context Layer. What's GA, what's in beta, and what…
AI Implementation
AI Agent Architectures: Patterns and Trade-offs
A practical map of AI agent architecture patterns — workflows, autonomous agents, multi-agent frameworks, memory, and error handling — and the trade-offs behind each…
AI Implementation
AI Agent Observability: Tracing and standards
AI agent observability explained: OpenTelemetry GenAI tracing, MCP instrumentation, platform choices, and the eval gates that catch quality regressions before they ship.
