Insights in Software, Data, and AI

Discover deep agents-the next evolution of AI agents for real-world work. Learn planning, memory, and safe execution across systems.

Learn how dbt Semantic Layer metrics work in practice-modelin, and pitfalls-to deliver consistent, reusable analytics metrics across tools...

Discover the best LLM observability tools to track traces, cost, quality, and safety-monitor prompts, RAG, latency, and guardrails.

Implement dbt in an existing data warehouse safely with this low-risk playbook-dbt best practices, testing, and analytics engineering.

Discover the best BI tools for non-technical users-self-service dashboards, and tips to choose the right business intelligence platform.

Cheap data solutions can cost more later-poor data quality, security gaps, downtime and tech debt. Learn red flags and smarter data stack choices.The Hidden Costs of “Cheap” Data Solutions

Is your company ready for generative AI? Use this practical readiness guide to assess use cases, data, governance, and ROI, then scale safely.

Outsource data engineering or build in-house? Compare costs, speed, security, and hybrid models to choose the right data engineering team setup.

CTO guide to data platform investments: reduce cost, improve analytics & AI, and avoid replatforming with a pragmatic framework for...