Sitemap - 2025 - Building an AI-powered Analytics Startup
Behind the scenes: how we think about semantic model generation
Nearly 100% error rate: our first major outage
When users don't chat with your chat: solutions to help AI help people (Part One)
Your Data's Diary: Why AI Needs to Read It
We found Urgency... or maybe, it found us?
GenAI is consistently inconsistent, but is that a problem?
"Sorry for the mess" - everyone's data is messy, and it's Okay
How Solid keeps a close eye on its AI, with LangSmith
Solid's Leap to an Agentic Platform: Unlocking New AI Capabilities
What’s Top of Mind for Data Teams and Business Leaders: Lessons from Snowflake Summit 2025
Data, Meet Business: Why You Need JIT Semantic Models, Instead of a Static Semantic Layer
Free, AI-generated, high accuracy documentation and semantic model of your data assets now available
Throwing away BI is a Bad Idea
Testing Solid's chat: how we do evals - part one
Semantic layer for AI: let's not make the same mistakes we did with data catalogs
Everyone wants Text2SQL, but the pros don't trust it
Vibe Analytics: the new era of data analysis?
From Black Box to Best-of-Breed: Our RAG Optimization Journey
Nobody cares about the efficiency of the data analyst
Autogeneration of a semantic layer - the key for AI/BI
The curse, and promise, of the white box
Building GOATs: Establishing a Transformative Community for Analysts
Embracing Startups: A Winning Strategy in the Age of AI
The right way to set your data & analytics strategy
Beyond Efficiency: How AI is Redefining Data Analytics
The five tier-model of organizational data and analytics flow
Cracking the Code: How We Built Our Success Formula
Breaking the Black Box: Lessons from Azure AI Services for Chat Implementation
Inconsistency: the largest contributor to noise in data analytics
CDAOs: the new cool kids in the enterprise C-suite - Part Two
CDAOs: the new cool kids in the enterprise C-suite - Part One