Data & Analytics
Before AI Can Scale, Wealth Management Has a Data Problem to Solve
AI is only as good as its data. See why fragmented wealth management systems stall AI and how two firms are fixing it at…
Data & Analytics
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…
Data & Analytics
Agentic Analytics in Production: What Snowflake CoWork Replaces, and What It Doesn’t
How agentic analytics is quietly replacing the dashboard request queue, and what we've learned shipping it in production.
Data & Analytics
How Does a Semantic Layer Unlock Your Data for Agentic AI
Teams connect an AI to their warehouse expecting instant answers and get confident SQL that counts the wrong things. The model is rarely the…
Data & Analytics
When to Move Your Data Out of Spreadsheets?
As a data engineer, I was trained to be skeptical of spreadsheets. Not because they are inherently bad tools, quite the opposite. The problem…
Data & Analytics
Python vs SQL in Data Pipelines: Why the Answer is Both
Most data pipelines are built around a single language, but the real question isn’t which one is better, but which one is right for…
Data & Analytics
The Data Architecture Decisions That Actually Matter
Most articles about the modern data architecture stack start with the tools. Every engagement we run starts somewhere different: your sources and your outputs.…
Data & Analytics
Your AI Strategy Has a Data Problem
Growing companies aren’t short on data. They’re short on data they can trust. The question most teams are asking is: how do we utilize…
Data & Analytics
Starting with Graph Databases: A Quick look into Neo4j
Let’s talk about Neo4j, a graph database that recently has attracted a significant number of fans. My goal is for you to have a…