6 Steps to Making Data Reliability a Habit
Some organizations approach data quality like a crash diet. Instead, try these 6 steps for sustainable data quality at scale. …
Data Science
Zero-ETL, ChatGPT, And The Future of Data Engineering
The post-modern data stack is coming. Are we ready? Zero-ETL If you don’t like change, data engineering is not for …
61 Data Observability Use Cases From REAL Data Teams
I wanted to share this article we put together that illustrates how real data teams are benefiting from data observability. …
Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem
The modern data stacks allow you to do things differently, not just at a larger scale. Take advantage of it. …
5 Generative AI Use Cases Companies Can Implement Today
Getting started with LLMs? Here are 5 popular applications data teams at OpenAI, Vimeo, and other companies are putting into …
The Moat for Enterprise AI is RAG + Fine Tuning — Here’s Why
To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine …
5 Hard Truths About Generative AI for Technology Leaders
GenAI that drives real business value takes real work. But it’s worth it. 5 Hard Truths About Generative AI for …
When a Data Mesh Doesn’t Make Sense for Your Organization
Hype is a funny thing. Sometimes you find yourself in a Godfather Part 2 situation where the hype is totally …
Building Ethical AI Starts with the Data Team — Here’s Why
GenAI is an ethical quagmire. What responsibility do data leaders have to navigate it? In this article, we consider the …
Top 10 Data & AI Trends for 2024
From LLMs transforming the modern data stack to data observability for vector databases, here are my predictions for the top …