
Blog
Field notes from the build.
Practical writing on getting data and AI into production, from the senior practitioners doing the work. No hype, no boilerplate.
33 posts
- 10 Digital Transformation Trends That Define Business Success in 2025Oct 3, 2025AI & Machine Learning
- Essential Guide to the Data Integration ProcessOct 2, 2025Data Architecture
- Data-Driven Performance Management: Algorithms for InsightsOct 1, 2025AI Agents
- Optimizing Data Pipelines: How to Detect and Fix Broken Data Flows in Real-TimeSep 25, 2025Data & AI Strategy
- Llama 2: Generating Human Language With High CoherenceSep 3, 2025AI & Machine Learning
- StreamFlake: Real-Time CDC Pipeline with Kafka and SnowflakeMay 31, 2024Data Architecture
- Build and Deploy ML Models Through SQL with Amazon Sagemaker Autopilot and SnowflakeMay 26, 2022AI & Machine Learning
- Why People Are Excited About SnowflakeMay 25, 2022Data Architecture
- Cloud Architecture: Build vs. Buy?May 24, 2022Data Architecture
Newsletter
Past the Pilot
Next step
Let's find where AI pays.
Two hours, read-only, with an engineer who has shipped this. You leave knowing what level you're at and what's worth funding.