Matt Dancho
Generative AI data scientist; frequent posts on building AI/data systems, unstructured data pipelines, agents—useful for big‑data analytics.
Forecasting Starts with Workflow, Not Model
Most people learn forecasting wrong. They start with models. They should start with the workflow. The model is step 4. Want help? 🚨 On May 20th, I am hosting a free workshop to build high performance forecasting systems (that companies will actually use). 👉 Register here (500 seats): https://learn.business-science.io/join
AI Writes Code, Humans Run Forecasting Operations
AI can generate forecasting code. AI cannot install a high-performance forecasting operation inside a company. That still requires a person. Learn how to implement a Forecast Operating System (that your company will actually use). 👉 Register here (500 seats): https://learn.business-science.io/join
Forecasting Success Lies in Repeatable Systems, Not One‑off Models
A few years ago I showed a forecasting model to a VP of supply chain. The accuracy was good. I was proud of it. She looked at it for about 10 seconds and asked one question. "Can you run this again next month?" I...
Forecasting Fails on Workflow, Not Models—Need Operators
90% of forecasting advice is wrong. It focuses entirely on models. ARIMA vs Prophet vs XGBoost vs Deep Learning. But after working with dozens of data science teams I can tell you — the model is almost never the problem. The workflow is. And until...
Master Time‑Series Forecasting in Just 3 Minutes
90% of data scientists are not confident in time series forecasting. I should know. It took me 3 years. Let me crush your confusion in 3 minutes.
New Forecasting System Boosts Decisions, ROI, Saves Money
I'm officially launching my first new program in over 1 year. It's a completely new high-performance forecasting system that is built from the ground up to help you: 1. Make business decisions 2. Generate ROI 3. Actually save your company money $$$. Here's what's...
Turn ML Models Into Decision‑Ready Predictions Weekly
2026 AI/DS Career Survival Roadmap: 1. Learn Python + real data 2. Go from ML model → actionable prediction 3. Add AI → interpret + next actions 4. Decision-ready output (no meeting) 5. Rerunnable workflow (weekly)  Want the AI/DS workflow live (free)? https://learn.business-science.io/registration-ai-workshop-2
McKinsey Reveals Blueprint for Functional Agentic AI
🚨McKinsey just dropped how to build agentic AI (that works) Here's everything you need to know in 2 minutes:
Google's LangExtract: Free, Open‑Source Tool Beats $100K Solutions
RIP document extractors. Google just released LangExtract: Open-source. Free. Better than $100K enterprise tools. Here’s what it does: 🧵
Launch a $200k AI Career for Under $12
My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You literally can grow into a $200,000 career for less than $12/year. I’m teaching it live (free): 👉 https://learn.business-science.io/registration-ai-workshop-2
Two High‑Impact AI Projects, Not Ten, Secure $200K
You don’t need 10 AI DS projects. You need 2 that matter: 1. ML app that predicts something real 2. RAG + agent app that saves time for a team That’s a portfolio that will land you a $200K career. 👉Here's your 1st one: https://learn.business-science.io/registration-ai-workshop-2
BI Dashboards Are Dying; Prepare for the Next Wave
RIP BI Dashboards. Tools like Tableau and PowerBI are about to become extinct. This is what's coming (and how to prepare):
ML Model Builders Must Expand Beyond Pure Modeling
If your job is "I make the ML model", your job is cooked. You need to become more than that. This is how:
OpenDataLoader PDF: Trending Parser Boosts RAG Pipelines
Someone just open-sourced a PDF parser that converts documents to Markdown, JSON, and HTML — and it's currently the #1 trending repository on GitHub. It's called OpenDataLoader PDF. Here's why data scientists building RAG pipelines should pay attention.
Follow 5 Steps to a $200k AI Data Science Career
The 5-part path to a $200k AI DS career: 1. Code daily (Python) 2. Analyze real data 3. Make 1 portfolio ML app 4. Add LLM/RAG skills 5. Create AI DS Agents w/ LangGraph You literally can grow into a $200,000 career. This is how (register...