newsletterSeptember 3, 2026·Towards Data Science

How to Solve the Right Problem in the Age of Agentic AI

A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the Age of Agentic AI appeared first on Towards Data Science.

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•A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the Age of Agentic AI appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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My Model Worked Perfectly. Then I Tried to Make It Useful.

Turning a trained churn classifier into a FastAPI service that other software can actually call. The post My Model Worked Perfectly. Then I Tried to Make It Useful. appeared first on Towards Data Science.

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Tables in PDFs for RAG: Don’t Flatten the Grid

Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree The post Tables in PDFs for RAG: Don’t Flatten the Grid appeared first on Towards Data Science.

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Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting

I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation. The post Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting appeared first on Towards Data Science.

Towards Data Science

Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made safe. What follows is the architecture that was left once the matcher was set aside. The post Avoiding Entity Key Drift in a Data Lake: Step 2, When F

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How to Solve the Right Problem in the Age of Agentic AI

Key Takeaways

Related Articles

My Model Worked Perfectly. Then I Tried to Make It Useful.

Tables in PDFs for RAG: Don’t Flatten the Grid

Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting

Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

Discussion

How to Solve the Right Problem in the Age of Agentic AI

Key Takeaways

Related Articles

My Model Worked Perfectly. Then I Tried to Make It Useful.

Tables in PDFs for RAG: Don’t Flatten the Grid

Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting

Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

Discussion

Related Articles

Towards Data Science
My Model Worked Perfectly. Then I Tried to Make It Useful.
Turning a trained churn classifier into a FastAPI service that other software can actually call. The post My Model Worked Perfectly. Then I Tried to Make It Useful. appeared first on Towards Data Science.

Towards Data Science
Tables in PDFs for RAG: Don’t Flatten the Grid
Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree The post Tables in PDFs for RAG: Don’t Flatten the Grid appeared first on Towards Data Science.

Towards Data Science
Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting
I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation. The post Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting appeared first on Towards Data Science.

Towards Data Science
Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working
I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made safe. What follows is the architecture that was left once the matcher was set aside. The post Avoiding Entity Key Drift in a Data Lake: Step 2, When F