Non-Brand Data

Python 3.14: 12 Features You Can Use Today

The addition features you should not miss

Oct 22 • 

Cornellius Yudha Wijaya

5

Building AI-Ready Data

The Preparation and Real Work Before the Modelling

Oct 17 • 

Cornellius Yudha Wijaya

6

10 Lessons Learned from Building Predictive Models

Subtle yet applicable lessons you should applied to be a better data scientist

Oct 13 • 

Cornellius Yudha Wijaya

3

Common Challenges in Operationalizing Models (and How to Overcome Them)

Most data teams hit the same roadblocks when operationalizing models. Knowing what they are changes everything.

Oct 5 • 

Cornellius Yudha Wijaya

4

2

From Draft to Deployed: My Full Workflow for Building & Shipping a Predictive Modeling Product

See how a full predictive modeling product gets built and shipped.

Oct 2 • 

Cornellius Yudha Wijaya

4

September 2025

Why Most Data Analysis Is Just Fancy Guesswork

Some truth you need to know about working with data

Sep 18 • 

Cornellius Yudha Wijaya

8

OpenSearch in 5 Minutes: A Practical Introduction

An overview of the open search stack

Sep 16 • 

Cornellius Yudha Wijaya

4

The Five AI Trends Already Underway and Will Become Bigger

Don't miss these trends if you want success in the AI industry

Sep 3 • 

Cornellius Yudha Wijaya

16

August 2025

23 RAG Pitfalls and How to Fix Them

Few things that you need to avoid when working with your RAG applications

Aug 28 • 

Cornellius Yudha Wijaya

13

2

What Is Graph Machine Learning and Why It Matters

Few things you should know when working on the graph

Aug 8 • 

Cornellius Yudha Wijaya

11

1

July 2025

12 Free Tools That Automate the Boring Parts of Data Work

The tools that you never know you need until now

Jul 10 • 

Cornellius Yudha Wijaya

9

June 2025

21 Python Standard-Library Gems for Data Work You’re Probably Re-implementing

Boost Your Data Science Workflow with These Built-In Python Tools

Jun 23 • 

Cornellius Yudha Wijaya

8