From Questions to Insights: Data Analysis with LangChain’s Built-In Tools
Author(s): Vahe Sahakyan Originally published on Towards AI. In the first two articles of this series, we established why tools are essential for agentic systems and how those tools are constructed and orchestrated inside agents. What we deliberately avoided until now is …
Customer Segmentation and Retention Strategy using Transactional Data
Author(s): Samith Chimminiyan Originally published on Towards AI. So what is it? You will be definelty heard of the term Churn Prediction. Photo by Blake Wisz on Unsplash Churn prediction uses data analysis and machine learning to identify customers likely to stop …
DAX Measure Library Architecture: From Messy to Maintainable
Author(s): Gulab Chand Tejwani Originally published on Towards AI. How we stopped wasting $93,600 per year searching for measures we’d already built The Slack message appeared at 2:37 PM on a Tuesday. DAX Measure Library ArchitectureThe article discusses the author’s struggle to …
Why Your Power BI Report is Slow: A 10-Minute Performance Audit
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The diagnostic framework that helped me fix a 43-second dashboard in 30 minutes — and saved my job The email came at 9:47 PM on a Thursday. Why Your Power BI Report is …
How I Automated Sales KPI Reporting with n8n and Cut 99% of Manual Work
Author(s): Apoorvavenkata Originally published on Towards AI. Every sales organization depends on understanding which distributors perform best and which items drive the most volume. Yet in many analytics teams, this information remains trapped in spreadsheets, requiring manual cleanup, complex formulas, pivot tables, …
How a Single DAX Measure Saved Our Client $2.3M in Inventory Costs
Author(s): Gulab Chand Tejwani Originally published on Towards AI. The hidden cost of “almost accurate” data — and the Power BI solution that changed everything It was 11 PM on a Tuesday when my phone rang. The VP of Operations at a …
The Rise of Composable Data Teams
Author(s): Tobi Beck Originally published on Towards AI. Post 6 of the series “Reinventing the Data Team in the Age of AI” About this series: AI is fundamentally reshaping what it means to work in data. From empowering analysts to build pipelines …
K-Means Clustering — What Every Data Scientist Should Know
Author(s): Aamir Raja Originally published on Towards AI. Discussing and simplifying intricacies of K-means clustering for machine learning. Photo by Igor Omilaev on Unsplash K-means clustering. What exactly is this? It’s an extremely useful machine learning model that creates clusters in order …
Performance Optimization in NumPy (Speed Matters!)
Author(s): NIBEDITA (NS) Originally published on Towards AI. Hey guys! Welcome back to our NumPy for DS & DA series. This is going to be the 9th article of this series. In our previous article, we discussed Generating Random Numbers with NumPy. …
Beyond ML Loss Function: Cost Functions and Hypothesis Testing in Supply Chain
Author(s): Siddharth Mahato Originally published on Towards AI. Understand how Cost Functions and Statistics can help you go beyond accuracy with visuals and examples. Source: Image on Unsplash Manufacturing is a large and crucial part of the economy. It involves processing and …
Multi-Agent Workflows & The Right Data Foundation for The Next Evolution of Enterprise AI
Author(s): Tobi Beck Originally published on Towards AI. Single AI agents are hitting enterprise limits, but multi-agent workflows unlock 3–5x better performance through specialized collaboration — if you solve the data foundation challenge first. Source: Image by the author While most enterprises …
How I Use AI to Make My Data Analyst DREAM Come True
Author(s): Henry Originally published on Towards AI. Leveraging AI as a Data Analyst: Practical Prompt to Advance Your Career Whether you’re already a data analyst or just aspiring to become one, you must know the importance of working with AI. Photo by …
Beyond Pandas: The Modern Data Analytics and Engineering Techniques With Python (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Outline Introduction The Data Size Decision Framework & Comprehensive Decision Flowchart A Diagrammatic representation based on Team Syntax Preference, and Performance or Integration Requirements Real-World Examples: Log file Analysis, E-commerce instance …
As a Data Analyst, How I Use AI to Get Information from YouTube Efficiently
Author(s): Henry Originally published on Towards AI. Tired of endless tutorials? Stop Spending 20 Minutes Watching Videos Just for a 2-Minute Answer People watch YouTube for many purposes. In this article, we are not talking about watching YouTube for fun, such as …
Build an EDA Playground with Streamlit
Author(s): Himanshu Sharma Originally published on Towards AI. A hands-on guide to building your own Data Prep & Visualization app with Streamlit We’ve all been there: excited to try a new model on a fresh dataset, only to spend hours filling missing …
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