Tag: Data Analytics
Why Enterprise AI Agents Need Data Governance Before Autonomy

Why Enterprise AI Agents Need Data Governance Before Autonomy

I built a prototype for a natural language query agent a few months ago. It basically revolves around you typing a business question in plain English and getting an answer right out of the data platform. I was thinking that the main challenge of such project would be...

Batch to Streaming: What Actually Breaks (and When It’s Worth It) 

Batch to Streaming: What Actually Breaks (and When It’s Worth It) 

Right now, somewhere in a planning meeting, someone’s asking “can we make this real-time” and everyone’s nodding. Sounds much better, obviously. New data. Fast decisions. Dashboards on the move. Who would advocate for slower?  I’ve made this jump a few times in...

How AI-Driven Personalization Improves Email Engagement at Scale

How AI-Driven Personalization Improves Email Engagement at Scale

With the .com boom of late 90’s and early 2000’s and wide adoption of email across the World, capturing the attention of users through an email was fairly easy compared to the current saturated digital space.  Increasing volume of promotional content within...

When 2 stage model breaks causal inference 

When 2 stage model breaks causal inference 

A subtle selection bias in machine learning-based causal inference can flip your results — here’s how to spot and fix it  Machine learning is great at predicting outcomes. But when we try to use it to estimate causal impact, especially in a two-stage setup,...

Transforming city services using AI

Transforming city services using AI

Ana Arias, Geographic Information Systems Analyst at the City of Coral Gables, was a speaker during the DSS MIA 2024 conference. Her talk about transforming public services using AI was an inspiring and refreshing session between business- and technology-focused...

The Foundation of Machine Learning: Linear and Logistic Regression

The Foundation of Machine Learning: Linear and Logistic Regression

Regression is one of the most important techniques in predictive modelling. It is usually the gateway into the world of data science and machine learning, offering a perfect balance of simplicity and power. Whether you're forecasting next month's sales figures or...

Introduction: From Simple to Multiple Linear Regression

Introduction: From Simple to Multiple Linear Regression

In our previous post, we introduced Linear Regression, a fundamental technique used to predict outcomes based on a single factor—such as estimating house prices based on square footage. We also discussed essential performance metrics like Mean Squared Error (MSE) and...

Unlocking insights: The art and science of data visualization

Unlocking insights: The art and science of data visualization

In the digital age, where data accumulates boundlessly, distilling complex datasets into comprehensible and compelling narratives isn’t just beneficial, it’s indispensable. This article ventures through the realm of data visualization, highlighting the fusion of...