feature engineering

Automated Feature Selection Methods to Assess Client Risk

In industries like Financial Services, Housing, and Insurance, the automated scoring of client risk can provide critical benefits. By quantifying…

2 years ago

An Improved Approach to Time-Series Forecasting

New automated feature engineering tools remove the need to choose between accuracy and interpretability. Revenue and demand forecasting are among…

3 years ago

Reflections from ODSC East 2021

This was the second year in a row that the premier data science conference went virtual due to the Covid-19…

4 years ago

Is The Pace Of AI Development Slowing Down?

Got Data Science Platform, Visualization, and MLOps Tools, yet struggling with scaling AI? Feature Engineering holds the key to faster…

4 years ago

The 10 Commandments of AI & ML (P1)

  Building an enterprise AI application is problematic. Scaling ML and getting user adoption is even more challenging. Here are…

4 years ago

Demystifying Feature Engineering for Machine Learning

What is Feature Engineering FE is the process of applying domain knowledge to extract analytical representations from raw data, making…

4 years ago

What IS Feature Engineering?

What Is Feature Engineering?(And Why Do We Need To Automate it?) The past few years have seen the rapid rise…

5 years ago

AutoML and Beyond – Part 2

Watch Part 2 (the Conclusion) of "AutoML and Beyond." With AutoML trending in data science, our CEO spoke at #Ai4Finance…

5 years ago

AutoML and Beyond – Part 1

With AutoML trending in data science, our CEO spoke at #Ai4Finance on data preparation, aggregating tables, feature engineering, the #AutoML…

5 years ago

Ai4 Finance: dotData CEO Promotes Automated Feature Engineering

We are proud to share a few photos from the #Ai4Finance2019 New York Conference.  With such a great turnout, our…

5 years ago