ai / ml

dotData Insight: Melding the Power of AI-Driven Insight Discovery & Generative AI

Introduction Today, we announced the launch of dotData Insight, a new platform that leverages an AI-driven business signal discovery engine…

11 months ago

Boost Time-Series Modeling with Effective Temporal Feature Engineering – Part 3

Introduction Time-series modeling is a statistical technique used to analyze and predict the patterns and behavior of data that change…

1 year ago

Practical Guide for Feature Engineering of Time Series Data

Introduction Time series modeling is one of the most impactful machine learning use cases with broad applications across industries. Traditional…

1 year ago

Maintain Model Robustness: Strategies to Combat Feature Drift in Machine Learning

Introduction Building robust and reliable models in machine learning is of utmost importance for assured decision-making and resilient predictions. While…

1 year ago

The Hard Truth about Manual Feature Engineering

The past decade has seen rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML) across different industries and for…

1 year ago

Feature Factory: A Paradigm Shift for Enterprise Data

The world of enterprise data applications such as Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) is becoming…

2 years ago

Preventing Data Leakage in Feature Engineering: Strategies and Solutions

Data leakage is a widespread and critical issue that can undermine the reliability of features. In this blog, we will…

2 years ago

Feature Engineering from Geo-Spatial Data

Geospatial data, combining geographic and spatial information, is becoming increasingly important in various industries, from transportation and logistics to urban…

2 years ago

Power your Feature Store using Automated Feature Engineering

Why are enterprise feature stores empty? The notion that “data is the new oil” has existed for a while. The…

2 years ago

Feature Engineering from Multi-Valued Categorical Data

Introduction Multi-valued categorical data is ubiquitous and critical to businesses across multiple industries. Most real-world data that businesses store is…

2 years ago

Feature Engineering for Temporal Data – Part 2: Types of Temporal Data

Temporal data is one of the most common and essential data types for enterprise AI applications, such as demand forecasting,…

2 years ago

Feature Engineering for Temporal Data – Part 1

An overview of common time-series modeling techniques Time-series (or temporal) data are among the most common and essential data types…

2 years ago