Version 1.4 adds new machine learning algorithms, AI-powered feature engineering from geo-temporal data, and enhances automated data preprocessing and data collection.
Most enterprises can't fully leverage their data because they haven't established policies that build trust in the data and in collaboration.
- By Rami Chahine
- March 18, 2019
Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.
- By Philip Russom
- March 15, 2019
Learn about data applications for big retailers, modern marketing, and customer retention in these articles.
- By Upside Staff
- March 14, 2019
Sports are full of numbers and statistics, so the subject serves as fertile ground for experimental visualizations.
- By Upside Staff
- March 13, 2019
AI and machine learning can predict security vulnerabilities, foil security protections, and create a picture of the whole patient.
- By Upside Staff
- March 12, 2019
Extract value more rapidly by using a structured, four-step approach to move advanced analytics closer to the data.
- By Chisoo Lyons
- March 12, 2019
A cloud database must be designed and developed from the ground up to have these five critical characteristics.
- By Chris Anderson
- March 11, 2019