Datapine Blog

AUGUST 29, 2022

2) Designing Data-Intensive Applications by Martin Kleppman. Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process.

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105

Netbasequid

JULY 24, 2023

Ability to Predict What if you could predict the future? Predictive analytics is a branch of advanced AI-powered analytics that helps you do just that. Using historical data with statistical modeling, data mining, and AI, you can come very close to owning a crystal ball.

Pharmaceutical 52

Pharmaceutical Business Competitor Analysis Competitive Landscape 52

Zoominfo

MAY 14, 2020

Predictive intelligence falls under the artificial intelligence umbrella. It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. We asked, “Which data points predict higher conversion rates and more sales?”. Type #1: Fit Data.

Intelligence 162

Intelligence Intelligence Predictive Analytics Profiling 162

Zoominfo

MAY 14, 2020

Predictive intelligence falls under the artificial intelligence umbrella. It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. We asked, “Which data points predict higher conversion rates and more sales?” How exactly does that work?

Intelligence 113

Intelligence Intelligence Predictive Analytics Profiling 113