Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Business Over Broadway

SEPTEMBER 27, 2018

Integrated data sets (those in the upper right quadrant) allow you to know a lot of things about all your customers. Analytics applied to these types of data help you generate better predictive models because your integrated data contain all the key variables that are useful in predicting customer churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

DataRobot

JANUARY 13, 2022

It’s easy to deploy, monitor, and manage models in production and react to changing conditions. And any predictive model can become an AI app in minutes—no coding required. Determining demand, optimal price, and how much of each kind of product to have available when new products enter the market. Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52