New & Notable
Predictive analytics News
October 06, 2020
Tableau adds AI power via an integration with Salesforce's predictive BI tool, the first collaboration between Salesforce and Tableau since the CRM giant acquired the BI vendor.
September 17, 2020
While minor injuries are on the decline in the construction industry, the rate of fatalities has remained flat, and BI could be a way to bring those numbers down.
September 16, 2020
Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.
August 12, 2020
A new data preparation tool and enhanced predictive modeling capabilities highlight analytics software vendor Tableau's third-quarter platform update.
Predictive analytics Get Started
Bring yourself up to speed with our introductory content
Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store. Continue Reading
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Continue Reading
Association rules are 'if-then' statements, that help to show the probability of relationships between data items, within large data sets in various types of databases. Continue Reading
Evaluate Predictive analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
From marketing to healthcare, looking at past data can be beneficial to forecasting future trends. Read on to understand the most popular use cases for predictive analytics today. Continue Reading
Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. Continue Reading
While some data-driven methods recently have been publicly scrutinized for biases in practice, there are plenty of ways data can aid the fight for racial equity. Continue Reading
Manage Predictive analytics
Learn to apply best practices and optimize your operations.
With all the data organizations collect now, they need a good way to analyze it, and that's where predictive and prescriptive analytics can be useful. Continue Reading
Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading
Problem Solve Predictive analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
Intelligent storage is all the rage. Discover how predictive analytics for storage, AI and machine learning makes storage infrastructure more flexible and cost effective. Continue Reading
Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules. Continue Reading