- August 02, 2019
Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics.
- July 10, 2019
With AI in advertising and marketing, companies can provide potential customers with more personalized results, while also increasing engagement rates.
- June 24, 2019
With its latest update to Power BI, Microsoft showed its commitment to its business intelligence platform and maintained its position as an industry leader.
- May 03, 2019
The spotlight at SAS Global Forum 2019 was on the vendor's Viya analytics tools, which are getting new functionality and licensing options meant to spur deployments.
- April 30, 2019
A new version of the SAS analytics platform adds a variety of AI features to SAS Viya, the cloud-based software that SAS hopes will secure its place in the AI future.
- April 10, 2019
Google introduced a raft of updates to its cloud-based machine learning and AI products, including expanded capabilities for its AutoML and BigQuery ML tools.
- October 12, 2018
With Looker 6, users of the BI platform can now access packaged applications that are designed for uses such as web analytics and digital marketing analytics.
- March 23, 2018
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
- January 17, 2018
The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
- December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
- September 14, 2017
Breaking down data silos is rarely easy, but doing so can lead to more effective analytics that bring together data from all of a business's operational systems.
- February 06, 2017
Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.
- October 27, 2016
There's a huge amount of excitement around IBM's cognitive computing tools, but users are still looking for ways to implement them in their businesses.
- October 13, 2016
In the world of the internet of things, it's one thing to gather mountains of data from an ever-increasing multitude of sensors, appliances, vehicles, smart personal devices and industrial equipment. It's quite another thing to liberate congested ...
- October 06, 2016
Data scientists at Capital One and BuildingIQ use data visualizations to help guide their efforts in developing, training and modifying predictive models for use in advanced analytics applications.