Smart Data Collective

APRIL 20, 2019

Data Floq made this point clear in a post they made in 2016. They can track engagement patterns from websites, focus groups and other interactions. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

CIO Business Intelligence

APRIL 15, 2022

In March 2016, Microsoft learned that using Twitter interactions as training data for machine learning algorithms can have dismaying results. The idea was the chatbot would assume the persona of a teen girl and interact with individuals via Twitter using a combination of machine learning and natural language processing.

Analytics 141

Analytics Machine Learning Insurance Testing 141

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. For example, in October 2016 Wells Fargo and The Commonwealth Bank of Australia made history by using blockchain to facilitate paying for a shipment of cotton from the U.S.

Technology 279

Technology Internet of Things IT IoT 279

Smarten

JUNE 15, 2022

The reason they can do this is simple: the tools provided for this purpose are designed for human interaction. But, analytical tools often fail to provide that same support. Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018?

Analytics 52

Analytics ROI Data-driven Sales 52

Smart Data Collective

DECEMBER 19, 2019

In 2016, A Facebook bot tricked more than 10,000 Facebook users. The AI-enabled antiviruses utilize ML techniques to understand and learn how legitimate programs interact with an OS. The main objective here is to understand and learn how the user interacts with the system. Thus, thousands of Facebook accounts were hacked.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. A modern BI platform supports IT-enabled analytic content development. You can read about them in the Magic Quadrant for BI and Analytics Platforms and in the Critical Capabilities for BI and Analytic Platforms.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40