One poll and a behavioral model seemed to find patterns in the 2016 election that most polls
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Can microtargeting models and observed field data predict which candidate will win a state before votes are
Fraud detection with machine learning requires large datasets to train a model, weighted variables, and human review only as a last defense.
When a different analytic model is used in training versus deployment, results can be disastrous. Here's how to avoid the
Recommendation engines produce a lot of revenue for Amazon, Netflix and Facebook, but challenges include data dependency, trust, and lack of
A rock-solid business use case and data integration are pressing
How visual analytics helps businesses make better decisions, and what to look for when evaluating different
Businesses are increasingly moving to a hybrid cloud big data architecture. Here's
"The statistic we see again and again is that the cloud is not a great place for real-time
How ehealth turned to a web harvesting tool from Connotate to help its call centers complete calls quickly by finding the right