Spam

Predict Spam Using Machine Learning Classification

­­In this blog we will use a classification approach for predicting Spam messages. A classification approach categorizes your observations/events in discrete groups which explain the relationship between explanatory and dependent variables which are your field(s) to predict. Some examples of where you can apply classification in business projects are: categorizing claims to identify fraudulent behaviour,  predicting best retail location for new stores, pattern recognition and predicting spam messages via email or text. Read more

Splunk Enterprise 7.2 New Features

Splunk Enterprise 7.2 is the latest release from Splunk and was made available during Splunk .conf18 in Orlando. Many new features were added which will improve Splunk Enterprise from administration and user experience, to analytics and data onboarding. Read more

Splunk Trust

Josh Diakun Inducted into the 2019 SplunkTrust

2019 splunk trustDiscovered Intelligence is proud to announce that co-founder and Partner Josh Diakun was inducted into the 2019 SplunkTrust class at this year’s Splunk .conf18!

SplunkTrust members are the most dedicated members of the Splunk community. They assist other members, participate in events, demonstrate the power of Splunk’s products and services, and help identify future product needs.

As a leader at Discovered Intelligence, Josh demonstrates these values every day and it is an amazing recognition of the contributions he has made.

Congratulations Josh! We look forward to seeing you with your Fez!