Machine Learning changes the Information Technology world (IT). New risks and opportunities are popping up. There is an upsurge in the volume of unsolicited bulk emails (UBEs). These spam emails may include malware. Furthermore, phishing emails falsely claim knowledge of users’ personal information to facilitate identity theft. Thus, there is a need to use Artificial Intelligence (AI) to develop more robust and dependable UBE filters that enable the automatic detection of such emails.
The uses of Machine Learning in Information Technology
Analytics and Machine Learning models are extensively used by leading internet service providers like Yahoo, Gmail, and Outlook to filter out UBEs. Due to the advances in analytical techniques, there are many options to consider. Data analytics, based on big data or not, aims to provide solutions to filter email based on content. Deep learning, trained on data collected, can identify UBEs.
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