Spam goes Bam! How AI helps clear up your mailboxes of clutter.
A report states that more than 300 billion emails were sent and received each day in 2020, and this figure is expected to increase by over 361 billion emails daily in 2024. Spam mails contribute majorly to this exponential increase in mail. Most spam emails are annoying and time-consuming, but some spam emails can be very dangerous to deal with. Spammers regularly modify their methods and messages to trick potential victims into downloading malware, sharing data, or transferring money. Spam emails are almost always commercial and financially motivated. Cleaning spam emails manually can be tricky and time-consuming. The prominence of chat apps, subscriptions, and incessant promotions mail, are the major reasons for the increase in spam emails. Therefore, machine learning technology is required to automate the task of filtering spam emails. AI-powered tools and algorithms are deployed to clear off spam mail.
There are several ways to use AI to eliminate spam emails-
- Filtering: AI algorithms can be trained to recognize spam emails based on specific characteristics such as sender, subject, and email content. Once these characteristics are identified, AI can automatically filter out spam emails, move them to another folder, or delete them entirely. AI systems are designed to learn from past behaviors and experiences, making them highly effective at detecting the presence of spam.
- Email Verification: Use AI to verify the authenticity of your emails by checking for signs of spoofing and phishing. This helps prevent spam emails from reaching recipients’ inboxes. AI works to filter incoming emails, which eliminates the need for manual monitoring of incoming messages. This allows organizations to focus their efforts on more important tasks. AI can also be used to detect the source of a spam email, allowing organizations to identify and stop malicious senders. This can help to prevent future spam emails from being sent to a user’s inbox. Additionally, AI can be used to monitor the reputation of email addresses, allowing organizations to determine if a sender has a history of sending malicious or inappropriate content.
- Natural language processing: AI can be used to analyze the language used in an email to determine whether it is spam or legitimate. This allows you to catch spam emails that slip through your filters. AI also applies sophisticated algorithms that can detect spam content, analyze images and videos, and determine whether the messages contain malicious attachments. This enables AI systems to block spam emails that contain threats, as well as content that may be inappropriate for the recipient.
- User Feedback: Some email clients allow users to mark emails as spam. This feedback can be used to train AI algorithms to accurately detect spam emails. Over time, AI will become more effective at identifying and filtering spam emails.
Filtering of spam mail has to be done with consideration, as it also affects the businesses that do not send spam mail. Nonprofit organizations lose $15k/year in donations due to spam filters blocking fundraising campaign emails. Spam mails do not have a framework, the datasets need to be trained using specific words and phrases so that spam mails can easily be flagged out and gets deleted.
Finally, AI can help increase the speed and accuracy of identifying and blocking spam emails. AI systems can quickly identify and block incoming messages that look suspicious. This allows organizations to respond to threats more quickly and effectively.
In summary, AI has become an essential tool in the fight against spam emails. Using sophisticated algorithms and AI technology, businesses can improve the accuracy and speed of identifying and blocking spam emails. This helps protect users from malicious content and improves overall productivity.