In this blog post, you'll learn how to use our new Github Action to continuously deploy models from an ML repository to Algorithmia.
Your log analysis solution works through millions of lines of logs, which makes implementing a machine learning solution essential. Organizations are turning to machine learning log alerts as a replacement or enhancement of their traditional threshold alerts. As service uptime becomes a key differentiator, threshold alerts are only as good as your ability to foresee an issue.
In a discussion between Ben Harrison, Director SOC and Security Services at Cygilant and Jake McCabe, CISSP, Presales Director at LogPoint, we summarize why machine learning and a SOC go hand in hand. Traditional SIEMs offer a rules-based approach as it looks for alerts. Because you can easily write a search, it’s very good at picking out known-bad entities. However, there are certain things that can occur which are not so black and white.
The pandemic hit companies of every size and industry. Learn how top IT professionals are altering their focus on artificial intelligence and machine learning.
Tapping into more compute power is the next frontier of data science. Data scientists need it to complete increasingly complex machine learning (ML) and deep learning (DL) tasks without it taking forever. Otherwise, faced with a long wait for compute jobs to finish, data scientists give in to the temptation to test smaller datasets or run fewer iterations in order to produce results more quickly.
