In the context of enhancing an anti-spam service for a global social media platform, which currently uses a static list of 200,000 keywords to flag potential spam posts, the company is considering integrating machine learning to improve the accuracy and efficiency of spam detection. The platform processes millions of posts daily, requiring a solution that is scalable, cost-effective, and capable of adapting to evolving spam tactics without significantly increasing the workload on human reviewers. Given these constraints, what are the two primary advantages of integrating machine learning into the spam detection process? (Choose two.)