Home News Technical Machine learning to be used for content writing
29 April, 2021
Machine learning is considered the most productive innovation since its invention. Now, machine learning is stepping up towards AI content writing. It will include productive changes like Al algorithm-based replies, grammar checks, and much more. Expert says it will be beneficial for businesses, but can ruin the careers of content writers.
Machine learning means an AI algorithm that learns and adapts computer algorithms automatically. This technology is serving businesses as well as normal individuals with convenient features. From text analytics to call verification, we all use machine learning technology every day.
Now, as the technology is upgrading, engineers are developing machine learning technology to write accurate content as per requirements. You might see AI content creation in various fields. Let’s take instant reply to emails for better understanding. Whenever we get an email that contains a question or invitation, AI automatically shows suggestions to give an instant reply. Meanwhile, the technology was creating robotic content with a fixed essence.
According to IEEE, the latest development in machine learning will allow you to create senseful content with accurate essence and intentions. The authority stated that it has countless potential to write productive content for essays, articles, blogs, and related things. It is expected that AI content writing will include but not be limited to error-free text, quick translation, and SEO-friendly content. Along with that it will edit and proofread existing content to make it more accurate according to requirements.
Machine learning-based content writing will help businesses with promotable content in a couple of clicks. According to a survey, more than 70% of digital marketing agencies will opt for machine learning instead of investing in content writers. It will save their cost and provide them accurate content for their business. However, 90% of human content writers will lose their livelihood if the industry adopts the technology.
