AI and Machine Learning Take the Lead: Revolutionizing Media Monitoring Industry.

The Role of AI and Machine Learning in Media Monitoring

Artificial intelligence and machine learning are rapidly becoming integral parts of the media monitoring industry, automating brands’ data tracking and analysis processes. In a world constantly generating trillions of data, AI and machine learning enable companies to quickly identify mentions and trends that are important and relevant to their business units.  

While traditional media monitoring practices have served us well in the past, the pure volume of data generated by today’s increasing number of media sources has forced the industry, and its methods, to evolve. On its own, traditional monitoring involves a tedious process of manually sifting through large amounts of data, which can be time-consuming and error-prone.  

AI and machine learning, on the other hand, can analyze data in real time and identify relevant mentions and trends automatically. Making it possible for companies to stay up to date with the latest developments and respond quickly to any issues that arise.  

An AI and machine learning assisted monitoring service allows for a more accurate and nuanced data analysis. Traditional media monitoring methods are often based on keyword searches, which can result in a large number of irrelevant mentions being included in the analysis consequently leading to misinformed decision-making. AI and machine learning, on the other hand, can use natural language processing (NLP) techniques to understand the context of mentions and identify only those that are truly relevant.  

In addition, it can also be used to predict future developments and trends in the media, based on past data and patterns. This helps companies to anticipate potential issues and opportunities, allowing them to be better prepared to respond.  

Learn more about the opportunities (and downfalls) of AI and machine learning here.