How content intelligence and machine learning are transforming media workflows

Abstract

The media and entertainment industry is undergoing a disruptive transformation in technology, business and monetisation models. This digital transformation is evident in many categories, including cloud-based workflows, internet protocol (IP)–based broadcasting, all IP media production, automated workflows that leverage metadata, content intelligence that exploits the power of analytics, indexing and search to streamline content distribution and consumption, etc. While many of these technologies were seen as being disruptive, the trend is only accelerating with the mainstream usage of machine learning and content intelligence giving rise to exciting new ways of conducting the media business. This paper examines the disruptive technologies of content intelligence and machine learning with selective use cases that are causing the most impact. Software and systems designs need to be reviewed in light of these developments. There is an urgent need to bridge the gap between the analytic world and the machine-learning world through proper orchestration rather than a mere handoff. The collection, analysis and processing of all varieties of data need to be streamlined in order to go from edge to outcome and derive useful insights. This paper will discuss the concepts of content intelligence as applied to media.