AIManagement

Mapping a media lifecycle landscape within BI and MAM systems

To deliver content across multiple platforms and devices, media companies are required today to develop several different workflows. However, business intelligence (BI) and media asset management (MAM) systems have the capability to manage the entire content lifecycle, streamlining them into one workflow.

During this Fourth Industrial Revolution, where emerging technologies — such as the Internet of Things (IoT) and artificial intelligence (AI) — are creating new possibilities in enhancing production techniques, traditional media companies are facing an even more challenging period. A wave of technology changes is impacting their business models, compelling them to transform and redevelop their strategies in order to cater to audiences in the digital space.

For decades, the single and direct way of TV broadcasting has set the bar in media and entertainment. In today’s digital era, however, the Internet has brought significant changes to consumers’ viewing habits, with audiences heightening their expectations in terms of accessibility to quality content and programming.

And with more connected devices, coupled with the continued rise of social media, media companies have to react quickly to audiences’ changing behaviour by accelerating their pace of innovation, which requires fluid modes of content creation and distribution methods.

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