One of the constant challenges of OTT services is how to attract and acquire new subscribers while holding on to existing subscribers. Thanks to improvements in technology, user behavior can now be better forecasted and anticipated with help of predictive analytics, using advancements in ML and AI.
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The amount of video content being distributed is only going in one direction – and that is up. Over half the global IP video traffic (56.8%) will be HD and around a quarter (22.3%) will be Ultra HD by 2022 according to Cisco.
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Media content delivery is changing. During the COVID-19 pandemic, OTT video consumption soared to new heights, and that trend will continue into the future.
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The Merriam Webster dictionary defines metadata as “data that provides information about other data”. Some call it “bits about bits”.
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Large broadcast news operations ingest huge volumes of content every day, all of which must be logged and reviewed to determine which assets, illustrated by which video clips, will be presented to viewers. It’s a tedious and time-consuming task, performed by dedicated teams who manually review incoming content and then describe or notate that content, which producers later access to produce finished news segments.
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What separates the terms ‘decision’ from ‘choice’? The general consensus is: judgement and deliberation.
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Data metaphors are a dime a dozen today, but they do make a point. Data is truly the driving force in today’s business world, where insights on consumer behaviour drive go-to-market strategies. Nowhere is this more apparent than in the highly competitive Media and Entertainment industry, where viewership trends rule the roost.
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Mark Moeder is the CEO of Symphony MediaAI, a US-based company specialising in revenue optimisation technology for media and entertainment. Symphony MediaAI has been at the forefront of revenue optimisation for over thirty years and has earned a reputation as the most trusted name in the industry.
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IABM Adoption Trends reports annually track the adoption of specific emerging technologies within the broadcast and media sector.
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This Briefing focuses on identifying the most important investment drivers in Manage & Support, including the move to cloud-based platforms and data-driven workflows.
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