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Talking heads What's next for OTT multiscreen?

机译:会说话的人OTT多屏幕的下一步是什么?

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摘要

Almost every day, somebody in the TV industry will wonder what's next on the horizon for OTT multiscreen. This is not surprising given the success of content companies like HBO and Netflix. But the OTT multiscreen model is still evolving and key benchmarks that define what consumers want and are prepared to pay for stems not from linear TV but from Internet entrants. The likes of Amazon, Google and Facebook showcase the essence of the smart experience that many media brands aspire to. In part, these firms are responding to demand but they are also feeding and defining a certain level of expectation: a level of immediacy and responsiveness that TV traditionally has not yet exhibited. As we look to the future of OTT, such technological advancements are only set to continue dramatically enhancing the experience. TV consumers, like web users, have come to expect that providers will know what they want before they want it. In a correlation to Internet firms sifting data to deliver increasingly targeted ads and content, OTT needs to be able to analyse predictive data in realtime and use that data to drive experiences. Behind the scenes, these analytic systems cannot be built in isolation. The steps around creating and transforming content and the crucial content metadata and user behaviour have to be considered and built into processes and workflows. Like the internet pioneers truly know, data allows sellers to understand, serve and retain buyers more than almost anything -other than great content.
机译:几乎每一天,电视行业的人都会想知道OTT多屏显示器的下一步发展。鉴于HBO和Netflix等内容公司的成功,这不足为奇。但是OTT多屏模型仍在不断发展,关键的基准定义了消费者想要什么并准备为之付费,并不是线性电视而是互联网进入者。亚马逊,谷歌和Facebook之类的公司展示了许多媒体品牌渴望的智能体验的本质。这些公司在某种程度上对需求做出了响应,但它们也在满足并定义了一定程度的期望:电视传统上尚未表现出的即时性和响应性。当我们展望OTT的未来时,这种技术进步只会继续极大地增强体验。像网络用户一样,电视消费者已经期望提供商可以在想要之前知道他们想要的东西。与互联网公司筛选数据以提供越来越有针对性的广告和内容相关,OTT需要能够实时分析预测数据并使用该数据来推动体验。在后台,这些分析系统不能孤立地构建。必须考虑围绕创建和转换内容以及关键内容元数据和用户行为的步骤,并将其内置到流程和工作流中。就像互联网先驱真正了解的那样,数据使卖方能够理解,服务和留住买方,而不仅仅是内容丰富。

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