TECHNICAL
forecasting what content will perform well in terms of viewership and engagement. AI can help meticulously analyse user data, including viewing patterns, preferences and even real-time behaviour, to predict future content trends. The Potential Benefits of AI-Driven Predictive Content Discovery For Users: For users, it translates into a more personalised and satisfying viewing experience. Users are receiving fresh content that is not only aligned with their current preferences, but also takes future trends into consideration. This keeps users engaged and fosters long-term loyalty. For Providers: AI enables platform providers to make more informed content purchasing and creation decisions. For example, they can identify emerging genres or themes that are gaining popularity and strategically invest in content that aligns with these trends. This not only minimises the risk associated with content investments but also maximises the potential for user engagement and retention.
CONCLUSION AI Enables Informed Decision-Making for Future Content AI-driven predictive content discovery is poised to revolutionise how OTT platforms make content purchasing and creation decisions. By collecting user data and accurately predicting content trends, platforms can optimise their portfolios
more cost-efficiently while enhancing the user experience. In a landscape where the costs of content are a significant factor, AI-driven predictive content discovery is set to play a pivotal role in shaping the future decision-making process in the OTT TV landscape.
4. Offering a Seamless User Experience on OTT Platforms through AI-Powered Speech Recognition Systems The Changing Role of AI in Speech Recognition Systems
interact with technology and access information. This also has significant implications for the way we use and interact with OTT TV platforms. With the evolution of AI, speech recognition is well on its way to becoming part of all facets of OTT TV platforms. Besides the way users will discover, access and view content, it will also influence the production and analytic capabilities in OTT. The Value of Speech Recognition for OTT Users and Providers For Users: Speech recognition enhances the OTT TV user experience by offering a seamless and more intuitive means of accessing content. Users can effortlessly navigate, search for content and control playback using natural language commands. This eliminates the need for complex remote controls
or manual text input, making content discovery and interaction easier and more straightforward. Moreover, speech recognition enables hands-free control, allowing users to multitask and engage with content seamlessly. This also leads to better inclusivity, as voice commands make it easier for individuals with mobility impairments to control and navigate through the OTT platform. For Providers: The more natural and straightforward navigation through speech fosters increased interaction between users and OTT TV platforms. This opens opportunities to collect and analyse valuable data, leading to a deeper understanding of users and their preferences facilitating improved decision- making for future content, as well as optimising personalised recommendations and advertising.
Speech recognition converts spoken language into text or commands, allowing a broad range of devices to understand and respond to human speech. It involves the use of well-trained neurological networks to analyse and interpret audio signals, enabling interaction with devices through spoken words. In recent years, AI, particularly the improvements in ML and natural language processing (NLP) technologies, have significantly enhanced the capabilities of speech recognition systems. Thereby, these systems became more accurate, context-aware and capable of understanding natural language. They have extended to intelligent voice assistants, real-time speech translation and voice-controlled devices, fundamentally changing the way we
Volume 48 No.1 MARCH 2026
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