By Ritu Dhawan
An alternative approach by which AI is redefining the newsroom of tomorrow is by differentiating the news experience for each Viewer The incorporation of AI algorithms in news creation methods can make tasks simpler such as data presentation, content creation, and Fact-check. By leveraging the potential of machine learning and natural language processing, news groups can produce custom-made content for their audiences in real-time, guaranteeing an engaging and tailored news experience.
One of the fundamental advantages of amalgamating AI with CTV in the newsroom has not only enhanced efficiency and productivity but has also revolutionized content delivery and audience engagement. This permits journalists to concentrate on artistic and multifaceted storytelling. AI-powered tools can deal with massive quantities of statistics in minutes, classifying trends, patterns, and insights that otherwise go unobserved. This not only unburdens journalists to organize in-depth examinations but also aids news institutions dispense breaking news faster than ever before. In addition, AI can enrich the characteristics of news content by fact-checking figures, identifying prejudice, and being responsible for context for complex news stories.
The fusion of artificial intelligence (AI) and Connected TV (CTV) is transforming the newsroom of tomorrow by presenting exceptional levels of proficiency, efficiency, and relevancy. In the realm of Connected TV (CTV), personalized content delivery has become the cornerstone of audience engagement. CTV platforms/manufacturers leverage AI algorithms to understand viewer preferences and behaviours, offering tailored content experiences that resonate with individual tastes. By tracking viewing patterns and analysing user interactions, news organizations can effectively recommend content personalized to each viewer, fostering greater viewer satisfaction and loyalty.
This personalized approach not only enhances viewer engagement but also provides news organizations with invaluable insights into their audience demographics and preferences. Armed with this knowledge, newsrooms can adapt their content strategies to better serve their audience, ultimately strengthening their brand value and relevance in the media landscape.
Moreover, CTV technologies can support news organizations to put forward premium content for subscribers, making available exclusive rights for in-depth reporting, analysis, and commentary. By leveraging AI and CTV in this way, newsrooms can branch out their income streams, decrease dependency on traditional advertising models, and design sustainable business models for the time ahead. Furthermore, the synergy between AI and CTV has led to a significant increase in TV viewing watch hours, driven by the personalized and engaging content experiences offered by CTV platforms. As viewers are effortlessly recommended content based on their interests and viewing habits, CTV becomes synonymous with convenience, accessibility, and enhanced viewer satisfaction.
In conclusion, the integration of AI and CTV technologies marks a pivotal moment in the evolution of newsrooms, ushering in a new era of efficiency, personalization, and audience engagement. As news organizations continue to harness the power of these technologies, the future of media consumption promises to be more dynamic, interactive, and tailored to the individual preferences of viewers.
The author is managing director, India TV