The 2024 edition of the UEFA European Football Championship was one of the most streamed sporting events of all time. The month-long pan-European tournament attracted a global audience. The spectacle of nations pitted against each other in a series of make or break knockout matches had viewers on the edge of their seats.
Yospace monetized the event with dynamic ad insertion across four continents, the data from which provided a unique global view of streaming trends and their impact on advertising as each moment of drama unfolded.
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Getting content delivery right is a top priority for broadcasters and media providers, with security being a critical, non-negotiable aspect. Broadcasters are increasingly turning to cloud playout to manage the complexities of delivering content to a diverse range of platforms and devices, and so it’s critical that cloud playout systems operate to the highest security standards. Not only do broadcasters need to protect their content and channels from unauthorized access, cyber-attacks and data breaches, but these security threats are constantly evolving as attackers adapt and seek to exploit different vulnerabilities in broadcast systems. And so, for broadcasters wanting to use cloud playout, the inevitable question arises: how can they ensure their content remains secure?
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As broadcasters continue their IP transition and take advantage of the commanding and compelling opportunities that cloud systems offer, protecting high-value media must now be a fundamental component of the design, not a hastily appended feature.
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In today’s digital landscape, the demand for high-quality video content is ever-growing, driving the need for robust platforms that can support the development of modern video applications and streaming media services. One of the key challenges for enterprises, broadcasters, and content creators lies in effectively managing and delivering video content across various channels and devices. The first hurdle consumers encounter when wanting to view content is being able to access it. We’ve all heard or seen about big events where people haven’t been able to sign in at the time the event begins or where the video streaming quality has suffered.
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As millions of users consume streaming video content across various platforms daily, video app providers and mobile network operators face immense pressure to manage data usage and bandwidth efficiently. This challenge presents an opportunity to make the industry more sustainable. Leveraging data analytics captured through real device testing, streaming video service providers can not only optimize data transmission but also reduce energy consumption and promote sustainable user behavior. Vodafone, Telefonica, and Meta have already communicated interesting results in this field.
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When none other than Tyler Perry halts an $800 million studio expansion after seeing a text-to-video AI demo, you know something major is happening in media and entertainment. AI isn’t new to the industry—Netflix has used machine learning (ML) to serve up recommendations since the early 2000s—but generative artificial intelligence (GenAI) is changing more than distribution and marketing. GenAI is primed to change how film, television, and music are imagined and produced.
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Financing Movie Making requires convergence of investors, bankers and several financial institutions coming together. The entire movie making process is complex across the lifecycle of pre-production, production, post-production, distribution etc.
As a producer of a movie, the intent is to ensure the success of the content (movie) and make financial profit. The entire moving making process results in a lot of data generation (from scripts, marketing assets, actors, posters, trailers, props, exchange of information, ideas and so many other aspects across the lifecycle).
Can AI or GenAI help with finding patterns through the latitude of data across the movie making lifecycle? Can it help with prediction of success of movies that allows producers, directors, financiers to take informed and wise decisions for moving making? NStarX Data Scientists have been looking at this problem for a while now!
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Perifery’s Intelligent Content Engine (ICE) is a software platform that leverages AI agents and advanced AI models to manage, organize, and curate media content such as images, videos, audio files, documents, and other multimedia assets. Acting as an AI Media Content Librarian, ICE examines, understands, and catalogs every file within its view. It automatically categorizes, organizes, and understands media assets based on the content itself regardless of the existence of any traditional metadata.
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In the evolving video streaming market, targeted advertising has become a critical component for monetization of OTT streaming services. As the demand for more engaging and effective advertising solutions grows, Click2, Broadpeak’s unique new interactive advertising feature, offers a unique proposition that caters to the needs of advertisers, video service providers, and viewers alike. Click2 opens a new type of ad inventory for video streaming service providers, helping them increase viewer engagement, boost monetization opportunities, and stay ahead of competitors.
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Exposure of credentials has emerged as a leading cause of data breaches across organizations. Verizon’s 2023 Data Breach Investigations Report reveals that external actors were involved in 83% of data breaches, with stolen credentials being exploited in 49% of these breaches. Furthermore, such breaches have severe consequences for businesses. According to IBM’s 2023 Cost of Data Breach Report, stolen or compromised credentials contributed to approximately 15% of data breaches, resulting in losses of $4.62 million.
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