With more than 19,000 employees across California, including its corporate teams and home-based employees, as well as over 2,700 affiliated physicians in clinics and hospitals, Sharp HealthCare wanted to revitalize its internal corporate communications and education capabilities through video.
The construction of the new Sharp Prebys Innovation and Education Center (SPEIC) created a community hub for enhanced collaboration, innovation and lifelong learning, and marked a prime moment to transform the health system’s broadcast AV capabilities in partnership with Fluid Sound. The organization needed an advanced, user-friendly set up that facilitated hybrid functionality, enabled live broadcasting with high production value, and offered seamless communications.
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In the past for its coverage of the Olympic Games, France TV has built a dedicated facility at the International Broadcast Center (IBC) in the host city and delivered signals back to its headquarters in Paris for distribution to viewers via over-the-air TV. However, with the 2024 Games taking place in its own backyard, the broadcaster saw a unique opportunity — it could forgo the IBC and instead use its own facilities for the event. Furthermore, to enhance the viewer experience, France TV committed to delivering its Olympic coverage in UHD.
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CAPTURE, a specialist remote workflow division of award-winning post-production house ENVY, delivers on-location recording and media management services for rig productions, powered by Cinegy Capture and Cinegy Multiviewer.
Thanks to Cinegy, ENVY has created highly mobile, compact on-location post-production kits that are far smaller than would otherwise be possible. These ENVY CAPTURE mobile rig kits include hardware custom-designed to operate efficiently with minimal crew and are very accepting of environmental conditions. Each kit creates high-resolution and proxy versions of incoming video feeds for edit-ready media, eliminating the need for backup and ingest workflows in the field.
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As the broadcast industry navigates an era of profound transformation, the convergence of efficiency and sustainability has emerged as a critical focus. The challenge facing broadcasters today is not just how to adapt to new technologies but how to do so in a way that balances operational excellence with environmental responsibility. Clear-Com’s Gen-IC Virtual Intercom system is at the forefront of this transformation, offering a compelling solution that addresses the immediate demands for high performance and a low barrier of entry.
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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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In recent years, with the rapid development of AI and cloud technology, my company and I have faced the impact of new technologies on the sports broadcasting industry, tried to apply cloud and AI to our business, and achieved good results. I will now share our practical experience in utilizing AI and cloud tech to enhance production efficiency and operational capabilities.
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In the age of 24/7 news coverage, broadcasters face the challenge of ensuring that stories are not only understood and entertaining, but wide reaching. This is no mean feat for any media organization that plans to cover this year’s elections.
According to the World Economic Forum, an estimated 2 billion people will vote this year in 50 countries around the world, and broadcasters are tasked with providing correct information as it unfolds. To ensure accuracy, data needs to come in real-time and be relayed to audiences as fast as possible; to ensure brand consistency and retain viewers, the data needs to be communicated in a visually stunning way.
This is where graphics come in. With the purpose of illustrating real-time data, graphics simplify and entertain viewers at home. In fact, research conducted by Vizrt found that 42% of people surveyed believe on-screen graphics help them understand complex stories – for Gen Z, it’s over half (51%).
To produce the best stories, broadcasters rely heavily on what can be created in the studio and what can be captured in the field.
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We have all seen the consternation in the media about the rising challenge of AI in a wide range of industries and the potential for mass job losses as a result. Should we be concerned that the same could happen to workers in the broadcast graphics sector? The trouble with these kinds of sweeping statements is that they cover such a broad set of roles that it becomes meaningless. To make informed comments we really need to address each niche within ‘broadcast graphics’ separately and look at what AI could do, or is already doing, to see how it affects the users involved. What is true for some areas may be very different for others.
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Virtual production is already a mature technology that not only allows for high-quality results, but also reduces costs and contributes to increase the industry’s sustainability. The introduction of advanced rendering technologies such as game engines or real-time ray tracing significantly boosted the quality of the real-time renderings, allowing content creators of any size and kind to produce photo realistic content, meaning high-end results no longer restricted for high-budget filmmakers, but available to a wider range of creators.
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