CaptionHub – From on-demand to live: how AI is transforming global video localization

CaptionHub – From on-demand to live: how AI is transforming global video localization

The future of video accessibility and localization

As global content consumption rises, accessibility and localization are no longer just technical considerations. They are essential for audience engagement, brand expansion, and compliance with emerging regulations. Whether it is a corporate announcement, a product launch, or a global live stream, audiences expect seamless, high-quality captions and voiceovers in their preferred language.

Traditionally, localization efforts have focused on video-on-demand. Subtitles and translated voiceovers have long been critical tools for making content accessible to international audiences. But a major shift is happening. Live accessibility, once considered too complex or expensive to implement at scale, is now becoming a priority. Companies that have successfully integrated localization into their on-demand content strategies are beginning to realize the same approach must extend to live events.

The cost of poor accessibility and localization

 Failing to prioritize accessibility carries financial, reputational, and legal risks. The European Accessibility Act, set to take effect in 2025, will require companies to make digital products and services, including live and streaming content, fully accessible. In North America, accessibility laws continue to evolve, placing increasing pressure on organizations to comply.

The consequences of non-compliance can be significant. FedEx, for example, was sued by the U.S. Equal Employment Opportunity Commission (EEOC) for violating the Americans with Disabilities Act (ADA) after failing to provide ASL interpreters and closed captioning for employee training videos. The case resulted in a $3.3 million settlement and a mandate to implement ASL interpretation and closed captions across its training materials.

According to a study by Verizon Media, 80% of consumers are more likely to watch a video to completion when captions are available. According to the Journal of the Academy of Marketing Science, captions have been found to improve brand recall, verbal memory, and behavioral intent. For broadcasters, accurate captions and translations translate to stronger audience retention, greater monetization potential, and a more inclusive viewer experience.

Despite this, live content has often been left behind. Historically, delivering real-time captions and translations was expensive, technically challenging, and difficult to scale. That is now changing.

Live localization: The next evolution in accessibility

While VOD localization has long been a standard practice, live accessibility is emerging as a critical next step for global brands. Several factors are driving this shift.

Firstly, broadcast and content production which is traditionally very hardware, racks and stacks of encoders, MAMs and an array of other technologies, is now genuinely adopting cloud across the industry. This brings the opportunity to re-canvas and re-imagine entire workflows and opportunities.

Secondly, audiences now expect the same level of accessibility in live content as they do in pre-recorded media – and in their own language. As enterprises invest more in live video for internal communication, marketing, and industry events, the need for real-time multilingual captioning and translation has never been greater.

Technology is enabling a new level of efficiency and scalability. CaptionHub Live is at the forefront of this transformation, providing perfectly synchronized, AI-powered captions for live broadcasts in 55 source languages and 138 translated target languages. It integrates directly into video players or streams, without modifying the underlying broadcast stream, ensuring delivery with minimal points of failure, ultra-high levels of resilience and flexibility for most deployment environments.

This shift is already playing out in high-profile industry events. AWS re:Invent 2024, one of the world’s most influential cloud computing conferences, selected CaptionHub Live to deliver real-time captions in 15 languages across 51 countries. Partnering with live stream service provider Corrivium, CaptionHub integrated seamlessly with Dolby and THEO Technologies to provide highly accurate, scalable accessibility solutions. This is one of several high profile events in that CaptionHub has underpinned since its launch in Q4 2023.

AWS is one of many organizations recognizing the value of live localization. As brands continue to expand their global reach, ensuring accessibility for live audiences is no longer an afterthought but a core requirement for competitive advantage and audience growth.

AI and the future of multimedia localization

 AI is fundamentally reshaping how organizations approach localization. The demand for automated captioning, translation, and AI-powered voiceover is increasing as companies look for scalable ways to engage multilingual audiences.

The most effective solutions combine automation with human-level quality control. AI can generate highly accurate translations and captions in real time, but human oversight remains essential for ensuring advanced cultural nuance, tone, and brand consistency.

Voiceover automation is another area seeing rapid innovation. Traditionally, multilingual voiceovers required time-intensive manual recording, limiting scalability. But AI-powered solutions are transforming this process. At NAB 2025, CaptionHub will launch its brand new voiceover editor, designed to streamline voiceover production with precise pronunciation controls, advanced timing adjustments, and automated multilingual speech synthesis. This will allow enterprises to localize content with greater accuracy and efficiency, ensuring brand messaging is consistent across languages.

 

As enterprises move toward a more global-first approach to content creation, they need solutions that can scale across both live and on-demand media. The shift from manual processes to AI-powered automation is not just about speed. It is about enabling deeper audience engagement, maintaining brand integrity across languages, and ensuring accessibility at every stage of content production.

Why multilingual accessibility is more important than ever

Consumer behavior is shifting rapidly toward multilingual content consumption. A 2024 report by Ampere Analysis found that more than half of internet users in English-speaking markets regularly watch non-English content. Additionally, businesses that invest in localization see increased engagement and revenue growth as audiences prefer content in their native language.

For organizations relying on video for communication, marketing, and education, multilingual accessibility is no longer optional. The ability to deliver high-quality captions and voiceovers efficiently, at scale, and in real time is becoming a defining factor in how brands engage their global audiences.

CaptionHub is setting the standard in this space. With AI-powered solutions that integrate seamlessly into both live and on-demand workflows, the platform is transforming how brands reach international audiences. The industry-wide adoption of AI-driven localization reflects a broader shift. Companies that prioritize accessibility today will not only meet regulatory requirements but also build stronger, more engaged communities around the world.

The question is no longer whether businesses should invest in localization. It is how quickly they can scale it to meet the expectations of an increasingly global and digital-first world.

 

 

Broadpeak – Sustainable strategies to optimize streaming and maximize revenue

Broadpeak – Sustainable strategies to optimize streaming and maximize revenue

Damien Sterkers, Video Solutions Marketing Director at Broadpeak

 As the competition for audience share intensifies and high-scale live event streaming grows at an unprecedented pace, broadcasters and streaming platforms face mounting pressures to balance infrastructure investment with profitability. According to AppLogic Network’s 2025 Global Internet Phenomena Report, video traffic continues to represent the largest application category by volume, with users downloading an average 5.63GB per day and the top 10 traffic days in 2024 all coinciding with a live streaming sporting event. Live streaming is pushing networks to their limits while driving intense energy consumption requirements.

At the same time, a growing awareness around sustainability is starting to forge better practices in how video is delivered at scale. Beyond infrastructure demands, rising energy costs and increasing regulatory pressures mean that streaming platforms must adopt more efficient content delivery methods to ensure competitiveness and environmental responsibility while managing the surge in live event traffic peaks.

The good news? These challenges are far from insurmountable. Streaming providers can implement more sustainable delivery methods without compromising quality or making radical infrastructure investments. In fact, by optimizing delivery mechanisms, leading streaming services have already reported substantial reductions in network load and operational expenses. It’s time to join the dots more clearly between energy savings and cost efficiency.

More effective, more open: a fresh approach to content delivery

 One of the biggest challenges for video service providers is managing the increasing demand for streaming without expanding hardware footprint, a major contributor to environmental impact. It’s here that the adoption of open content delivery networks (CDNs) comes into play. Unlike proprietary caches directly owned by individual streaming providers, open CDN enables mutualized resource sharing and harnesses existing infrastructure further down the network, typically provided by national internet service providers (ISPs). Rather than deploying and maintaining proprietary streaming servers or opting for shared caching options from major CDN providers, major platforms are beginning to leverage new open CDN strategies to harness infrastructure from local networks for improved energy efficiency, reduced hardware investment, and better video QoE for end users.

While several modern CDNaaS options can enable shared resource usage, they lack the deep network integration at a local level that is key to fully optimizing delivery, managing peak traffic, and minimizing hardware requirements. Favoring a more sophisticated, open CDN approach is a far more effective way for streaming platforms to reduce unnecessary hardware requirements and lower electricity consumption while ensuring the highest quality user experiences, particularly during large-scale live events. The result? Platforms can directly reduce their environmental impact while improving their bottom lines, allowing them to reinvest savings into content and innovation and position themselves as more responsible, efficient businesses.

High-performance streaming equals cost reduction

Software optimization plays a crucial role in sustainable video delivery, especially at a time when video service providers need to offer low-latency, 4K video streaming services, immersive content, and other bandwidth-intensive services. By deploying high-performance streaming software, streaming platforms can improve efficiency, decreasing the number of servers required to deliver content. This directly translates to less power consumption, lower greenhouse gas emissions and reduced costs.

Data from our advanced streaming software solutions has demonstrated up to a 72% improvement in throughput performance while using significantly less power than traditional servers. For streaming companies managing millions of daily active users, this efficiency translates into substantial savings on operational costs and a meaningful reduction in carbon footprint. Another key focus lies in intelligent resource allocation. Building this within software-defined architectures allows streaming platforms to dynamically adjust infrastructure needs based on demand, ensuring no excess energy is consumed. This reduces the need for large-scale hardware expansions while supporting business growth.

Multicast ABR for scalable, cost-effective live streaming

 Scale is more important than ever. One of the biggest challenges in streaming today is enabling live delivery to millions of concurrent viewers. Traditional unicast delivery methods require a separate stream for each viewer, which results in massive network congestion and increased infrastructure demands. For major platforms delivering high-profile live events, these inefficiencies drive up unsustainable costs and energy use. Multicast Adaptive Bitrate (m-ABR) technology provides the perfect solution by allowing streaming companies to deliver a single stream to multiple users, drastically reducing bandwidth requirements and power consumption. This approach is particularly advantageous for platforms that stream major sporting events or concerts, as it ensures high-quality streaming while reducing the risk of buffering and network strain.

M-ABR is proven on the biggest stages. Streaming leaders such as DAZN have already adopted m-ABR to handle peak traffic events more efficiently. It has reported traffic reductions by up to 90%, an 85% drop in error rates and a 75% reduction in rebuffering times when using M-ABR with ISPs in Europe. By reducing network load and improving the quality of experience, multicast streaming represents a sustainable, cost-effective approach to consistent live event distribution.

Stream sustainably at scale and monetize without limits

 Embracing more energy efficient network delivery enables businesses to focus on revenue-generating tasks and improving the viewer experience. Backed by high performance, cost effective streaming infrastructure, our customers know that they can more affordably harness advanced SSAI (Server-Side Ad Insertion), spot-level ad replacement or new shoppability technologies for more precise ad targeting, interactivity and higher ad value.

Sustainability and cost efficiency should no longer be separate concerns for streaming companies. A new breed of best-in-class streaming technologies make them inextricably linked. Streaming services that optimize their infrastructure today will gain a competitive revenue advantage. Integrating open CDN solutions, high-performance streaming software, and multicast ABR offers the opportunity to realize a greener and more lucrative future for the media and entertainment business.

DEMOCRATIZING VIRTUAL PRODUCTION

Brainstorm – DEMOCRATIZING VIRTUAL PRODUCTION

Miguel Churruca, marketing and communications director, Brainstorm

Virtual production has long been associated with high-budget Hollywood blockbusters and major broadcast studios, as many assumed it requires significant resources, not to mention the knowledge to make it work. However, companies like Brainstorm, with decades of experience in creating real-time graphics and virtual studio solutions, have been expanding its product line with technological advancements that are helping democratize this field, making it accessible to a wider range of creators, from small studios and independent filmmakers to educational institutions and corporate content creators.

LED volumes and chroma sets

Virtual production typically leverages two main technologies: LED volumes and chroma sets (green or blue screens). LED volumes offer seamless integration of live-action footage with dynamic 3D environments, while chroma sets provide a cost-effective method for background replacement. These technologies allow creators to blend real and virtual elements in real time, offering unprecedented creative flexibility and efficiency.

While LED volumes are powerful, they are traditionally expensive and require high-end camera tracking systems. Chroma keying, on the other hand, provides an alternative that significantly lowers the barrier to entry. Advances in software solutions, including those developed by companies like Brainstorm, now support both LED volumes and chroma key setups, enabling creators to choose the approach that best suits their needs and budget. However, both technologies have their own strong and weak points, and using one or the other will depend on the production requirements and budget.

Lowering costs, complexity, and environmental impact

One of the key challenges of virtual production has been the cost of the setups, including hardware and software, as it typically involves several high-end workstations, advanced camera tracking, etc., not to mention the LED walls, when used. In addition to financial savings, reducing hardware dependency also brings environmental benefits by cutting down on production resources, and energy consumption. This makes chroma sets even more appealing for lower budgets, as they provide a more cost-effective approach when budgets are tight.

It’s known that typical virtual production setups often require costly tracking cameras or even render-per-camera setups. An alternative approach leverages PTZ (pan-tilt-zoom) and fixed cameras, making the technology more accessible to organizations with limited budgets. Also, new software and hardware solutions are making virtual production more accessible. Tools such as Brainstorm’s InfinitySet Lite and Edison enable users to integrate virtual production techniques with PTZ and fixed cameras, offering high-quality results with affordable equipment. Designed for smaller teams and studios, InfinitySet Lite ensures that high-quality virtual production is not limited to those with access to high-end motion-tracking rigs. These solutions, by minimizing the need for physical sets and optimizing production teams, make virtual production even more flexible, while making it a more sustainable alternative to traditional methods.

Simplified virtual content creation, PTZ cameras and hyper-realism

Advancements in virtual production tools are making it easier for creators to integrate immersive visuals. Solutions like Brainstorm’s Edison enables users to create immersive virtual presentations with minimal technical expertise, and mobile companion applications such as EdisonGO, that transform smartphones into video capture and tracking devices further lower costs, allow small teams and content creators to add real-time virtual elements seamlessly, or even acquire tracking data in any situation.

Additionally, hyper-realistic virtual production is now increasingly common with tools such as Unreal Engine, that facilitates the production of photorealistic environments, delivering high-quality visual content regardless of whether we use chroma sets or LED volumes.

PTZ cameras can be remotely controlled, providing dynamic shots without additional operators. Fixed cameras deliver reliable setups for news, education, and corporate presentations. These affordable options significantly lower the investment required for professional virtual production, especially when using solutions like InfinitySet, that allows several camera renders on the same workstation.

Integrating real-time data-driven graphics

Beyond creating immersive environments, some virtual production solutions allow for real-time data-driven graphics. This is crucial for broadcast applications, where live data visualization enhances news reports, sports coverage, and corporate presentations.

By incorporating real-time 2D, 3D and AR graphics, productions become more engaging and dynamic. Whether updating election results, displaying sports statistics, or integrating real-time social media feeds, these graphics add depth and interactivity to virtual content.

Expanding virtual production across industries

With decreasing cost barriers, virtual production is no longer limited to high-budget film studios. Various industries can now leverage this technology for different applications:

  • Broadcasting: News stations create visually rich content with dynamic in-context real-time graphics talents can interact with.
  • Education: Universities and e-learning platforms produce engaging virtual lectures.
  • Corporate Communications: Companies enhance presentations and product showcases with immersive visuals using virtual production tools.
  • Independent Filmmakers: Creators bring ambitious projects to life without extensive post-production work.

The future of virtual production

As affordable and user-friendly solutions continue to emerge, virtual production is becoming more accessible than ever. Innovations in software and hardware are empowering a diverse range of users, from broadcasters to small content creators.

By embracing cost-effective solutions, integrating accessible camera technologies, and leveraging mobile tracking applications, virtual production is evolving into an inclusive landscape. The use of powerful real-time rendering engines, such as Unreal Engine, is also driving hyper-realistic visuals, ensuring that even lower-end solutions can produce studio-quality results.

Democratizing virtual production is no longer a distant goal -it’s happening now. With the right tools and technologies, content creators of all sizes can harness real-time virtual production without breaking the bank. Whether through LED volumes, chroma keying, or real-time graphics integration, technological advancements are paving the way for a new era of creative possibilities. Virtual production is no longer just for the elite; it’s for everyone.

 

Ateliere – Overcoming extreme conditions to livestream niche sports

Ateliere – Overcoming extreme conditions to livestream niche sports

Andy Hooper, SVP Live Products, Ateliere Creative Technologies

Niche sports have a remarkable opportunity to grab a global audience’s attention, but broadcasting events from remote locations presents unique challenges. Take the CX80 World Cup and European Mountain Bike Orienteering Championships (EMTBOC) as an example. This cross-country event, deep in a Polish forest, showcases the power of technology innovations in overcoming infrastructure hurdles.

Challenge accepted: A remote, untapped location

“Producing this event required stepping far outside the box and approaching everything differently,” said Per Frost from Permafrost AB, production lead. “Traditional broadcast methods weren’t going to work here.”

Unlike standard stadium setups, broadcasting the EMTBOC required thinking creatively. Traditional Outside Broadcast (OB) systems were financially and logistically unfeasible. Instead, the team turned to a distributed, cloud-based production model.

A small on-site team worked with remote collaborators across Europe, leveraging lightweight, low-bandwidth solutions to coordinate camera feeds, GPS trackers, and graphics. Ateliere Live’s advanced video transport tools helped stream footage over limited connectivity without lag or poor quality. This efficient, bandwidth-saving approach also eased content sharing with local media and sponsors.

Remote production takes center stage

The EMTBOC team adopted a distributed model with only a small team onsite to manage on-the-ground operations. The smaller physical footprint helped reduce costs and environmental impact. By using cloud-based solutions and low-bandwidth applications, the team coordinated camera feeds, graphics, and other broadcast elements without overwhelming the site’s limited connectivity. This included four cameras in the finish arena and two in the forest, a real-time GPS tracking system, video playout, and graphics overlay.

To deliver high-quality video with unpredictable connectivity, the team used Ateliere’s specialized video transport solutions designed to be bandwidth-efficient and robust. This allowed the team to stream high-quality video over limited network capacity, ensuring minimal lag and image degradation while maintaining a reliable connection.

Compared with traditional solutions, Ateliere Live’s advanced video transport tools and support for time-addressable media can reliably conduct production remotely from camera sources. The lightweight design lets the team add multiple cameras without significantly increasing data requirements, capturing the action from multiple angles for a dynamic viewing experience.

An unexpected advantage of a cloud-based approach is how much easier it was to share content with external media outlets. Unlike relying on an OB van with weak internet, the cloud enables local TV stations to access content straightforwardly. This not only streamlines distribution but also enhances value for local sponsors.

The result was an immersive broadcast – almost 12 hours streamed over four races – that transported viewers to the heart of the event. “Ateliere Live allowed us to deliver a quality production with less data and power requirements. This efficiency made all the difference given our bandwidth and power generation constraints,” Per noted.

Building connectivity in the middle of nowhere

A significant challenge was overcoming the lack of internet. Using Starlink for satellite internet provided the high-speed connectivity required for streaming, but the team also relied on supplementary 4G Intinor networks for redundancy. This hybrid setup ensured stable production despite the demanding natural environment.

With limited on-site resources, real-time updates like competition results were managed remotely. Ateliere Live enabled integration of GPS timing data into HTML-based graphics from Sweden, providing essential information to viewers including lower thirds with athletes’ names and country flags, and start and results lists, without requiring a high-bandwidth connection. This cloud-based approach allowed staff to work seamlessly from various locations while ensuring information was accessible in near real-time.

Ateliere Live’s media synchronization across the internet separates low-delay editing versions from higher-quality distribution versions. This allows production staff to work anywhere with a reasonable internet connection, enabling distributed production from virtually any location.

Transforming the “impossible” into reality

Power reliability was another concern. Relying solely on generator power created continuity risks. AWS’s cloud-based instances allowed the team to maintain program continuity by running the entire production in the cloud, reducing the risk of disruption from on-site generator failures. AWS instances running Ateliere Live also offered energy efficiency benefits, as the GPU approach minimized the overall environmental footprint. By offloading processing to the cloud on efficiently designed software, the team ensured a stable environment that could continue even if local power sources faltered.

The EMTBOC broadcast proved that even in the harshest environments, innovative technologies like Ateliere Live and cloud-based production can deliver exceptional live-viewing experiences. From Starlink-enabled internet to cutting-edge GPU technology, these advancements are paving the way for reaching global audiences—no matter how remote the setting.

Appear – The sustainable future of sports broadcasting: remote production, hybrid compute, and IP transport

Appear – The sustainable future of sports broadcasting: remote production, hybrid compute, and IP transport

Matthew Williams-Neale, Vice President, Marketing at Appear

The sports broadcasting industry is at a critical turning point. Fans demand ever-more immersive, high-quality experiences, while broadcasters and production companies face increasing pressure to reduce their environmental footprint. Traditional production models – characterized by large-scale travel, extensive on-site infrastructure, and energy-intensive workflows – are no longer sustainable.

To address these challenges, the industry is embracing a new era of production models driven by remote and distributed production workflows, hybrid compute infrastructures, and IP-based video transport. By minimizing travel, optimizing resource allocation, and leveraging cutting-edge compression and transport technologies, broadcasters are significantly reducing their carbon footprint while maintaining, and even enhancing, production quality. These innovations are shaping the future of sports broadcasting, ensuring that sustainability and operational efficiency go hand in hand.

Remote and distributed production: minimizing travel and optimizing collaboration

One of the most impactful changes in sports broadcasting is the rise of location-agnostic, remote and distributed production, which reduces the need for on-site personnel and infrastructure. Traditionally, large teams, including camera operators, directors, engineers, and commentators, would travel to event venues, bringing with them vast amounts of technical equipment. This approach, while effective, generates considerable carbon emissions through air and land travel, equipment shipping, and energy consumption at event sites.

Remote production dramatically reduces these emissions. By centralizing control rooms, broadcasters can operate multiple events from a single location, eliminating unnecessary travel and allowing production teams to collaborate across continents in real-time. This model was prominently used during Euro 2024, where ITV Sport deployed a “reverse remote” production setup with multiple remote galleries and a centralized master control room (MCR).

Beyond sustainability, remote production enables more agile and efficient workflows. Instead of dedicating an entire team to a single event, operators can dynamically switch between productions, covering multiple matches or sporting events in a single day. This not only maximizes human resources but also reduces production costs, making high-quality coverage feasible for a broader range of sports, including lower-tier leagues and niche events.

Additionally, advances in remote camera operation – including AI-assisted tracking, robotic cameras, and ultra-low latency IP connections – allow camera operators and directors to adjust angles and shots from anywhere. This further enhances creative flexibility while eliminating the need for physical presence at venues.

Hybrid compute: balancing scalability, energy efficiency, and cost

The transition to remote and cloud-based production has created a new challenge: how to balance scalability, performance, and cost-efficiency in compute infrastructure. While cloud-based production offers immense flexibility, operating 24/7 in the public cloud remains cost-prohibitive for many broadcasters. This has led to the emergence of hybrid compute models, which combine on-premise hardware with cloud-based resources to achieve an optimal balance of efficiency and sustainability.

Why hybrid compute makes sense

Firstly, hybrid compute enables scalability. Public cloud solutions such as AWS, Google Cloud and Azure, provide on-demand compute power that is ideal for temporary, high-intensity events like the Super Bowl or the FIFA World Cup. Broadcasters can scale up infrastructure during peak demand and scale down when not needed, avoiding excessive energy consumption.

Secondly, hybrid compute helps to optimize costs. For continuous production workflows, maintaining dedicated on-premise infrastructure often proves more economical. Private data centers offer predictable operating costs and greater control over resource allocation, reducing dependency on high-cost cloud services.

Hybrid compute is also energy efficient, and high-density, modular hardware solutions like Appear’s X Platform, provide ultra-low latency video processing while reducing power consumption per channel. These purpose-built solutions are significantly more energy-efficient than general-purpose cloud instances, especially for high-bandwidth live video processing.

Lastly, hybrid compute enables the integration of AI-driven production tools, such as automated highlight generation, player tracking, and video analysis. These AI-based solutions help broadcasters streamline production workflows, enhance storytelling, and further reduce operational costs.

IP-based video transport: the backbone of sustainable production

As broadcasters adopt remote and distributed workflows, IP-based video transport has become the foundation of sustainable production. Legacy transmission methods, such as satellite and dedicated fiber networks, require significant infrastructure investment and often result in underutilized bandwidth. IP transport, on the other hand, offers flexibility, scalability, and reduced operational costs by leveraging standard networking infrastructure.

Key benefits of IP-based transport

Compared to satellite or dedicated fiber networks, IP transmission is inherently more energy-efficient, offering lower energy consumption and reducing power requirements for signal distribution. It also offers adaptive bitrate streaming which allows broadcasters to optimize bandwidth usage and ensure high-quality transmission while minimizing energy waste. In terms of resilience and redundancy, technologies like SMPTE 2110, SRT (Secure Reliable Transport), and JPEG XS ensure reliable, low-latency video transport over standard IP networks. These solutions are increasingly favoured over traditional satellite links for high-value event contribution.

JPEG XS in particular, has emerged as a key enabler of sustainable remote production. This low-latency, visually lossless compression standard allows broadcasters to transmit pristine video quality over IP networks while consuming far less bandwidth than uncompressed formats. By reducing data transfer requirements, JPEG XS helps minimize the environmental impact of video contribution and distribution.

Furthermore, 5G/6G and Low Earth Orbit (LEO) satellite connectivity are playing a growing role in mobile and remote sports broadcasting. These wireless solutions enable seamless connectivity in remote or temporary event locations, further reducing the need for energy-intensive infrastructure deployment.

Sustainability without compromise: the future of live sports broadcasting

The shift toward remote and distributed production, hybrid compute, and IP transport represents a paradigm shift in sports broadcasting. However, this transition does not mean compromising on quality, reliability, or creative flexibility. In fact, these innovations are enabling broadcasters to deliver more immersive, data-rich sports experiences while reducing environmental impact.

From multi-camera coverage with enhanced data overlays to AI-powered replays and automated highlights, modern production workflows are redefining fan engagement. Meanwhile, advances in low-latency encoding, efficient compute utilization, and sustainable transport solutions ensure that broadcasters meet their sustainability commitments without sacrificing performance.

As the media industry continues its decarbonization efforts, the adoption of modular, scalable, and energy-efficient solutions will be paramount. By leveraging hybrid production models, open IP standards, and AI-assisted workflows, sports broadcasters can achieve both sustainability and operational excellence.

The future of sports broadcasting is not just about delivering the best live content, it’s about doing more, and doing it responsibly, efficiently, and sustainably. By embracing next-generation production technologies, broadcasters are leading the way towards a greener, smarter, and more agile media landscape.

Amplify – How AI and automation are revolutionizing creativity in content production

Amplify – How AI and automation are revolutionizing creativity in content production

A shift towards AI-driven creativity?

Our industry stands at a fascinating crossroads. AI and automation have evolved beyond mere efficiency tools to become genuine catalysts for creative expression. Content teams everywhere face mounting pressure—viewers want more content, they want it faster, and they want it accessible across global markets. Would AI be capable of meeting these challenges without sacrificing the human touch that makes great content resonate?

The old automation story was simple: reduce costs, improve efficiency. Today’s AI solutions aim higher. They might be able to break down creative barriers and untangle the complex workflows that have long frustrated production teams. By handling the tedious parts of content creation, AI would free up mental space for what humans do best: experiencing and telling compelling stories.

Amplify has been quietly researching the possibilities of this transition with tools designed to enhance rather than replace human creativity. Solutions like Seiri and SeiriVoice take on the burden of manual tasks, streamline media management, and accelerate production timelines—all while giving creators room to push boundaries and explore new creative territories.

Creating space for human creativity to flourish

Anyone who’s worked in content production knows the struggle: balancing quality with relentless deadlines. Traditional workflows eat up countless hours on mechanical tasks—transcribing interviews, organizing footage, cataloging assets. These aren’t just time-consuming; they drain the creative energy that should be focused on crafting narratives that connect with audiences.

This is where AI-powered automation truly shines. Seiri exemplifies this shift by automatically extracting metadata, transcribing dialogue, classifying content, segmenting into topics or recognizing faces, logos, and objects. And organizing assets into intuitive, searchable formats so that creators can instantly find the right footage or retrieve archived materials without breaking their creative flow—a game-changer for editorial decision-making.

For journalists under constant deadline pressure, AI will become indispensable. The benefits extend beyond time savings. AI ensures consistency across projects, improves accuracy in tagging and classification, and adapts to changing production needs. Features like facial recognition, speech-to-text conversion, and intelligent scene categorization make asset management more intuitive than ever before.

AI in the era of accessibility and global content

AI’s impact reaches far beyond text and metadata. Today’s tools are redefining how content crosses cultural and linguistic boundaries. For example, SeiriVoice, Amplify’s AI-powered transcription and dubbing assistant with its advanced multi-lingual support, makes global content distribution feasible without armies of translators and voice actors.

The emergence of AI voice cloning, automated lip-syncing, and real-time dubbing means content can maintain its emotional impact across languages and cultures. This capability becomes increasingly crucial as our industry embraces immersive experiences, metaverse applications, and multi-platform storytelling.

Similarly, as audiences increasingly expect personalized experiences, AI enables efficient adaptation and versioning. Whether optimizing for different platforms, localizing for regional markets, or reformatting videos for immersive environments, AI allows creators to expand their reach without proportionally increasing production time and resources.

The human-AI collaboration: a new paradigm for media professionals

When we talk about AI in creative fields, concerns about machines replacing human creativity inevitably arise. Yet the reality reveals a different story. AI isn’t replacing creative professionals—it’s partnering with them. It serves as a co-pilot that enhances decision-making, reduces friction points, and accelerates execution.

In post-production, AI-driven editing tools help fine-tune footage, analyze scene structures, and generate smart recommendations that might otherwise take hours of manual review. In newsrooms, AI-generated story drafts and automated summarization free journalists to focus on investigative work, in-depth interviews, and nuanced storytelling. In localization, AI-powered dubbing and subtitling ensure content resonates with international audiences while preserving the creator’s original vision.

Rather than taking control, AI functions as an intelligent assistant, amplifying human capabilities and enabling professionals to work more intelligently, efficiently, and with greater creative flexibility than ever before.

What comes next?

As AI and automation continue to evolve, our industry stands on the threshold of a new era—one defined by hyper-personalized, data-informed, and enhanced content experiences. Now taking it to the next level, Amplify’s soon-to-be-launched GeNews leverages natural language processing to dramatically accelerate news production and aims at reducing production time by around 80%—all while preserving the human touch that ensures quality, nuance, and editorial integrity.

The question is no longer whether AI will play a role in content creation, but how quickly organizations will embrace it to maintain their competitive edge. Through platforms like Seiri, SeiriVoice, and GeNews, Amplify is democratizing AI for media professionals, ensuring that creators of all sizes—from independent filmmakers to global newsrooms—can harness the power of intelligent automation.

All in all, by weaving AI seamlessly into production workflows, our industry can not only boost efficiency but also push the boundaries of storytelling, collaboration, and audience engagement. After all, creativity isn’t measured by hours spent on manual tasks—it’s defined by how effectively ideas come to life and AI simply provides the bridge that makes the journey from concept to creation faster, smarter, and more accessible to all.

Amagi – How AI and automation is transforming channel programming

Amagi – How AI and automation is transforming channel programming

Vijay P Sankar, Sr. Manager – Product Marketing at Amagi

Traditionally, TV programming has relied on manual scheduling, which can be time-consuming and repetitive. As the media landscape becomes increasingly fragmented with the rise of numerous streaming platforms and broadcast channels, traditional scheduling methods are proving inefficient. The challenge for broadcasters and channel programmers today is to deliver engaging content while optimizing operational efficiency. AI-powered automation has emerged as a solution, transforming linear TV scheduling into a seamless process, enabling programmers to focus on creative storytelling and audience engagement.

The challenge: juggling efficiency and creativity

Scheduling TV shows takes a lot of work. Programming teams spend hours making sure content is placed at the right times, ad breaks fit in well, and licensing agreements are followed. Adjusting schedules to real-world events and ensuring the right mix of content can feel overwhelming. All these repetitive tasks take away from time that could be spent on bigger creative decisions.

How AI and automation help with programming

Automation and AI have emerged as dependable technologies, enabling broadcasters and channel programmers to streamline operations, enhance creativity, shorten time to schedule, and reduce manual efforts. Major scheduling software vendors have incorporated various automation capabilities, including:

Streamlining operations: Automation handles repetitive and time-consuming tasks of content scheduling, allowing programming teams to focus on strategic decision-making. This includes auto-scheduling of reruns, new episodes, and special events based on predefined rules and viewer preferences. Pattern-based scheduling capability is now a mandatory requirement for channel scheduling.

Reducing errors: As content libraries expand and the demand for multi-channel programming increases, the complexity of scheduling grows exponentially. Schedulers must consider viewer preferences, licensing, content guidelines, social trends, and seasonal events, which becomes increasingly difficult with high content volume and numerous channels. This often results in time-intensive programming and the potential for manual errors. Automation can minimize human errors such as schedule conflicts, content repetition, and timing mismatches. This ensures a seamless viewer experience and maintains the integrity of the broadcast schedule.

Automated Scheduling: AI facilitates the development of machine learning models capable of analyzing various signals, including historical viewership, social trends, and content data to generate optimized schedules. These models can generate scheduling recommendations, which empower teams to make informed decisions efficiently while incorporating both creativity and data-driven insights into programming strategies.

Looking ahead: AI as a partner in programming

Some worry that automation might take the creativity out of programming. But in reality, AI frees up time for teams to focus on:

  • Choosing the right mix of Content: Programming teams can use AI to identify content gaps and find new opportunities. This will allow them to develop fresh content ideas and innovative formats, promoting creativity and maintaining a competitive edge.
  • Using real-world trends: AI can suggest programming based on trends, like scheduling a documentary on space exploration when there’s a big space-related event happening. Such creative inclusion of content and trends helps attract more viewers.

AI and automation won’t replace programmers, but they will continue to be useful tools. Advances in conversational AI indicate a promising future where programmers may even be able to use simple voice commands to adjust schedules or get content suggestions.

By working with automation instead of against it, media companies can make their operations smoother while allowing programming teams to focus on what they do best—creating and planning content that keeps audiences watching.

AlvaLinks unveils AI-powered network observability

AlvaLinks unveils AI-powered network observability

Seeing the unseen: the next era of network observability

It happens all too often. A high-profile live broadcast is in progress, millions of viewers are tuned in, and suddenly—buffering. The screen freezes. Panic sets in. Engineers scramble to identify the cause, only to be met with the all-too-familiar response from network providers: “It’s not on our end.”

For years, media and broadcast companies have battled invisible network disruptions, struggling to pinpoint whether the issue stems from their infrastructure, a third-party provider, or somewhere deep within the network maze. Traditional monitoring solutions fail to provide real-time, end-to-end visibility, leaving teams playing an endless game of blame and guesswork.

At NAB 2025, AlvaLinks is rewriting this story with AI-powered network observability that detects issues and explains them in real-time.

From blind spots to clarity: AI-driven observability

AlvaLinks was born from the frustration of industry professionals who knew there had to be a better way. A way to see beyond the surface, to understand not just when something goes wrong—but why.

AlvaLinks transforms network observability from a reactive process into a proactive force by harnessing AI and machine learning. Imagine a world where:

  • Video path changes are detected before they impact viewers.
  • Network anomalies are identified and analyzed in real time.
  • Teams can access clear, actionable insights instead of raw data logs.

With AlvaLinks’ AI-driven technology, this world is now a reality.

AlvaLinks’s typical network dashboard shows how video paths, error rates, jitter, latency, and traffic patterns are monitored in a centralized display.

Figure 1 – Typical network dashboard showing correlations

This dashboard provides full transparency into the network’s health and is the foundation for faster issue resolution.

Introducing the game-changers: AI-Powered innovations at NAB 2025

AI/ML-enhanced event analysis – meet “Ask ADI”

Every network tells a story—performance, efficiency, and, occasionally, disruption. But making sense of this story has always been a challenge.

At NAB 2025, AlvaLinks will unveil “Ask ADI” (Advanced Dataflow Insights), an AI-powered chatbot that acts as an intelligent network analyst. Using AlvaLinks’ innovative Datapath Performance Score (DPS), Ask ADI distills complex data into a narrative of cause and effect.

Picture this: An unexpected spike in latency appears on your dashboard. Rather than spending hours correlating logs, you ask, “ADI, what’s happening?” ADI pinpoints an upstream misconfiguration in seconds and suggests an optimal resolution—before viewers notice an issue.

Figure 2 – AI-powered chatbot to gain insight on events

Ask ADI allows users to explore network anomalies interactively. A single click brings up a detailed analysis, pinpointing irregularities and offering resolution paths, drastically reducing troubleshooting time.

The inflight SRT probe – diagnosing the undiagnosable

The stakes for broadcasters relying on Secure and Reliable Transport (SRT) are even higher. A misconfigured sender, a congested network path, or an unseen bottleneck can mean the difference between flawless video delivery and dropped frames.

Enter the Inflight SRT Probe, AlvaLinks’ latest breakthrough. Powered by AI, this tool provides a real-time diagnostic breakdown of every SRT session, identifying sender/receiver issues and network inefficiencies at the source.

Figure 3 below illustrates this process, highlighting sender and receiver performance metrics, packet loss details, and jitter trends.

Figure 3 – SRT session breakdown

With these insights, engineers can optimize SRT workflows confidently, ensuring consistent, high-quality video delivery.

The ROI of seeing clearly

The impact of real-time observability is more than just technical—it’s financial. Every minute spent diagnosing a network failure is lost in revenue, audience trust, and productivity. Traditional monitoring solutions often lead to finger-pointing, shifting blame between teams and providers instead of solving the problem.

AlvaLinks flips the script by offering:

  • Instant AI-driven root cause analysis
  • Historical tracking for trend identification
  • Proactive alerts to prevent failures before they occur

By drastically reducing the time it takes to pinpoint network issues, AlvaLinks enables broadcasters and network providers to focus on content, not connectivity problems.

Alpha Cogs – The democratization of technology: how computational power is transforming industries

Alpha Cogs – The democratization of technology: how computational power is transforming industries

The evolution of professional audiovisual technology was once limited to organizations with significant financial and technical resources. However, rapid advancements in computational power, cloud computing, and artificial intelligence have altered this landscape. Today, sophisticated audiovisual tools are no longer restricted to large studios but are transforming industries such as media, fashion, sports, and luxury.

Technological progress has always been defined by hardware capabilities, much like a race car’s performance is dictated by engine power. As computational resources advance, accessibility expands, enabling businesses of all sizes to leverage cutting-edge tools. Three key revolutions— cloud computing, hardware advancements, and artificial intelligence (AI) and machine learning (ML)—have collectively driven this transformation.

The cloud revolution: expanding accessibility

Historically, rendering high-resolution content, managing post-production workflows, and processing large datasets required costly on-premise infrastructure. The emergence of cloud computing has changed this paradigm, allowing businesses to scale operations without significant capital investment.

A pivotal moment occurred in 2014 with the introduction of AWS Lambda, revolutionizing serverless computing and eliminating the need for dedicated servers. This breakthrough ushered in a new era of efficiency, and today, cloud computing is indispensable to content creation and distribution.

Netflix exemplifies the power of cloud-native infrastructure, seamlessly managing global streaming operations via AWS. Inspired by such successes, other industries have adopted cloud solutions, prompting providers like AWS, Microsoft Azure, and Google Cloud to refine their offerings with AI-driven services and real-time collaboration tools.

Beyond media, industries such as fashion and sports have integrated cloud-based solutions for digital fashion showcases, AI-enhanced design, and performance analytics. Multi-cloud strategies allow businesses to optimize their technology stacks by leveraging the best features from multiple providers, enhancing flexibility while reducing costs.

The hardware revolution: pushing performance boundaries

 

Cloud computing alone was not enough to drive democratization; hardware advancements have been crucial. The rapid evolution of GPUs, high-speed storage, and low-latency networking has made real-time rendering, AI-driven workflows, and high-definition content production more accessible than ever.

NVIDIA, once focused on gaming technology, has become a leader in media production, with its GPUs powering real-time ray tracing, AI-enhanced video editing, and deep learning applications. Similarly, Apple’s M1 and M2 chips have expanded computational capabilities for professionals and independent creators.

A key advancement in hardware is AI-specific processors. AWS’s Inferentia and Trainium chips optimize AI workloads, improving efficiency and reducing costs. These innovations enable industries to leverage AI for real-time analytics, automated content generation, and enhanced customer experiences.

Looking ahead, quantum computing represents the next frontier. Unlike traditional computers that process information in binary (0s and 1s), quantum computing utilizes qubits that exist in multiple states simultaneously. This holds the potential to dramatically accelerate AI and ML computations, unlocking new capabilities in generative AI, real-time data processing, and complex modeling. Although still in early stages, major companies—including Google, IBM, and AWS—are investing heavily in quantum computing’s development.

The AI and ML revolution: redefining creativity and efficiency

 

Artificial intelligence and machine learning have significantly streamlined content production, automating tasks that once required extensive human effort. These technologies have expanded access to professional-grade tools, making high-quality content creation available to a broader audience.

In media, AI-powered solutions such as Adobe Sensei automate processes like color correction, background removal, and intelligent video editing. Similarly, platforms like Descript use AI to simplify video and audio production, making professional results achievable with minimal technical expertise.

Beyond media, AI-driven applications have transformed industries ranging from sports broadcasting—where AI facilitates instant replays and predictive analytics—to fashion, where AI- enhanced design tools expedite product development and customization. AI has shifted from an enhancement to an essential component of innovation.

The convergence of AI, cloud computing, and advanced hardware has led to advancements in virtual production. Tools such as Unreal Engine enable filmmakers to create immersive, photorealistic environments in real time, eliminating traditional green screens and reducing production costs.

AI has not only changed how technology is used but has redefined entire industries. Media, fashion, luxury, sports, and motorsport enterprises now leverage AI to optimize operations, improve customer engagement, and enhance storytelling. This shift has bridged industries that were once distinct, starting a new era of cross-sector collaboration and technological synergy.

The content creators phenomenon: a new era of content creation and consumption

 

The democratization of technology has extended beyond traditional business models, redefining how content is produced and consumed. This shift has led to the rise of the ‘Content Creators Phenomenon,’ where entrepreneurs leverage digital platforms to showcase their expertise and creativity.

Advancements in technology and the widespread availability of social media have enabled independent creators to produce and distribute high-quality content without extensive resources or technical expertise. Barriers to entry have significantly lowered, allowing individuals to reach global audiences and fully participate in the digital economy.

The interaction between industries and consumers has evolved from a one-directional model to a bidirectional exchange. Consumers now shape the content they consume, influencing trends and driving innovation. Many are also content creators themselves, contributing to a participatory ecosystem where audiences and producers collaborate in shaping industry narratives.

Case Study: The Royal Opera House – tradition meets technology

The Royal Opera House, a historic institution renowned for its classical productions, has embraced technological democratization by integrating digital solutions into its rehearsal and archiving processes. Recognizing the need to modernize its workflow while preserving its artistic legacy, the Royal Opera House developed an automated system for its Rehearsal Rooms.

This system enables performances to be recorded, archived, and retrieved efficiently via cloud- based infrastructure. By leveraging the cloud, directors, choreographers, and performers can seamlessly access rehearsal footage, making the review process more efficient and accessible.

This shift highlights how even traditional institutions benefit from digital transformation. Future advancements in AI and ML may enhance this system further, using computer vision analysis to optimize performance review and movement analysis, driving greater innovation in the performing arts.

The Royal Opera House case exemplifies how technological democratization is reshaping content creation and management, even within historically rooted organizations.

 

AgileTV – Hyper-personalized viewing and AI-optimized monetization: the future of TV services

AgileTV – Hyper-personalized viewing and AI-optimized monetization: the future of TV services

 

Örjan Åberg, Product Owner A/V-workflow, AgileTV

As television consumption continues to evolve, service providers must embrace new technologies to remain competitive. The traditional model of content delivery, where viewers passively consume programming on rigid schedules, is long gone. Today, audiences expect seamless, personalized, and on-demand experiences that cater to their preferences, interests, and habits. At the same time, monetization strategies are becoming more sophisticated, moving beyond basic subscription models to incorporate advertising, hybrid AVOD/SVOD approaches, and real-time data-driven revenue opportunities.

AgileTV, formerly known as Agile Content, is at the forefront of this transformation. With its comprehensive suite of products and services, AgileTV empowers telcos and media companies to deliver exceptional TV experiences while unlocking new monetization streams through AI-driven innovations. By integrating hyper-personalization, AI-powered recommendations, intelligent voice search, and Server-Side Ad Insertion (SSAI), AgileTV enhances viewer engagement while maximizing profitability for service providers.

 The super aggregation model: a unified content experience

 Beyond monetization, telcos must also address the growing complexity of content aggregation. Consumers no longer want to manage multiple subscriptions and platforms individually. Instead, they look for a single, unified hub where they can access all their favorite content seamlessly.

AgileTV’s super aggregation model integrates multiple services—including Netflix and Disney+, regional content providers, and FAST channels—into a cohesive user experience. This simplifies billing and account management while enhancing customer retention for telcos. By positioning themselves as the ultimate content gateway, telcos can maintain control over the user relationship while offering unparalleled convenience.

AI plays a crucial role in AgileTV’s super aggregation approach by dynamically curating content based on user preferences, viewing history, and engagement patterns. AI-driven automation personalizes the home screen with relevant content while simplifying subscription management by consolidating multiple streaming services into a single interface. This level of automation enhances engagement, reduces churn, and maximizes revenue opportunities for telcos by ensuring that viewers find value in the platform.

The rise of hyper-personalized viewing

With multiple streaming services, traditional broadcasters, and digital-first platforms competing for attention, consumers face an overwhelming abundance of content. Without intelligent content discovery mechanisms, viewers spend more time searching than watching, leading to frustration and disengagement. To combat this, hyper-personalization has become essential, ensuring that audiences receive recommendations tailored to their individual tastes, behaviors, and even moods.

AgileTV harnesses AI algorithms that go beyond conventional metadata-based recommendations. Instead of relying only on genre classifications and past viewing history, AgileTV learns continuously, analyzing patterns like binge-watching habits and content preferences to refine recommendations dynamically.

This personalization extends across devices, allowing viewers to start watching on a smart TV, continue on a mobile device, and receive recommendations across platforms. As telcos and service providers aim to enhance customer retention, delivering this kind of frictionless experience is key to maintaining loyalty in an increasingly competitive market.

Voice search and NLP: the future of content discovery

Traditional TV guides and text-based search functions are becoming obsolete as users demand quicker, more intuitive ways to find content. The rise of smart assistants, voice-enabled remotes, and AI-driven search engines has shifted the way audiences navigate entertainment platforms. AgileTV leverages Natural Language Processing (NLP) to enhance content discovery, allowing viewers to find programming using natural speech.

Instead of requiring exact titles or predefined categories, AgileTV’s NLP engine understands conversational intent. For instance, a user asking, “Show me something exciting” might receive recommendations for action films, live sports, or thriller series based on their past viewing history. This level of contextual awareness improves engagement while making platforms more accessible to a broader audience, including those who may struggle with traditional search interfaces. By integrating personalized voice interactions, AgileTV refines search results based on speech patterns and previous queries.

AI-optimized monetization: unlocking revenue potential

The transformation of TV services is not only about user experience—it is also about sustainability and profitability. While subscription-based models (SVOD) have driven much of the streaming boom, audiences are increasingly seeking cost-effective alternatives. The rise of Free Ad-Supported TV (FAST) and hybrid AVOD/SVOD models presents new opportunities for telcos and content providers to generate revenue without alienating cost-conscious viewers.

AgileTV integrates Server-Side Ad Insertion (SSAI) to optimize ad delivery, ensuring that advertisements are placed seamlessly within content without disrupting playback. Unlike traditional client-side ad insertion methods, which often result in buffering or poor user experience, SSAI enables frame-accurate ad placement that feels organic. This allows for non-intrusive ad experiences, AI-driven ad targeting, and effective FAST channel optimization.

Targeted advertisement through SSAI works well with premium channels that have large user-bases and the economical space to split the CPM between several parties, including the relatively costly SSAI. Large user-bases also attract more generic campaigns for big brands, and careful targeting is not as important.

On the other end of the spectrum, FAST and niche channels are designed for dedicated but smaller audiences. While the technology exists, ad buyers have yet to fully adapt to this model. Content providers can increase ad value by sharing more targeting data, allowing for greater accuracy and relevance in ad delivery.

Emerging technology like SGAI (Server Guided Ad Insertion) will further improve monetization. SGAI can be explained as a combination of CSAI and SSAI, taking the best from both. The reference of where to fetch ad-material is in the playlist from backend, but playback of the ads and how this is mixed with streaming content is within the player-device. Here there is room for picture-in-picture, L-bars and other combined viewing with much use of AI for content-discovery and ad-placement.

As adoption grows in 2025, SGAI is expected to replace much of CSAI and SSAI, simplifying monetization for streaming platforms.

The future of TV services: flexibility, scalability, and profitability

As AI continues to shape the television landscape, the future of TV services will be defined by flexibility, scalability, and monetization innovation. Interactive content, gamification elements such as rewards and challenges, and multi-tenant scalability for diverse market segments will further enhance engagement and profitability.

By embracing AI-driven hyper-personalization, real-time monetization strategies, and seamless multi-service integration, AgileTV is not just adapting to industry changes—it is driving them. For telcos and media companies, AI-powered content aggregation and monetization set the benchmark for next-generation television services. The future is here, and it is smarter, more intuitive, and more profitable than ever before.