NAB Show Preview: Media companies shift from AI experimentation to implementation

As the published business prepares to collect at NAB Present, synthetic intelligence continues to be on the minds of many distributors and finish customers, albeit for barely completely different causes. 

Based on Haivision’s sixth annual “Broadcast Transformation Report,” which surveyed almost 900 broadcast and media professionals between November and December 2024, AI implementation in media workflows jumped from simply 9% in 2024 to 25% in 2025. Much more telling, 64% of respondents imagine AI may have probably the most important business influence over the subsequent 5 years, far outpacing different technological improvements.

This dramatic improve displays a basic change in how the business views AI — not as an idea however as a vital part of contemporary provide chain. Whereas the report signifies that broadcasters stay cautious with full-scale expertise transformations, preferring hybrid approaches that stability innovation with reliability, AI has moved past the experimental part to ship tangible functions all through the media ecosystem.

As business leaders head to this 12 months’s NAB Present, they’re specializing in sensible AI implementations that remedy real-world challenges whereas enhancing effectivity and enhancing viewer experiences. 

From buzzword to enterprise software

What was as soon as a futuristic idea has rapidly change into a major software for automation and effectivity, with the business now searching for measurable returns on AI investments.

“AI has lengthy been a buzzword and whereas it continues to be one now, I anticipate we’ll see a shift towards extra concrete and full AI functions,” mentioned Julien Signes, govt vice chairman of video community at Synamedia. “I anticipate video service suppliers will search for extra tangible advantages and new methods to leverage AI to raised enhance efficiencies throughout the video distribution and supply ecosystem.”

The dialog has advanced from theoretical prospects to sensible implementations that ship clear worth.

“The business is previous the preliminary AI hype and is now taking a look at real-world functions,” mentioned Simon Hawkings, director of gross sales technique and enterprise acceleration at Ross Video. “Most broadcasters are discovering success utilizing it for backend efficiencies — issues like media asset administration, post-production automation, meta-tagging knowledge, and advert focusing on. AI can also be enjoying a job in viewers analytics, serving to firms higher perceive viewing behaviors and optimize content material distribution.”

This deal with sensible functions is reshaping improvement priorities throughout the business.

“For the reason that launch of ChatGPT, the M&E business has been speaking loudly in regards to the potential of AI, however few are deploying applied sciences that put ‘their cash the place their mouth is,’ shall we embrace, and no, it isn’t one GPT suits all,” mentioned Gilles Domartini, founder and CEO of Cleeng.

“At NAB, we anticipate extra discussions round sensible AI use circumstances that may be carried out now, equivalent to AI for perception era,” added Domartini.

Streamlining workflows and automating manufacturing

AI is proving notably useful in workflow optimization, delivering time and price financial savings whereas liberating inventive professionals to deal with higher-value duties.

“It’s no shock that AI is predicted to dominate conversations at NAB once more this 12 months, transferring past a futuristic idea to a vital software for media organizations,” mentioned Scott Goldman, U.S. basic supervisor at Qibb. “Final 12 months’s scorching subject has change into this 12 months’s precedence, as delaying AI adoption is not an possibility in an more and more aggressive panorama.”

The expertise enhances each front-end and back-end operations, with automation bringing effectivity to beforehand handbook duties.

“Within the space of robotic digital camera management, AI helps us develop merchandise that may observe onscreen expertise extra precisely whereas additionally enabling our digital camera trolley programs and OmniGlide studio digital camera rover to begin and cease extra exactly,” mentioned Michael Cuomo, vice chairman at Telemetrics. “That is necessary as AI-assisted automated digital camera operation frees up digital camera operators to deal with different duties.”

“Within the media and leisure realm, we’re seeing a frequently rising demand for automated digital camera management and framing in broadcast and manufacturing environments, and AI presents options for enabling these capabilities,” mentioned Kento Sayama, deputy vice chairman of imaging options at Sony Electronics. “New functions of AI and AI-powered automation applied sciences are streamlining stay manufacturing workflows, with AI functions together with video seize, content material and workflow administration, even background content material creation for digital manufacturing.”

These benefits prolong throughout the content material lifecycle, from manufacturing to distribution.

“We’re intently watching how AI is reshaping each stage of content material manufacturing and supply,” mentioned Chris Wilson, head of selling at Mediakind. “From AI-powered video compression to automated content material tagging and hyper-personalized suggestions, this shift is occurring quickly.”

“As community calls for improve attributable to greater content material consumption, streaming providers, 5G growth and cloud-based operations will doubtless begin incorporating AI to take care of effectivity, reliability and scalability,” mentioned Adi Rozenberg, RIST director and CEO/CTO co-founder at Alvalinks.

The expertise presents predictive capabilities that enhance reliability.

“One space the place we’re including AI right here at Alvalinks is for proactive observability to achieve higher visibility on the supply community,” Rozenberg mentioned. “Combining present options with AI is offering sooner entry to information and insights on the character of the issue and how you can overcome it.”

Remodeling content material discovery and administration

Media asset administration is a beneficiary of AI implementation, with new capabilities in how organizations work together with their content material libraries.

“We imagine AI-driven video discovery will probably be on the forefront of the conversations on media manufacturing effectivity and workflow on the 2025 NAB Present,” mentioned Frederic Petipont, CTO and co-founder of Moments Lab. “Lots of Moments Lab’s purchasers typically share their frustration and struggles with advanced DAM and MAM programs, which restrict their potential to rapidly find and use content material. Through the use of AI video indexing, media professionals can leverage pure language queries to go looking huge video libraries seamlessly.”

This functionality unlocks beforehand untapped worth in media archives.

“Whereas the media and leisure business has established strategies for manufacturing and publish manufacturing, AI-powered options and instruments that may improve worker productiveness and unlock new alternatives are laborious to disregard,” mentioned Ian McPherson, international M&E enterprise improvement – media provide chain and generative AI at Amazon Net Companies.

“For instance, vector embedding and picture composition understanding can drastically enhance asset searchability. With the precise instruments, editors and producers might question huge archives by semantic search and obtain exact outcomes,” added McPherson.

Enhancing viewers engagement and retention

AI can also be serving to media firms construct stronger relationships with their audiences by personalization, improved consumer experiences and enhanced accessibility.

“Not so way back, it was tough for smaller streaming providers to fight churn and guarantee steady service high quality as efficiently as the large gamers with their huge in-house groups of knowledge scientists and engineers,” mentioned Mrugesh Desai, vice chairman North America at Accedo. “The democratization of AI has in a way levelled out the enjoying discipline. With the assistance of recent instruments and the precise analytics technique, any streaming service can now simply leverage knowledge to spice up consumer engagement and retention and stabilize service high quality.”

These capabilities permit media firms to take a extra proactive strategy to viewers improvement and monetization.

“AI-driven insights are enabling OTT providers to establish customers at excessive threat of churn in order that motion may be taken – equivalent to providing free entry to premium content material or a reduced subscription price to encourage the consumer to remain,” Desai added.

The expertise can also be making content material extra accessible to numerous international audiences.

“AI and ML are revolutionizing personalization and accessibility, enhancing localization, multilingual help, automated transcription, and audio description,” mentioned Anupama Anantharaman, vice chairman of product administration at Interra Programs. “The expertise is quickly advancing and enabling media firms to ship higher-quality content material throughout a number of platforms – essential for participating and retaining audiences in a extremely aggressive panorama.”

These capabilities are straight impacting enterprise outcomes by improved monetization.

“AI is enjoying a significant function on this transformation, serving to companies automate personalization, predict churn, and optimize buyer engagement by hyper-personalized advertising and marketing methods,” mentioned Paolo Cuttorelli, senior vice chairman of world gross sales at Evergent. “We’re additionally seeing a robust push round automation to simplify back-end processes like funds, buyer help, and multi-partner billing amid speedy aggregation and repair bundling.”

Balancing innovation with practicality

As AI adoption accelerates, business leaders emphasize implementation approaches that maximize return on funding.

“One of many huge developments we’re seeing in AI is frugal AI – the event of AI programs that prioritize effectivity, cost-effectiveness, and useful resource optimization,” mentioned Petipont. “Conventional video indexing utilizing facial recognition and brand detection has traditionally been prohibitively costly, particularly at scale, typically requiring a number of expensive processes for a single activity. Frugal AI adjustments this fully by decreasing inference prices, slicing power consumption, and enhancing sustainability.”

Integrating AI with different applied sciences creates complete options for media firms.

“We’re nicely past the purpose of generically saying ‘you need to be utilizing AI in your workflow’ and have moved to a stage the place AI may be transformative in a video platform, however its performance and efficacy should even be simply measured and acknowledged by rights holders, suppliers, and leagues,” mentioned Matt Smith, chief evangelist at Akta.

Because the business gathers in Las Vegas this April, the main target will probably be on AI options that ship measurable advantages at the moment whereas positioning media firms for future improvements.

“We predict 2025 would be the 12 months that, as a substitute of remoted use circumstances, AI turns into totally built-in into end-to-end media workflows,” mentioned Venugopal Iyengar, COO, digital at Planetcast. “AI will automate duties starting from metadata extraction and content material segmentation to spotlight creation and contextual promoting – unlocking new efficiencies and monetization alternatives.”

Business leaders additionally acknowledge that accountable implementation stays essential as AI turns into extra deeply embedded in media operations.

“As AI turns into extra deeply embedded in media workflows, the problem is not only harnessing its energy however doing so in a manner that builds belief, transparency, and tangible effectivity positive factors,” mentioned Wilson.