FAQs: How AI-assisted solutions can benefit broadcasters

Once confined to the realm of science fiction, Artificial Intelligence (AI) is slowly becoming one of the most important emerging technologies of our time.  The AI revolution is all set to play a critical role in the way mainstream media businesses run and perform in the future. According to a recent article by IBC, AI will power the future of post-production in media companies and will help improve business performance, engage consumers, extract valuable insight from data analytics, as well as open up new revenue opportunities. 

While media leaders are aware of the magnitude and inevitability of AI and it’s ROI potential, foundational barriers remain. For most organizations, there is a considerable amount of confusion around what a company needs to do to harness the potential power of this technology. Media leaders at companies like Netflix, NBC, and BBC have already begun implementing AI to transform core parts of their business, but a significant part of the broadcast industry is still struggling with implementation.  

Understandably, navigating through all the possibilities that AI has to offer can be overwhelming. In this blog, AthenasOwl experts have provided answers to nine of the most common questions from top broadcasters and their post-production teams regarding how AI can help solve some of the biggest challenges in post-production. 

The Broadcasters’ Ultimate Guide to AI-Assisted Production

Q1 – How can I better address the custom specifications and needs of OTT platforms, in addition to international distribution requirements?

Every media company wants to be associated with OTT platforms. Complying to their custom specifications and adhering to various compliance guidelines, especially at the international level, is often a challenge for broadcasters. AI-assisted solutions such as OTT-readiness accelerators help in solving multiple use cases, including audio and video conformance, subtitle conformance, textless elements detection, and more. These AI solutions can augment your current workflows by training a base model to standardize the process of making content OTT-ready.

Q2 – Our post-production workflow already has some automated parts to it; how will AI change what we’re currently doing?

Post-production processes can be a difficult task due to it being mostly manual and repetitive. Although there may be several processes you would like to automate, identifying the one you need the most is the critical first step to getting started. With its human-like intelligence, AI can automate up to 80% of manual tasks, such as syncing and grouping of clips. It can also automate the localization of video for audio, providing richer content and pinpointing possible discrepancies. Automating these manual tasks allow the creative heads in your team to spend more time on strategic and imaginative initiatives while increasing operational efficiencies.
The existing automation employed in current post-production workflows are mostly programmatic, which would most likely not be able to deal with exceptional cases, thus requiring periodic software patches. On the other hand, AI-based solutions learn over time to incorporate such exception handling with decreasing manual intervention.

Q3 – We have too many media assets to produce or repurpose content for domestic and international distribution in a short timeframe, without the personnel and budget required. How will AI help to fill the gap in labor and bandwidth?

Cognitive technologies are critical to efficient content management, distribution, and delivery. Not only does AI help in designing personalized content, but it also enables the repurposing of content to target diverse geographies with localized audio and video. Conforming content to enable global distribution, can be done with minimal human intervention – automatically and significantly reducing workflow expenditures. Automation in these areas can ramp up efficiency, freeing up employee bandwidth so the team can focus on creative processes that enhance content monetization.

Q4- Our process includes a lot of manual tasks during content creation, editing, and quality control. How can AI help us ensure our content is accurate and less redundant and repetitive?

The switch from workflows that are manual to those that are automated can be done while maintaining accuracy and conciseness of content. AI plays a vital role in enhancing human content creation, adding new capabilities to editing tools, and implementing existing data to train AI models to automate workflows. All these processes aid content creation, editing, and quality control while limiting the committed cost and effort involved.

Q5 – What is the process like for bringing on an AI-assisted solution?

An AI-assisted solution utilizes data that has already been generated and then uses it to train the deep-learning model. Once the model is trained, the solution can now be used to replace the repetitive manual processes resulting in quicker turnaround time and distribution-ready content. By deploying AI in content management, distribution, and delivery, it ensures a boost in efficiency, enables newer content monetization opportunities, and ramps up the traditional manual processes in post-production.The Broadcasters’ Ultimate Guide to AI-Assisted Production

Q6 – Can the AI-assisted system use my current processes in some way without making it redundant?

Yes, AI-enabled systems can be trained to automate current workflows using the data your post-production team currently generates. Implementing an AI system also enables quick search and retrieval of specific versions of assets, which is a massive benefit in the era of multiple platform and format needs. Processes like editing, content localization, the arrangement of audio tracks, and archiving can be transformed to achieve optimized workflows when working with large volumes of content. As the human-like intelligence of AI enhances the operational efficiency of manual and redundant processes in post-production, you can shift the efforts of your team towards more individual tasks, thereby increasing the overall throughput of the organization.

Q7 – How can I leverage AI to make my content library ready for new monetization opportunities?

AI creates a metadata-enriched content library for you that allows deep search and retrieval of content assets at your convenience. This enables latent content monetization potential for your programming by speeding up content transformation and delivery through multiple digital platforms in different formats. You would also benefit from improved content monetization through licensing to digital platforms, such as Netflix and Hulu.

Q8 – I have 10K hours of video to process, and it is going to take 12 months! Can you do it faster? How much faster?

AI can accurately forecast post-production workloads and anticipate delivery timelines before starting on the production process. The flexibility offered by a cloud-based AI solution enables both horizontal as well as vertical scaling of infrastructure to process more files with faster turnarounds, respectively, as per client requirements. 

Q9 – 5X faster is good, but is it expensive?

AI can give you better control over your workflow expenditure. You will need to pay only for the assets that are processed without committing upfront costs. With increased team productivity and efficiency using smart workflows, you can reduce the cost of operations, improve service-level agreements (SLAs), and drive better business performance. AI can also reduce the overhead costs of your quality control (QC) and other manual editing processes to a large extent.

AI is the key to keeping your organization competitive, compliant, and efficient. Download our “Broadcasters’ Ultimate Guide to AI-Assisted Production” to take the next step toward your AI transformation.

The Broadcasters’ Ultimate Guide to AI-Assisted Production

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