What can the Rally platform tell us about media operations?
Each spring we take a look at the statistics from Rally usage in the prior year. Because Rally manages millions of hours of content and hundreds of millions of jobs on that content each year, the aggregate data it provides can tell us a good deal about what media companies are doing. Rally data reflects the trends we’re seeing as an industry.
So what does Rally tell us about 2023?
With all the current buzz about artificial intelligence (AI) and machine learning (ML), you might think these tools are new to the media industry. In fact, though we have yet to see much use of generative AI in the supply chain yet, ML has been a key component of automated workflows for years. And for good reason: years of iteration, training, and learning has made many ML-based tools highly accurate. Today, most modern media supply chains utilize these tools to accelerate the flow of content and make manual operations more productive.
ML in the Supply Chain
Many media organizations have come to rely on ML-driven tools that perform preliminary content review for key compliance markers — alcohol, weapons, nudity, etc. — so that human operators need only review highlighted instances. And today, the latest releases of numerous ML-enabled tools deliver the functionality and performance essential to a wider variety of automated workflows.
Consider, for example, transcription solutions that have improved radically from a not-so-helpful 80% accuracy several years ago to high 90% accuracy now. In many cases, these automated speech-to-text tools supply more accurate results than do traditional subtitling or captioning processes. Having improved significantly from early iterations, these and other ML tools empower media organizations to achieve the efficiency improvements that come with reducing manual touches and refocusing human intervention on other areas of content preparation and delivery.
Modern ML-driven solutions are powerful enablers of efficiency, and that’s why we’re beginning to see them implemented more broadly. In this month’s Supply Chain Thinking blog, we discuss how media organizations are taking advantage of ML to integrate critical tasks and accelerate content preparation and delivery.
- Transcription
- Language identification and verification
- Automatic metadata enrichment
- Fine tuning based on requirements (ex: creating summaries of different length, extraction of actors, identification of genres, etc.)
- Identifying localization data (language analysis, celebrities, logos, brands, violence, nudity, etc.)
- QC data (scene changes, black frames, etc.)
These workflows ensure that operators can focus their time on exceptions found by the AI tools, rather than searching for problem areas. In this way, AI tools streamline processing of content and help operators focus on the work that is of highest value: human tasks.
In the blog post, we look at two very practical uses for AI tools in the supply chain, where customers are experiencing a big boost in efficiency.
Application Spotlight
DeepVA AI tools for video & audio
DeepVA is a highly scalable, secure, and easy-to-integrate AI platform that provides enterprises with the best AI infrastructure and easy-to-use tools to bring Video AI and Audio AI anywhere it’s needed.
Six DeepVA services are available through the Rally platform:
- Deep Media Analyzer enriches video, audio, images and streams with powerful metadata using state-of-the-art AI services.
- Deep Model Customizer simplifies AI customization with a powerful no-code AI platform.
- Deep Collector is the fastest way to collect your regional training data is fully automated and comes with all the tools you need.
- Deep Indexer allows you to index the face or voice of an unknown person to enrich your video, audio, images and streams with unique clustering using state-of-the-art AI.
- Deep Explorer enriches your video metadata with important background information through a powerful knowledge graph.
- Deep Generator is a toolbox of generative AI capabilities that includes a state-of-the-art SDR-to-HDR function that extends the color gamut of an SDR image to an HDR image, automatically adding value to the SDR footage in your archive.
Learn more about the full spectrum of best-in-class tools in the Rally Application Services Market.
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