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Deployment

Report: Increased cloud adoption drives AI/ML deployment rise

The September 2022 AI/ML Adoption Trends report from broadcast and media technology supply industry trade body IABM reflects the rapid uptake of these technologies to automate what were previously labor-intensive tasks in a media landscape where data volumes are growing exponentially while speed and accuracy are ever more important in the battle for viewers .

Key findings include:

  • AI/ML adoption is growing, reaching 32 percent in 2022. AI/ML adoption is enabled by the growing cloud adoption and accelerated by COVID-19.
  • Manage and Produce remain the main deployment areas for AI/ML technology in the M&E industry.
  • Most AI/ML use cases in content management systems are to automate routine tasks such as metadata tagging, image recognition, audio/video recognition, and speech-to-text.
  • Data availability is growing, and the cost of data training is declining with wider technology deployment, resulting in more predictable ROI.
  • Media businesses prefer internal deployment of AI/ML technology, which requires recruiting talent with specific skills, making talent scarcity one of the main challenges for AI/ML adoption.

“The move to the cloud – accelerated during the pandemic – alongside the explosion in data availability, has driven adoption of AI/ML in Broadcast and Media as companies increasingly look for tools to give them a competitive advantage,” advises Olga Nevinchana, Senior Research Analyst at IABM. “They are increasingly turning to AI/ML technologies to encompass more and more operations in the Manage and Produce segments of the BaM Content Chain. While the major cloud providers now offer a wide range of native AI/ML tools as part of their overall offerings, it’s interesting to note that internal deployment is still preferred by the majority of M&E companies, despite the ongoing scarcity of talent in this area. “

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