Becoming AI Ready: Mastering Data and Maximizing Value
In the rapidly evolving media landscape, the integration of artificial intelligence (AI) is transforming how content is managed, created, and monetized. However, to fully leverage the power of AI, media companies must first gain mastery over their data. This involves harmonizing and managing vast amounts of information to deploy AI solutions in the cloud successfully.
By doing so, media companies can unlock their content’s full revenue potential while safeguarding their intellectual property (IP). This article will explore some of the conversations we had with CBS, CAA, and AWS at the recent NAB show, exploring the importance of data mastery for AI adoption, showcasing real-world use cases, and highlighting the benefits of trusted cloud solutions in the media industry.
The importance of data mastery
Data is the cornerstone of any AI initiative. Without clean, organized, and accessible data, AI algorithms cannot function optimally. For media companies, mastering data involves:
- Data harmonization: Integrating data from various sources creates a unified and consistent dataset.
- Data management: Implementing robust systems for efficiently storing, retrieving, and processing data.
- Data security: Ensuring that data is protected against unauthorized access and breaches.
By addressing these areas, media companies can create a solid foundation for AI deployment, enabling more accurate insights and better decision-making. At the recent NAB Show, Veritone explored how this translates to tangible use cases once companies have mastered their data to become AI-ready.
Real-world use cases with CBS and CAA
AI-driven media management systems can automate content categorization, tagging, and indexing, making it easier to search and retrieve. For example, Frank Gonzalez, Vice President of Business Affairs for CBS News and Stations, broke down just how laborious and time-consuming it was to access and leverage old archives of content. He talked about how they were sitting on content related to the serial killer “Son of Sam” David Berkowitz, which they didn’t even know they had. Finding this specific content would not have been as easy if they hadn’t digitized this media and used AI to structure all the unstructured data related to these files to make them searchable with a detailed metadata index.
In another example of how AI impacts the media industry, Kenneth Ye, who does strategic development for the Creative Artists Agency (CAA), discussed how AI has helped open up new opportunities to ethically monetize their talent’s name, image, and likeness (NIL). To add further validity to the use case, Carin Foreman, the global partner lead for M&E media supply chain & archive at AWS, highlighted how the gaming industry, with its vast network of creators, can leverage AI to monetize their NIL.
If you want to hear more from these industry experts, you can listen in here.