storage needs. By understanding what content is accessed frequently and what is not, AI can reduce costs and improve efficiency. JON FINEGOLD: With AI in play, we will continue to see more read access to old content so that AI can help identify clips and help media companies monetise their content in new ways. That will require IT to think about storage types differently as AI systems will need to explore the content and the associated metadata to get to its full potential.
easier and faster. AI can recognise patterns and categorise content with far more accuracy than manual methods, enabling broadcasters to manage their media libraries more effectively. Once content is tagged, AI can also assist in preparing it for various platforms, such as VOD or CDN delivery, without requiring manual intervention. This not only saves time but also reduces the risk of errors. Furthermore, AI can help optimise storage by analysing usage patterns and predicting future
WHAT DOES THE FUTURE HOLD FOR THE STORAGE AND DATA MANAGEMENT SPACES?
evolve, it will not only drive the need for more sophisticated and scalable storage solutions, but also influence how data is managed and analysed. Real-time interactivity is a game changer for video companies that powers huge revenue opportunities but comes with low-latency data- management challenges. Technology needs to move fast to keep up with shifting viewer trends. Storage and data-management strategies will evolve in line with these shifts, and we’ll see more performant, intelligent and specialised storage solutions tailored to the specific technical requirements of emerging use cases. JON FINEGOLD: We will continue to see a mix of storage types for the foreseeable future with companies using a mix of on-premises and cloud storage and different tiers of storage for different classes of content. The landscape will continue to be complex and tools like the Signiant Platform will become even more important so that users can search across storage types, preview and interact with assets without having to move them and, of course, move them when needed anywhere in the world with speed, reliability and security. ROBERT SZABÓ-ROWE: The future of storage and data management in the M&E industry is undoubtedly centred around the cloud. As more and more broadcasters move their operations into the cloud, we’re going to see an increasing reliance on cloud-based workflows and processes. The ability to store vast amounts of data in the cloud and then run cloud-based processes to manipulate that data opens up significant new possibilities for broadcasters. One of the key advantages of cloud storage is the ability to integrate various processes into a single, seamless workflow. Broadcasters can store their content in the cloud, use cloud-based AI tools to manage and categorise that content, and then deliver it to audiences without ever needing to download or move files. This level of integration will become even more important as content production and distribution systems continue to evolve over time.
SAM PETERSON: The future of storage and data management in M&E will see deeper integration with cloud technologies. Media companies are expected to increasingly migrate their workloads to the cloud to leverage its scalability and accessibility. There will be a growing emphasis on database and asset-management solutions to handle the expanding volume of media content. As remote work becomes more prevalent, cloud- based solutions will play a vital role in enabling seamless collaboration. Advancements in AI and ML will significantly enhance the efficiency of storage solutions, driving the industry towards more innovative and user-centric approaches. ERIC TANG: The future of storage and data management in the industry is set to be shaped by several key trends, including advancements in AI, the emergence of interactive content formats and the development of new business models driven by these innovations. As AI continues to
feedmagazine.tv
Powered by FlippingBook