For many companies managing large video libraries, “the cloud” has become the default answer for AI processing. However, if you look closely at the long-term cost logic, the financial reality tells a different story. While Hyperscalers like Azure, AWS, and … Read More
AI
Control your Media. Control your Budget. Empower your Media Management with local AI.
When planning the future of your content workflows, have you fully calculated the long-term costs and strategic compromises of relying solely on Cloud AI? When integrating AI processing to a Media Management system (MAM), the core question to start with … Read More
AI at Scale: “Knowing” Data Privacy Isn’t Enough – It Takes Data Trust
As companies move from small pilots to using AI on a large scale – for automated tagging, content moderation, or deeper analytics – a simple knowledge of data privacy and data sovereignty laws is no longer sufficient. To truly future-proof … Read More
A perspective on AI: trading convenience and efficiency for AI data security and data privacy
AI is making our workflows more efficient, but at what cost? This article explores the critical trade-off between the convenience of AI and its impact on AI data security and privacy. Discover how businesses can navigate this delicate balance and protect sensitive information without sacrificing innovation. … Read More
MAM system architectures in comparison
When looking “under the hood“ of Media Asset Management systems, there is a heavily complex technical world. We want to briefly delve into this world and explain why the technical architecture and the processes that a MAM system is built … Read More