Orange Logic

The NAB Show is always a signal of where the Media & Entertainment industry is going. This year, one theme came through clearly: The opportunity is getting more value from what you already have. Across studios and broadcasters, we kept hearing: • Massive video libraries across on-prem and cloud • Growing demand for better metadata and discoverability • Workflows spanning teams, regions, and tools • Pressure to move faster without increasing cost At NAB, Orange Logic focused on what it looks like to unlock that value. In the AI Pavilion, we showed how AI becomes useful when it operates in context — connected to your content, workflows, and governance. On stage, Lionsgate shared how they’re consolidating systems to scale global media operations — bringing teams, workflows, and content into a unified ecosystem with Orange Logic. We also had a great time co-hosting a night with 150+ leaders across media & entertainment. Check out our recap video and contact us today to learn more about how M&E teams are partnering with Orange Logic.

A lot of teams are investing in AI right now. But the results are uneven. The gap isn’t effort—or even the technology. It’s how content is structured, connected, and governed behind the scenes. AI can generate quickly. But it can only operate effectively when it has the right context. That’s where many organizations are hitting friction: • Content exists, but isn’t structured for reuse • Assets are stored, but disconnected from workflows • Context is lost between systems and teams So AI produces outputs—without consistency, control, or scalability. The conversation around AI is quickly shifting toward infrastructure— how content is structured, governed, and made usable across systems. This is the shift underway: From managing content → to orchestrating it as a system. Because AI readiness isn’t about having more content. It’s about having content that can move, adapt, and be understood in context. Our CEO shared more on this in TechInformed: https://hubs.li/Q04dPKlg0 #ContentOperations #DAM #AI #EnterpriseTech

A lot of 3D and digital product creation initiatives are still stuck in pilot mode. The technology isn't usually the problem. It's what's underneath: inconsistent metadata, disconnected workflows, a DAM that wasn't built to scale with the work. 𝗗𝗔𝗠 𝘅 𝗗𝗣𝗖: 𝗨𝗻𝗹𝗲𝗮𝘀𝗵𝗲𝗱 is a virtual event on May 12th bringing together fashion brands, retailers, 3D platforms, and DAM experts to talk about what it actually takes to make digital product creation scale. Hosted by The Interline, the lineup includes voices from H&M Group, Browzwear, AVP, alongside our own Customer Success Manager, Mandy Block. Mandy will be sharing what it looks like when DAM and DPC work together and what gets in the way when they don't. It's a practical conversation about connected workflows, shared standards, and what's actually possible when the foundation is right. May 12th, 1:00 PM ET. Free to attend. Register at https://lnkd.in/gT6yHpBp

AI isn’t failing because the models aren’t good enough. It’s failing because most teams are asking it to operate on top of disconnected systems—where assets, metadata, approvals, and rights all live in different places. AI can generate. But it can’t reason without context. So instead of speeding things up, it creates friction: • outputs without the right versioning • content without rights clarity • automation without accountability The real unlock isn’t “adding AI.” It’s orchestrating the system it operates in—so AI has the full picture of your content, workflows, and governance. That’s when it becomes useful. We’re going deeper on this in an upcoming session: AI That Actually Works: Orchestrating Content, Context, and Workflows at Scale May 14 | 11am PT If you’re trying to make AI operational (not just available), you can save your seat here: https://lnkd.in/gRSnnJWu

If you haven’t attended one of our Demo Days, it’s a simple way to see how teams are actually using Orange Logic in various use cases and scenarios. Tomorrow we’re focusing on something a lot of teams ask about: video. MAM Overview | April 23rd, 2026 @ 11am EST (30 min) We’ll walk through how teams are managing high-volume media like video, 3D, and audio, including review, versioning, rights management, and faster ingest workflows. If you’ve been curious about how this actually works (or where your current setup is falling short), you can join and ask questions here: https://lnkd.in/gXDxXeFW

Most teams say they’re “implementing AI” in their DAM. But AI isn’t the goal. It’s a tool. And when it gets treated like the goal, teams start focusing on the wrong things. More features, better models, more automation. That all sounds good, but it doesn’t really matter if the core problems are still there. The goals haven’t changed: • Find content faster • Govern it properly • Manage rights without risk • Keep work moving without bottlenecks AI should help with those. It shouldn’t replace them. The bigger issue is that AI without context—metadata, workflows, permissions, structure—can’t reliably do much at all. So the question usually isn’t “do we have AI in our DAM,” it’s whether the system is set up in a way where AI can actually improve how people work. If you want to go a bit deeper on this, we broke it down here: https://lnkd.in/g5Kjgwgx

Video workflows don’t break all at once. They slow down. • A file takes longer to find • A team reuses the wrong version • Rights have to be checked—again • Content gets re-exported because no one trusts what’s there Individually, small problems. At scale, they compound fast. That’s where media workflows start to fail: Not in the file itself, but in everything required to keep it usable. We’re breaking this down in a 30-minute session: MAM Overview | April 23 @ 11am EST How teams are managing high-volume, high-performance media: 3D files, video, audio, and complex formats—without slowing down. We’ll cover: • Review and approval workflows that don’t bottleneck • Versioning that keeps teams aligned • Rights management that stays attached to the asset • Ingest workflows built for volume and speed If your team is feeling the drag, this will be worth your time. Save yourself a seat: https://lnkd.in/gXDxXeFW

There’s a version of video workflows that looks clean. • Footage in. • Edits made. • Content out. That version doesn’t last. What actually happens: • The same trailer exists in five slightly different versions and no one is sure which is final • A file is approved, but the usage rights aren’t clear anymore • A regional team re-exports something because they can’t find the right version • An agency is working off outdated assets without realizing it Nothing breaks all at once. It just gets harder to keep everything aligned. That’s the real shift happening: • Not more content. • More coordination. For many studios, that coordination spans global teams, partners, and distribution across every channel. And once coordination becomes the problem, disconnected tools don’t hold for long. If you’re heading to @NAB, we’ll be in the West Hall AI Pavilion (W2300J). Our customer @Lionsgate will be there as well, sharing how they manage video from production through distribution. Can’t make the event? You can read Lionsgate’s case study on our website: https://lnkd.in/gyqi_mXi

Video workflows don’t get hard in the edit. They get hard the moment the content has to move. A timeline. A few cuts. Export. That part holds. What doesn’t: • Files too large to move casually • Formats that don’t line up • Versions multiplying in the background • Rights that should follow the asset—but don’t If this is starting to feel familiar, come talk to us at NAB Show where we’ll be digging into these workflows. Let's connect in the West Hall AI Pavilion at Booth (W2300J). And if you’re not going, you can see how media teams are handling this in practice: https://lnkd.in/gFHkr2ev

AI is starting to deliver real results, but only when it has the right context. Content, metadata, and workflows can’t stay disconnected if you expect AI to perform. When they are connected, teams move faster. Approvals don’t stall. Content is easier to find, reuse, and activate. And AI can operate with the full picture—not fragments. The organizations seeing the most impact aren’t layering AI on top. They’re orchestrating content, context, and workflows into one system. We’re breaking down what that looks like in practice in our upcoming webinar: AI That Actually Works: Orchestrating Content, Context, and Workflows at Scale 📅 Thursday, May 14 🕒 11:00 am PT Register here: https://lnkd.in/eUpYWYxK #AI #ContentOperations #DigitalAssetManagement