Cloudinary

Manual content review is often soul crushing and impossible to scale as a platform grows. The challenge is balancing the speed of user uploads with the absolute necessity of keeping the environment safe. Implementing a hybrid moderation suite allows for the automatic rejection of content based on specific AI confidence scores. This offloads the heavy lifting to automation while keeping human oversight for high sensitivity cases. Explore the technical methods for automated image and video moderation. https://okt.to/Gj0NhO

When your tech stack is custom-built, “one-size-fits-all” tools don’t work. LUISAVIAROMA runs a fully customized e-commerce, ERP, and content ecosystem and chose Cloudinary for one reason: API-first flexibility. Cloudinary now: Integrates seamlessly into LVR’s proprietary systems Handles hundreds of thousands of high-quality assets per year Replaces complex, manual image workflows with automation As LVR’s Director of Technology put it: “With Cloudinary we just have a toolbox full of very useful features—and we use them the way it suits us.” Read the entire case study here: https://okt.to/1xcnoe

Less rework. Better margins. Services you can actually repeat and scale. Matthew Powell at TBSCG and Una Ostojic at Merkle DACH are two of our certified Premier Delivery Partners, and they know firsthand what it means to have a single source of truth for images and video that slots cleanly into any tech stack.

AMC Theatres needs millions of movie images to load perfectly on mobile during the biggest box office weekends of the year. adidas has to deliver personalized visual experiences across 13,000+ products to over 1 billion yearly visitors. Fiverr processes 10 million asset transformations every single day. Three very different businesses. The same underlying problem: visual content at a scale that manual processes simply can't handle. See how Cloudinary helped all three solve it > https://okt.to/Tf5SdF

Cloudinary Moderation launched last week to solve a real problem for brands managing content at scale! 👀 The new AI solution is trained on a brand's own visual guidelines to automatically review partner, vendor, and user-generated images before they go live 🚀 This is NOT generic content filters, but enforcement built around each brand's specific standards 💡 Only 25% of brands can consistently enforce their visual guidelines when working with third-party content. This is built for that gap 🎯 Worth a look if you or your team manage visual content at any kind of volume: https://okt.to/msi8VQ #Cloudinary #DAM #digitalassetmanagement #Moderation

AI has moved beyond experimentation. The real work of scaling it securely and responsibly is just beginning. Globality's CTO Keith McFarlane joined TechDogs' Discover Dialogues CTO Roundtable alongside technology leaders from Cloudinary, AND Digital, and Extreme Networks for a candid conversation on what it actually takes to scale AI securely across the enterprise. Here are Keith's key takeaways: ▶ Security is layered, not a checkbox. We sandbox every action a tool can take on behalf of an agent. Regardless of what it's instructed to do, it cannot query the wrong customer's data. That is prevented at the tools level. ▶ Governance has to be genuine. We've built a thorough validation regime, both automated and manual, to ensure agents are doing what they're supposed to do in all cases. We're pursuing ISO 42001 because we understand the risks of not taking it seriously. ▶ The role of the engineer is shifting. We are going from being individual coders to instructors of code, coordinators of code, and evaluators of code. Secure AI at scale is possible. But it starts with the right foundations. 🔗 Watch the full conversation here. https://lnkd.in/gd-iA7nG #EnterpriseAI #SecureAI #DigitalTransformation #AgenticSourcing #Globality

2026 might finally be the turning point for JPEG XL. After years of ups and downs, browser support is starting to fall into place. Safari led early, and now Chrome and Firefox are moving closer. Our Senior Image Researcher, Jon Sneyers, walks through the full journey. From early promise, to setbacks, to where things stand today. If you care about image performance, this is worth your time. Read more: https://okt.to/b7tLsC

Product adoption speed is often determined by a single factor that many founders overlook during early growth. Success depends on how quickly you can establish a foundation of reliability with your target audience. Cloudinary's VP of Developer Experience and Self Service, Sanjay Sarathy, joins the conversation on Thrivecast to discuss why creating trust for your specific ICP is the ultimate driver for product recommendations. Whether your user is in development or marketing, trust is the catalyst for scaling. ThriveStack

AI can move fast, but that only helps if the system around it is built the right way. When AI is scaled inside enterprise systems, the basics matter even more, from authentication and authorization to sandboxing and validation. That is what helps keep systems secure and on task. Watch the conversation with our CTO Tal Lev-Ami on TechDogs: https://okt.to/9ZkErn

AI automation can handle 95 percent of media workflows at scale, but the remaining edge cases often prevent teams from fully committing to generative AI in production. A single bad crop or a leftover shadow can be enough to block an entire automated deployment. Cloudinary Refiners allow you to step in and fix these specific glitches without changing the delivery URL or scrapping the whole automation pipeline. It provides a way to regenerate specific fills or adjust background removals while leaving the rest of the production assets intact. See how to maintain human precision within an automated media pipeline.