AI Powered

Teams investing in AI are feeling the pressure to prove value faster than ever. In this short clip, Phyllis Davidson, VP Principal Analyst, Forrester breaks down how expectations for AI ROI have shifted from traditional 3–5 year timelines to a new reality where organizations expect positive returns in just 1–3 years.If you’re navigating AI adoption, budget justification, or leadership pressure to demonstrate impact quickly, this insight helps frame the challenge and the opportunity.Learn why the timeline is shrinking, what it means for teams, and how it affects planning across content, marketing, and operations.  

 In this clip, Chewy shares how they tackled the overwhelming challenge of managing 2.5 million digital assets, a workload that once required six media managers working full time just to keep up. They explain how content growth, personalization needs, and the rise of generative AI made manual processes impossible to scale.By leaning into AI-driven metadata tagging and smarter organization, they transformed years of manual clean-up into an automated process, ensuring every asset is now accurately tagged and searchable.It’s a great example of how AI can simplify complexity and help teams keep up with massive content demands.

Quick heads-up for anyone using Natural Language Search (NLS) in the Asset Library: You’ll get the best results by toggling between NLS and regular search depending on what you’re looking for.Here’s why:Regular SearchUse this when you’re searching for something specific, like a SKU, file name, or tag.Our standard search and NLS actually use different query methods/backends, so structured metadata (like a product number) is matche

We heard from Electra at Syngenta, who shared how AI Search helped her global team reduce the time it takes to find and localize assets from weeks to minutes to saving time, money, and headaches. And Klaas from Bynder gave us a look into what’s next for AI Search: smarter results, broader coverage, and even video similarity search!From simplifying search with natural language to automatically detecting duplicates, AI Search is clearly transforming how teams manage content and achieve business goals more efficiently. You can watch the

As the Community’s Manager, I get to see so many creative ways our customers are solving common challenges. ​@Nicolas the DAM Librarian at Oatly (ya the oat milk brand my son drinks everyday and I use in every recipe that calls for milk) recently shared how he’s been tackling unused and hard-to-find content in their DAM, and it really stuck with me.He told us, “Bynder's AI-powered DAM has transformed how we manage our digital assets, leading to a 23% reduction in unused content and significantly improving our content ROI.”With a cleaner DAM and AI search in place, his team is finding assets faster, getting content to market more quickly, and seeing stronger performance overall.Has anyone else dealt with a cluttered DAM or struggled to get the right assets in front of the right people?

The U.S. just introduced new guidelines around AI safety — and it got me thinking: how do we keep our marketing not just smart, but responsible?With more brands using AI to personalize experiences and scale content, there’s increasing pressure to show that we’re doing it the right way. That means being transparent, minimizing bias, and staying accountable for what our tools are creating and recommending.At Bynder, we believe in practical and responsible AI. We’re not here for the hype — we’re focused on solving real-world problems in a customer-centric way, with innovations inspired by the people actually using our products.Think:

In a customer workshop this week, someone asked: “Would you let AI publish a campaign asset on its own?”We all laughed—then paused.Because the truth is, AI is getting seriously good. From auto-tagging and smart cropping to tone matching and content suggestions, it’s making our workflows faster, smarter, and more scalable.Personally, I love the idea of AI doing the heavy lifting—clearing the runway so we can focus on strategy and creativity. But when it comes to hitting “publish” with zero human eyes? That still feels like a stretch for most of us.That said… the gap is closing. And fast.What DAM or content tasks would

Hi everyone,Join me and ​@Cliff Crosbie on March 6 at 15:00 GMT / 16:00 CET for an exclusive preview of Bynder AI! We’ll showcase how AI-powered features like Natural Language Search, Face Recognition, and Duplicate Manager are transforming content management.Plus, hear from Will Ponissi (Sauber F1 Team) on how the brand is leveraging Bynder AI to save invaluable time and get content to market faster!Don’t miss it! Register now: https://www.bynder.com/en/webinars/exclusive-preview-bynder-ai/Murat AkyolVP of Product, Bynder 

Bynder’s AI Search Experience offers your users powerful tools to find assets in the DAM. It also simplifies administration, leading to a less-cluttered DAM (and fewer requests about “missing” and “unfindable” assets). Trialing it is a great way to understand value for your users and how to integrate it into your creative operations. But a trial is only as effective as the planning that supports it: how you communicate expectations, test key use cases, and quickly demonstrate value. We’ve outlin