Orange Logic Blog

What are you trying to solve with AI, and is your DAM ready to help?

dan.savickas@orangelogic.com (Daniel Savickas) — Fri, 17 Apr 2026 19:16:20 GMT

AI is now a core part of digital asset management. It’s here, and it’s already shaping how teams search, organize, and move content. But AI isn’t the goal. It’s a tool. The real goal is improving how your team works. Faster discovery. Better metadata. Less manual effort. Stronger control over rights and usage. AI can help deliver those outcomes, but only when the right foundation is in place.

Without clear processes, structured metadata, and defined workflows, AI won’t fix underlying issues. It will scale them. That’s why readiness matters.

Below, we break down what AI readiness in DAM actually means, and how to assess whether your system is prepared to support the outcomes you want AI to deliver.

The 7 marketing problems CMOs are trying to solve across industries

dan.savickas@orangelogic.com (Daniel Savickas) — Fri, 13 Mar 2026 18:03:42 GMT

At a recent industry event, the Orange Logic team spoke with 17 Chief Marketing Officers and senior brand leaders from healthcare, technology, real estate, telecom, financial services, media, and consumer brands.

Orange Logic named a Leader in the 2026 Forrester Wave™ for digital asset management

contact@orangelogic.com (Orange Logic) — Thu, 19 Feb 2026 14:11:39 GMT

Orange Logic has been named a Leader in The Forrester Wave™: Digital Asset Management Systems, 2026.

How training AI on existing metadata reduced tagging work by 70%

dan.savickas@orangelogic.com (Daniel Savickas) — Fri, 23 Jan 2026 00:38:38 GMT

TL;DR

A highly regulated organization proved that AI can deliver fast, measurable value when it starts with trusted metadata.

They began with a task teams hated: tagging group photos
They trained facial recognition using existing, well-governed portrait metadata
Automation focused on new content, not historical cleanup
Clear guardrails limit risk in a regulated environment

The result: a 70% reduction in tagging time and rapid adoption driven by visible, measurable results, not hype.

7 Reasons DAM software matters more than ever in 2026

dan.savickas@orangelogic.com (Daniel Savickas) — Tue, 06 Jan 2026 04:00:00 GMT

Demand for digital content has never been higher. At the same time, the formats, channels, and production timelines are changing faster than most teams can keep up with.

5 lessons from hundreds of sales calls in 2025: what’s shaping DAM in 2026

dan.savickas@orangelogic.com (Daniel Savickas) — Wed, 17 Dec 2025 16:50:45 GMT

TL;DR

Most teams already have a DAM, but they still struggle with five persistent issues:

Search that doesn't work
Fragmented systems
Video bottlenecks
Rising rights needs
Integrations that break as they scale

These patterns point to a larger shift: organizations need content orchestration, not just storage.

Every sales call tells a story. When you listen across a full year of discovery calls, those stories start to line up. Patterns emerge. Pain points repeat across industries and team structures. After hundreds of conversations, the themes become impossible to ignore.

We reviewed a full year of notes from discussions with marketing leaders, creative operations teams, IT directors, archivists, product owners, communications departments, and members of the C-suite. More than 90 percent of these teams already had a DAM, and many were managing more than one.

We quickly learned, most organizations are not shopping for their first DAM. They are trying to replace the one they bought.

Across all of these calls, five challenges surfaced again and again. These issues aren’t new, yet they persist even in organizations that already invested in DAM. In many cases the root cause is because the system was chosen quickly to solve the problems for one team, not taking into account how the tool could be leveraged for other teams.

Below is a closer look at the issues teams face today, the root causes behind them, and what these patterns tell us about the state of modern content operations.

Orange Logic named Leader in the 2025 Gartner Magic Quadrant for DAM

dan.savickas@orangelogic.com (Daniel Savickas) — Tue, 11 Nov 2025 14:00:00 GMT

We’re proud to share that Orange Logic has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Digital Asset Management (DAM).

The report evaluates providers based on their Completeness of Vision and Ability to Execute. We believe Orange Logic has been recognized as a Leader for delivering scalable, AI-driven enterprise content orchestration through its DAM platform, highlighting its customizable brand portals, advanced AI agent capabilities, and hybrid storage options.

In our opinion, this recognition reflects what our customers already know: Orange Logic helps global enterprises manage complex content operations with speed, control, and confidence.

10 tips to roll out an enterprise DAM, from the team that runs one

dan.savickas@orangelogic.com (Daniel Savickas) — Wed, 01 Oct 2025 18:24:27 GMT

Rolling out a Digital Asset Management (DAM) platform across an enterprise is a big lift. It’s not just about standing up the system; it’s about getting real teams to use it, building trust, and making it useful across departments. Strategy matters. So does governance, change management, and long-term thinking.

Manage, distribute, and optimize video with your DAM and Vimeo

dan.savickas@orangelogic.com (Daniel Savickas) — Thu, 28 Aug 2025 23:00:48 GMT

Video is one of the most powerful tools teams have, but managing it isn’t always easy. From rough cuts to final delivery, most teams juggle disconnected systems that slow things down.

That’s why Orange Logic's DAM platform and Vimeo now work together to give creative, marketing, and media teams a smarter, more connected way to manage video, from idea to audience.

What is agentic AI and how it changes DAM

dan.savickas@orangelogic.com (Daniel Savickas) — Wed, 06 Aug 2025 20:38:01 GMT

AI has supported content teams for years. It tags images, suggests keywords, and transcribes video into searchable text. Helpful, but reactive. You prompt it. It responds. That’s where most AI systems stop. Agentic AI moves beyond that.