5 Reasons You Need an AI-Powered DAM

We’re not being dramatic when we say that sometimes finding an approved image in a sea of disorganized assets is akin to being handed a treasure map, completing feats of strength, and answering a troll’s riddles three — all before finally unlocking access to that required asset. Even the most adventure-seeking of us simply don’t have the time to manually comb through a digital asset manager (DAM). That’s where having an AI-powered DAM comes in very handy.

There’s a list of reasons why an AI-powered DAM is a game-changer (and, yes, we are going to expound on them below), but here’s the bottom line: Tools like AI search simplify what is often a tedious, tedious task. That said, we see AI as just one of many tools you can use to organize and find your digital assets. Many organizations prefer to use a tagging and taxonomy system, which is also great; different teams have different preferences. Lytho’s goal is to give you the options to find what works best for your needs.

And if you’re still curious about the benefits of an AI-powered DAM, here’s that list we promised you:

1. No training

We love an intuitive process. One of the great perks of AI is that you can use it with natural language. If you need a photo of a scientist wearing glasses holding a beaker … you simply search for a scientist wearing glasses holding a beaker.

2. Less mental energy

Marketing, content, and creative teams are stretched thin. (Seriously. The esteemed author of this post is writing it in between meetings, social media updates, and content planning. I also just looked at my calendar and realize I have some housekeeping items due today. It’s fine.) All of our to-do lists runneth over, so any mental bandwidth we can reclaim is worth its metaphorical weight in gold. To that end, the speed and efficiency provided by AI is basically like a pot of gold. Did that metaphor work?

3. Lower barrier for stakeholders

Speaking of bandwidth, we all know stakeholders are busy and they’re not always interested in navigating a new taxonomy structure. Fair enough. AI simplifies their search process, which in turn empowers the stakeholders, which IN TURN encourages them to maintain a self-serve DAM model. High fives all around, team.

4. Improved search results

At the end of the day, all we want is to find the things we need in a timely fashion. While tags are helpful for structured storage (and we stand by the tagging system), AI reads the content of the image. You don’t have to rely on your coworkers to follow tagging best practices, plus you can be more prescriptive in your search than metadata might allow otherwise.

5. DAM storage is shifting

Ah, yes, the classic “the future is here!” argument. But … it kind of is. Technology is ever-evolving, and with that comes changes in how we store assets. (Remember the days of endlessly nested folders? LOL.) AI is changing many, many aspects of our jobs, and automating DAM searches is a great way to optimize this advancement.

Want to Join the Cool Kids Club?

You can absolutely sit with us. Whether you’re an existing Divvy or Lytho customer, or you’re brand new to the content and creative operations world, we’d love to show you how these solutions can help your organization. Click here to get started.