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ChatGPT Can Now Automate Operational Tasks: The DAM Example
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ChatGPT Can Now Automate Operational Tasks: The DAM Example

Last Updated on June 28, 2023 by Editorial Team

Author(s): Emil Novakov

Originally published on Towards AI.

ChatGPT Can Now Automate Operational Tasks: The DAM Example

Real-life scenarios where ChatGPT can improve your Digital Asset Management platform

With the chatter about OpenAI and ChatGPT taking up lots of space and content over the Internet and even here on Medium, it is probably a topic that is familiar to many of you. These advanced technologies can handle a wide range of tasks, such as customer support, data analysis, scheduling, and even content generation!

By leveraging AI bots and ChatGPT, businesses can streamline operations, increase productivity, and enhance customer experiences. But how do these AI-powered language models actually work in business situations?

When paired with a powerful DAM platform, it can help automate time-consuming, operational tasks in the case of the management and acceleration of digital assets.

Photo by freepik on Freepik

Why is there a need for Digital Asset Management (DAM)?

The exponential growth of digital content on numerous platforms has created a pressing need for advanced technologies and tools to manage and organize vast asset libraries. Digital Asset Management then arose to answer this need for improved content operations. Yet, today’s rapidly evolving and fast-moving digital landscape also means efficiency is needed. That’s how the adoption of AI in the DAM world, with ChatGPT emerging as a powerful solution, came into the picture.

The support for ChatGPT plugins has allowed for such integrations to happen alongside connectors like Zapier and Pabbly. In the following paragraphs, I’ll explain the advantages of using DAM with AI models like ChatGPT.

Empowering Non-Technical Teams

Traditionally, Digital Asset Management has long been perceived as a domain for technical experts. It doesn’t have that much of a seamless and intuitive interface, and you’ll have to communicate through the use of APIs and tech-speak!

Of course, now we have DAMs with excellent UI, and are designed for non-technical users in mind. But integrating ChatGPT into DAM platforms then elevates this to the next level by bridging the gap and empowering non-technical teams like marketers, salespeople, and design teams.

Using natural language queries, they can interact with the DAM system without extensive knowledge about “how to use it” or familiarize themselves with the user interface and features. For example, when a video is uploaded onto the DAM, it can prompt visual ChatGPT to create a transcription.

Streamlining Workflows with Intelligent Search

When integrated with a DAM, the AI/ML model of ChatGPT can understand and interpret complex search queries, and then harness the powerful search capabilities of Digital Asset Management. Instead of browsing through folders, you can tell ChatGPT to “find PNG files tagged with animals in the past 2 months”.

This intuitive approach simplifies asset discovery and enables quick access to relevant files based on various criteria, such as file types, tags, metadata, timeframe, and more. Such intelligent search functionality provided by ChatGPT enhances the way users search, saves time and effort, streamlines workflows, and enables non-technical users to locate assets swiftly and accurately.

Enhancing Collaboration Across Teams

Collaboration lies at the heart of effective Digital Asset Management. And when you have teams worldwide that speak different languages, ChatGPT can save you lots of communication breakdowns.

Want to localize a newly-created video into different languages? In the past, you’ll have to go through lengthy processes to hire an agency, check the transcription, review it, and then add it to your video. Now, with ChatGPT integration (though not entirely flawless), you can translate the transcribed audio automatically.

Assisting with Personalized Recommendations and Content Discovery

ChatGPT’s ability to understand the context and user preferences opens up a new world of possibilities for personalized recommendations within DAM platforms. Given that it can analyze user interactions, search histories, and even asset usage patterns, ChatGPT and other AI models can then provide tailored recommendations to users, suggesting relevant assets based on their specific needs and interests.

What if my Digital Asset Management provider doesn’t integrate with ChatGPT?

Well, it actually isn’t that much of an issue because most DAM providers already have extensive AI automation capabilities. Just think about how users are already able to get things done much faster, like searching for assets, and even help you with time-consuming tasks like background removal and video transcoding! Don’t forget about automated metadata tagging that existed a long time before ChatGPT.

Sure, ChatGPT makes working with the DAM as though you are interacting with your “real person”, but even without it, a powerful DAM with AI can also be your best work friend!

ChatGPT and DAM: The Future?

Looking ahead, the prospects of ChatGPT and AI in DAM are promising, and the continuous advancement of AI technologies, including more sophisticated language models and natural language understanding, will further improve the capabilities of DAMs. But not all companies and DAM providers need to get on the bandwagon of ChatGPT. Instead, forward-looking companies should prioritize investing in a DAM addressing their needs.

What are your thoughts?

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