What Can AI Do for Your Media Workflow?

[vc_row][vc_column][vc_column_text][mk_dropcaps style=”simple-style”]A[/mk_dropcaps]rtificial intelligence (AI)—the term might conjure up futuristic images of mainframe computers operating space stations or human-like robots defeating chess champions. But we don’t have to wait for the future to experience the power of AI. In fact, AI technologies available today are already helping organizations, in a wide range of fields, to analyze huge volumes of data, solve complex problems, and seize new business opportunities.

Whether you’re managing a large post-production studio or an in-house corporate video department, AI can open new doors for enhancing the efficiency of your media workflow and increasing the value of your content.

Here are just a few ways you can use AI:

Eliminate time-consuming manual metadata tagging

You’re producing more and more video content. And you want to keep that content readily accessible at each stage of its lifecycle—from the moment it’s ingested to the time it’s archived.

Applying metadata tags to files is critical for enabling team members to find what they need fast. But who has the time for the manual work of tagging clips? You simply have too much content flowing in and too few people for that tedious task. And don’t even think of going back into your archive to tag existing content. That could keep someone busy for years.

AI engines can do the work for you. They can create metadata tags automatically—eliminating the need for time-consuming manual work. You can apply tags to all your clips, from those being ingested to those buried deep in your library.

Translate content for globalization

Let’s say you’ve created a series of 10 videos for your marketing team to support a new product launch in North America. Your management team loves the videos, and they’re quickly earning positive responses from customers.

Now your sales team wants to use those videos as part of an expanded product rollout in Asia and Europe—in two weeks! How will you get all 10 videos translated into multiple languages in time for the international launch?

An AI engine can automatically generate translations of voice-over material. Instead of having to transcribe videos and then manage multiple translations, you can use an AI engine to deliver translated content, ready for captioning, well ahead of your deadline.

Deliver targeted ads

Consumers today are inundated with advertising. To have any hope of capturing and keeping their attention, the ads they see must be relevant to their interests. AI engines can help content distribution platforms dynamically deliver targeted ads to viewers by analyzing data on viewer preferences, behaviors, location, and more.

AI capabilities also help creative agencies by generating demand for additional, targeted versions of ads. And of course, using AI this way can help advertisers by more effectively reaching their intended audiences.

Today, it’s primarily web- and app-based content distributors, over-the-top content providers, video-on-demand services, and similar platforms that deliver targeted video ads. But broadcasters might be able to capitalize on these types of AI engines as well in the not-too-distant future, serving up tailored ads to people as they watch TV.

[mk_fancy_title tag_name=”h2″ style=”true” color=”#393836″ size=”14″ font_weight=”inhert” margin_top=”0″ margin_bottom=”18″ font_family=”none” align=”left”]This is just the beginning[/mk_fancy_title]

These use cases are just the tip of the AI iceberg. To discover additional ways AI can help you improve the efficiency of your media workflow and capitalize on new opportunities, check out this infographic.[/vc_column_text][/vc_column][/vc_row]