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Vision AI and the Future of Video and Design [Video]

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Generative AI. It’s been the hot topic for the past few weeks. From Jasper and Stability AI’s funding to DALL-E 2 opening access for all, and many more developments, visual content creation with the assistance of AI has taken center stage.

Because it’s visible and tangible and fun, many marketers and business leaders are starting with visual aspects of their marketing and sales to better grasp the concept of artificial intelligence and its role in their marketing and business strategies.

At MAICON 2022, our Chief Content Officer Mike Kaput sat down with Apoorva Dornadula (Viralspace), Stefan Britton (Shutterstock), and Kirk Iwanowksi (AnyClip) for a discussion on advancements and examples of vision AI at work. 

AI can recognize and generate faces, analyze and produce videos, and edit and create images. The implications—positive and negative—are profound for marketers, brands and creative professionals.

As vision AI technology races forward in its capabilities, the only real limitations seem to be understanding what’s possible and having the imagination to bring smarter solutions to life.

But there is a dark side too, filled with bias and bad actors, and marketers must be ready for this new reality.

They discussed:

  • The creative possibilities that AI unlocks for video and design.
  • Cautionary tales of the technology being used for deepfakes and disinformation that can harm your brand, and society.
  • Examples of technologies and processes to help you and your team build more intelligent strategies. 

Watch the MAICON 2022 Vision AI Panel


Watch this video plus all MAICON main stage keynotes, sessions, and panels with the MAICON 2022 On-Demand Bundle

9 Takeaways from the MAICON 2022 Vision AI Panel

1. Computer vision is more than video and pretty images

Computer vision can help us extract data from ads to create a taxonomy of what is in the ads (copy, image, audio, video). This provides valuable insights into what’s working for us and our customers.

2. Technology is available to take out the guesswork

For example, Smartly/Viralspace is able to gather insights on colors that evoke certain emotions, and provide that data to their clients. It helps in strategy meetings, creative ideation, and more. 

3. AWS identified 400+ individual use cases for vision AI

The challenge isn’t finding a use case, it’s narrowing down the specific use case for your company and team. Take our AI Score for Marketers to help you.

4. Technology can help you with traditional and latent content

As marketers, we’re taught to repurpose, repurpose, repurpose! But what happens when your library of content and assets are outdated, not tagged, or done so by a teammate no longer at the company? AI can convert these files for you through optical character recognition, sentiment analysis, speech to text, facial recognition, and more. Visual content can (and should) become data, and we should use our content we invested so much time in creating.

5. Image generation and generative AI is hot

We’ve seen it change dramatically just since this presentation at MAICON 2022. Whether it’s generating images based on descriptions, or even generating video based on images, this technology is advancing, and quickly. Now is the time to get access, get on waiting lists, and test out the technology. In the past two years, the quality of images has increased exponentially. There has been a massive movement in the encoders that develop the images. 

6. The human spark is needed now more than ever

As Stefan Britton says, “AI is stupid. It knows nothing. It has no imagination. And that’s where the human spark has to come in because generative AI can only create images based on images it’s already seen. So that inherently has some problems in it.” 

Humans will still need to be there for the novel content, and for the creation and ideation of concepts. 

7. AI has a positive impact not just on marketing, but on other parts of the business

Dornadula explained how her team helped a client use vision AI for SKU matching. The marketing team could tie this back to ads and images in ads to tie sales to products featured. It could also help the purchasing and operations team with inventory issues. 

8. Vision AI can process data at speeds impossible for humans

Kirk Iwanowski shared how his team ingested a client’s entire library so the client can query across their entire content library. Now this team can use the files, use the data and analytics, inform new content and creative decisions, investments, and more.

9. Marketers will need to develop new skills

AI can slow down some jobs, but it can also create jobs. There are certain skills that are going to be developed now that don’t currently exist in the creative workforce. Being able to understand and manage software tools is key. 

What would you add? 

Do you want to be a next-gen marketer? Use the resources at the Marketing AI Institute, read our blog posts, take our Intro to AI for Marketers class, attend webinars, join our community, download reports, guides, and templates (all free), read Marketing Artificial Intelligence, look into AI Academy for Marketers and Piloting AI Bundle, and our annual MAICON—Marketing AI Conference.

Get access to all MAICON main stage keynotes, sessions, and panels with the MAICON 2022 On-Demand Bundle.


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