You’ve seen generative AI in action – and it’s amazing.

Type a few words and get back an article, image, or video that looks too good to be true, in a matter of seconds.

But how do you use this for work?  

What if you generate a video, and it’s super cool, but the content didn’t come out quite right.  Then you re-generate, and some parts were fixed but some other parts turned wrong.  Do you just keep re-rolling the dice?  Can you throw it in a video editor and fix it?

Same question about look and feel.  I love those generative images of guys waving swords at dragons on the mountaintop.  But do they comply with your organization’s brand compliance guidelines?  What methods can you use to prompt or inpaint your way to brand compliance?

Lastly, does your organization safeguard its proprietary information?  Are there rules about allowing it beyond the firewall?  If you type something into ChatGPT, will the model digest it and share it with others?  Is it hackable while making that roundtrip to the model and back?  When using generative tools, how can you ensure your company’s information is secure?

In this session, Vyond CEO Gary Lipkowitz will discuss these topics and more.  He will also share a sneak peak of Vyond’s new AI-powered releases, which were designed with solutions to these problems in mind.