Visual 1st Perspectives


October 19, 2022

The disruptive power of Generative AI


Our takeaways from Javier Ideami's

Visual 1st Fireside Chat session 


First, before we dive into our takeaways, here's a description of Javier's background:

Javier Ideami

CEO Ideami

Co-Founder The Geniverse


Javier Ideami is an award-winning multidisciplinary artist, creative director, engineer and entrepreneur, working at the intersection of technology and art.


His creations, that encompass a wide range of areas, from digital art and fine art photography, to augmented reality, interactive technology, artificial intelligence, music, filmmaking and beyond, have won awards and been shown at institutions, festivals and galleries worldwide, from the Venice Biennale in Italy, to the Ranjina Palace in Croatia, Stanford University in USA, the United Nations FAO HQ, the financial center of London, the International Cultural Diplomacy Conference in Berlin and many others venues around the world.


Among his most recent projects, he is the co-Founder of the generative AI platform Geniverse.



Our takeaways from our fireside chat session with Javier:


1. While our photo & video industry has seen its share of disruptive technology innovations in the past – ranging from digital cameras replacing film cameras to smartphones replacing digital cameras – we have never yet witnessed an industry-disrupting innovation coming to market at the frenetic pace that generative AI implementations have recently been coming to market.


2. Generative AI, most simply defined as a type of AI technology that creates new data that is different from the data used to train the system, can potentially address a broad variety of use cases that go far beyond what so far has caught the general public’s attention: realistic photo art. Potential use cases include product design, visual brainstorming, stock imagery, cartoons, logo development, fantasy game characters, and scientific images.

Examples from Javier's Visual 1st fireside chat presentation 

Visual 1st 2022

Award Winners

Best of Show:

Kandao

“Kandao goes beyond incremental improvement of existing technology by creating a truly innovative solution for creating and consuming 3D images. Their QooCam EGO consists of a stereoscopic camera, a 3D viewer that plugs into the camera, and an app for quick edits and adding 3D graphics.”


Andy Kelm,

Managing Director at Palmarés Advisors



Best Business Potential:

Zenfolio

“Zenfolio’s PhotoRefine.ai solution offers an exciting new way for Zenfolio’s professional photographer customers to save a substantial amount of time sorting, grouping and selecting photos for their clients. Very simply, PhotoRefine allows photographers to complete more jobs in a given time period, thereby generating more income. I’m really impressed at how Zenfolio is creatively using AI to solve a specific customer pain point and generate a very clear ROI.”


Jeff Herbst, Founding Managing Partner

at GFT Ventures



Best Technology:

Twelve Labs

“Twelve Labs successfully tackles a compelling use case: search for and within videos. Having developed a multi-modal, contextual natural language solution, Twelve Labs makes it easy for consumers to search for and find the video fragments they’d like to watch. The natural language interface and the mapping of videos into a vectorized space allow for deeper queries and better contextual understanding, as their demo showed.”


Sami Niemi, Partner at Spintop Ventures  



Special Recognition:

Zingcam

“With visuals becoming so important to so many people in so many ways, I love the fact that Zingcam brings an element of wonder, whimsy, and delight to how consumers can enjoy viewing their visual memories as photo prints as well as fun videos.”


Anna Dickson, Visual Lead,

Google Image Search at Google

Who attended Visual 1st 2022?

Photos Presenters

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3. At this point in time most generative AI applications are still imperfect prototypes. This means that unrealistic expectations will undoubtedly trigger disappointments (Gartner’s Trough of Disillusionment will soon pop up); and it will take a while before we’ll discover what the most valuable use cases will be – some of which we might not even be able to imagine yet.


4. Generative AI uses input prompts to create output. Currently, the input prompts are text or images which can generate text, image, audio and output, with video, 3D models and shapes as additional output types already reported on in research studies. Ultimately, the input prompts could be any type of data, triggering any type of output, including even multimodal outputs, such as audio combined with visuals.


5. Generative AI won’t remove humans from the creative process but, according to Javier, the technology “will function like an Iron Man suit that we wear to amplify our creative potential. And there will be different kinds of these Iron Man suits offering different capabilities and possibilities.” 


6. Javier sees an important role for prompt engineers, who’ll combine their creativity with technical skills to produce the types of prompts that lead to the desired output. Prompt engineering will become a highly desirable field of expertise. 


7. The use of existing images as data sets for generative AI to create derivative imagery raises important visual rights and plagiarism implications, as we discussed in our Fighting Back: Enforcing visual content rights in the age of deepfakes and rip-off NFTs panel discussion.



Best,


Hans Hartman and Alexis Gerard


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