Generative AI and E-commerce with Mark Milstein of vAIsual

Generative AI and E-commerce with Mark Milstein of vAIsual

Author: Daniel Jester January 24, 2023 Duration: 25:09

Summary

Just about a year ago, Mark Milstein of vAIsual joined Daniel to discuss what he referred to as the future of image creation. He described the synthographer, some might now call a prompt engineer. An individual who inputs the correct set of instructions to an AI tool that produces photorealistic images. Flash forward to the second half of 2022, when these tools made a huge splash in creative and marketing circles as they were released to the public, sparking tons of conversations about the future of content creation as well as the legality and ethics of it all.

Mark joins Daniel again today for this episode to give an update on the legal side of the AI conversation, make some predictions on commercial use of AI tools, and share with us forthcoming tool that could accelerate an already quick moving technology

Key Takeaways

  • Mark was on this podcast in a previous episode and described a process where a user would enter keywords and an AI based tool would generate photorealistic images. In the second half of 2022, generative AI tools like Dall-e and midjourney burst onto the scene and got creative and marketing professionals everywhere buzzing
  • There are still many ethical and legal concerns that need to be cleared up before we can see true adoption of these tools at the enterprise level. Currently there are some lawsuits on the horizon that will clarify and cement some of these things. Between the the recording of this episode and it's release, new lawsuits have been filed that should answer some of these lingering questions around the legality of data sets used to train.
  • It's possible that some larger organizations with huge image libraries will be able to train their own licensed and un-trained version of one of these tools, overcoming that legality issue around copyright ownership.
  • Sinfusion is a new training algorithm that will allow these tools to create imagery that is very realistic using much smaller data sets then past tools. Mark calls this earth shattering.
  • Regarding Daniel's prediction that a brand may generate a campaign this year using AI, Mark feels that it's indeed possible. The building blocks exist including vAIsual's Dataset Shop which has image datasets are available which are totally released and free for use in this capacity.
  • Mark predicts that legally and ethically viable generative AI tools will be commercially available by the end of summer 2023.

Discount Code

Reminder to use code ECCP to get your first month of PhotoRoom Pro for free! Thanks to the PhotoRoom team for the generous offer. 

Credits
Produced by: Creative Force - creativeforce.io
Edited by: Calvin Lanz Sound - clsound.net
Hosted by: Daniel Jester - danieltjester.com


Hosted by Daniel Jester, The E-commerce Content Creation Podcast goes beyond the surface to explore the intricate world of visual storytelling behind online retail. This isn't just about taking pretty pictures; it's a deep dive into the entire creative engine that powers modern brands. Each conversation examines how photographers, videographers, stylists, and art directors actually work with marketing, merchandising, and tech teams to turn creative vision into tangible business results. You'll hear practical discussions about workflow, technology, and management that sit at the intersection of art and commerce. Covering a landscape that includes beauty, fashion, and countless other sectors, the podcast reveals how strategic content creation directly influences customer experience and organizational goals. For anyone involved in bringing a product to life online, these episodes offer a rare look at the collaborative challenges and solutions that define success in a crowded digital marketplace. Tune in for honest talk about the craft, business, and evolving technology of e-commerce visuals.
Author: Language: English Episodes: 183

The E-commerce Content Creation Podcast
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