Project Vision Cast

[Eric Matisoff] So I'm excited to introduce Sanyam who will present Project Vision Cast. Take it away, Sanyam. [Ken Jeong] Hi, Sanyam. How are you doing, sir. [Sanyam Jain] Hi, everyone.

Let's get started. As an analyst at a fashion brand, I love data insights, but sometimes I struggle to visually communicate my ideas in a creative way. I have noticed certain lifestyle imagery driving higher conversion than others, and I want to share this insight with my creative team as they plan the shoot for our upcoming Spring Box collection to see if we can capitalize on the learnings and use it in the next campaign. Normally, I communicate like this. [Ken Jeong] Oh boy. [Sanyam Jain] But that's not the most consumable format. So, instead of reports and attachments, I'm going to express my findings in a more visual and creative way with Project Vision Cast. Let me just switch, I'm going to upload a 3D render of a bag from the upcoming collection to ideate a hypothesis. I have already copied a search string, I'm going to paste it here.

Let me copy it again and paste it.

I'm going to compare and combine this bag with relevant high-converting lifestyle images from previous 12 months.

The system is going to analyze from campaign performance data to surface a set of product relevant images with proven engagement, click through and conversion rates.

So this is great. We have already found high-converting images. Already much better than what we see in a spreadsheet.

I would like to now imagine what creative direction we can take by incorporating this bag into these images to get our ideas flowing for our photoshoot. So Ken, I want this bag into these images. You are really multi-talented. So I want to know how is your image editing skill? [Ken Jeong] How's my what? I am so sorry. [Sanyam Jain] Image editing skill? [Ken Jeong] My image... Oh God, it's impeccable. It's like incredible. I don't know what the f*** I'm doing, I'm sorry, Sanyam. [Sanyam Jain] I guess that is why you're in that chair and I'm presenting the idea.

I'll select the top four and hit Generate and let the system do its magic. Fortunately for me, Project Vision Cast allows me to participate in data by creative ideation to place my product render in context. And this is what we get. We have this product in the image we have extracted the key attributes and summarized the insights. Now I'd like to share this insight and send it over to Project Concept, an ideation space from where my creative colleagues can now pick it up.

And if I zoom into it a bit, let me do it. And not only create the moodboard, we also create the ideation starters by extracting key attributes from hidden data such as textures, tones, and other things as well.

[Eric Matisoff] Beautiful, it looks great. - [Ken Jeong] That's outstanding, man. [Ken Jeong] That is great. [Sanyam Jain] So our project has unlocked a lot of hidden data, and from my reports I presented it in a lot of creative concepts, my creative team can now do data-backed ideation and they can explore more ideas and images. But that was just one product. We are doing an entire collection, so let's do it for the whole bunch.

I'll go back to my Project Vision Cast surface, and I'm going to do it for several images.

I have uploaded multiple images with a similar search string. Instead of curating the results, I'm going to turn on this automatic mode and let Project Vision Cast run autonomously to generate the results.

[Eric Matisoff] Let's see it work. [Sanyam Jain] I hope so. [Eric Matisoff] I hope so. [Applause] [Ken Jeong] Yes, that's great, I love it. [Sanyam Jain] Project Vision Cast has done all the difficult reporting and visualization work for me. I'll take this result, send it over to Project Concept. And this time around I will get a view of different product sections in different areas. So I can easily visualize how it's coming along. Thanks to Project Vision Cast, I can share my learnings more effectively, learnings more effectively, as well as I can share deep insights and performance data in a way that I don't need to explain my spreadsheets. So this was Project Vison Cast for you. Thank you. [Ken Jeong] Great job. [Eric Matisoff] Awesome, thank you, Sanyam. [Ken Jeong] That is great.

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Project Vision Cast - GS3-4

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About the Session

Bringing new products or campaigns to market requires deep collaboration between marketers and creatives, and it is critical for teams to be aligned during the ideation stages and avoid delays. Project Vision Cast combines the power of data with brand imagery to create low-fidelity composites of new products – leveraging generative AI to enable tighter cross-team collaboration. The composites – along with associated data points – are sent to Adobe’s Project Concept, an AI-first application to foster the creative brainstorming process. This drives efficiencies by preparing teams for upcoming photoshoots for instance, driving tighter collaboration and creative ideas in the ideation stages.

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