It's been known for a while that when people discuss important decisions, using visual aids and physical props, it tangibly enhances the team's creativity and ability to focus on the most significant aspects of the decision at hand. Conducting this exercise in a fun, unfamiliar environment makes the whole process even more conducive to creative, out-of-the-box thinking. This idea is behind the setup of many design-thinking and ideation rooms across the world. This 3D-AI hackathon gave us the opportunity to explore the idea further. Our team came up with a concrete business scenario, and an ideal workflow to support it. Although our final implementation fell a bit short of this grand vision, the exercise allowed us to (1) get a deeper understanding of the value of generative ai for purpose-driven decision making (2) get an appreciation of where the tech is today and how it is evolving to effectively support that process and (3) learn a lot, laugh a a bunch, and really come together as a team. In the end we were 13 people from 4 continents and 6 countries, who for the most had never met nor worked together at the beginning of the challenge.Category tags:
"i really liked the idea and believed it will work great but no available code here or demo to try it. keep working till it comes to life"
Walaa Nasr Elghitany
Data scientist and doctor
"Great work, team! STS holds the potential to be at the forefront of decision-making, and the inclusion of a 3D avatar can make this process enjoyable. Keep up the good work!"
co-founder of Stunning Green
"The concept and its business significance were effectively communicated. It's impressive that a highly diverse team came together for this project. Kudos for shedding light on competitors and providing transparent insights into the prototype's development stage. Considering the novelty of the technology, constructing a comprehensive solution within the given timeframe can be challenging. On the technical front, it's worth noting that Shap-e supports text-to-3D output, which might have allowed the team to simplify matters by omitting the StableDiffusion text-to-image integration. The presentation's structure could have been improved for better organization. In sum, the team's efforts are commendable and show a strong commitment to the project. "
Meghana Reddy Guduru
Computer Vision Engineer