AI Work
Currently I use AI to for hyper-targeted experiences, accelerated innovation and explore its limits through experimentation.
Here are a couple of examples illustrating how I utilized IBM’s AI + machine learning engines, in architecture, fashion, music and entertainment. These examples showcase how AI can be used in a responsible way to invent and explore new frontiers for businesses and deliver a transformative and authentic advertising experience to its target audience.
Other AI tools I like: Anthropic, OpenAi, Midjourney, Firefly, Runway and Suno
The Cognitive Dress made its debut at the Met Gala and was able to change and react to real-time social media conversations around it.
Fashion + AI
The Cognitive Dress made its debut at the Met Gala and is the world’s first garment that can be talked to and be transformed by human interaction.
The LED lights embroidered into the flowers on the dress are connected to the Watson tone analyzer service, which translated what fans were saying about the Met Gala on social, and changed the color of the dress according to the underlying emotions. This data is sent into a small microcomputer, hidden inside the dress, which causes the LED lights to shift color.
Generative AI + machine learning:
Tone Analyzer
Color Theory Tool
The dance floor is being powered by the collective social sentiment of the community.
Entertainment + AI
Daybreaker utilized Watson to personalize event experiences for participants based on their personalities and to inspire the event's culinary and musical elements. Attendees could voluntarily share their social information during registration on an IBM-owned page, allowing Watson's Personality Insights service to analyze their text and curate event tracks, assign category colors, suggest fitness classes, and provide original Watson BEAT music.
A responsive floor at the event reflected aggregated Personality Insights analyses, translating shapes and colors based on attendees' social media profiles or survey responses.
Simultaneously, Watson's Tone Analyzer processed social conversation with specific keywords like ‘goodmorning’ , ’riseandshine’ etc, determining sentiment reflected in the color of Daybreaker's rising sun installation.
Special menu creations by Chef Watson were also served at the event.
Generative AI + machine learning:
Personality Insights
Tone Analyzer
Watson BEAT
Chef Watson
In the context of Mobile World Congress, the sculpture helps visitors envisage how AI can be used to invent and explore new frontiers.
Architecture + AI
By analyzing thousands of images, literary works, articles, and music related to Gaudi and Barcelona, Watson became an expert, seamlessly integrating diverse mediums to help the team in understanding a century of inspiration and re-inspiring the design process.
The sculpture, responsive to social sentiment, utilizes the IBM Watson Tone Analyzer API to identify and reflect the sentiment through three funnels representing distinct topics.
One funnel addresses how open people are to AI at Mobile World Congress. The openness score for each tweet related to AI will drive the ring height
The second funnel contains three rings that react to Watson’s confidence level in how open people are to the top 3 trending topics of the moment
The third funnel addresses the collective buzz of the event. Each ring represents a personality trait (Passion, Joy, Excitement, Curiosity & Encouragement) and confidence scores drive the ring height