IBM Watson: The Voice of Art
IBM Watson sought to demonstrate its AI capabilities by addressing the challenge of declining museum engagement among younger audiences. The goal was to create an innovative solution that made art more accessible and interactive, fostering deeper connections with artworks and showcasing Watson's potential in cultural institutions.
Creative Idea
AI allowed museum visitors to converse directly with artworks, personalizing the art experience.
IBM Watson transformed traditional museum experiences by allowing visitors to directly converse with artworks via AI, making art accessible and engaging for a younger audience who felt disconnected from conventional museum settings, fostering deeper personal connections.
Creative Strategy Deconstructed
Company
IBM Watson's advanced AI and natural language processing capabilities enabled direct, conversational interaction with complex artworks.
Category
The museum category typically offered passive, one-way experiences, failing to engage younger audiences seeking interactive and personal connections.
Customer
Younger audiences felt museums were unapproachable and desired direct, personalized interaction with art, rather than just passive observation.
Culture
A cultural shift towards personalized digital interaction and accessible information made a conversational art experience highly relevant.
Company
IBM Watson's advanced AI and natural language processing capabilities enabled direct, conversational interaction with complex artworks.
Category
The museum category typically offered passive, one-way experiences, failing to engage younger audiences seeking interactive and personal connections.
Strategy:
Empower audiences to personally engage with art, transforming passive viewing into an interactive dialogue.
Customer
Younger audiences felt museums were unapproachable and desired direct, personalized interaction with art, rather than just passive observation.
Culture
A cultural shift towards personalized digital interaction and accessible information made a conversational art experience highly relevant.
Strategy:
Empower audiences to personally engage with art, transforming passive viewing into an interactive dialogue.
Results
According to some sources, 1.3 billion tons of food is not consumed every year globally, meaning about one-third of food produced is wasted. This equates to 1.5 tons for each of the 850 million people in the world who do not have enough to eat. Eating habits play a major role in diseases, among the main causes of death in the United States: Heart disease (24.2%), cancer (23.3%), chronic lower respiratory disease (5.6%), cerebrovascular disease (5.2%), diabetes (2.8%), and kidney disease (2.0%). Chef Watson has created a food knowledge database containing recipes, an ingredient ontology, and nutritional facts, as well as characteristics of flavor compounds. The system can generate hundreds of novel recipe ideas, complete with proportions and instructions, and can evaluate quintillions of ingredient combinations. It can help individuals with diabetes develop dishes to regulate blood sugar and satisfy sweet cravings. Chef Watson can also suggest recipes based on ingredients on hand to reduce food waste, specifically targeting the five most wasted foods at home: citrus, sour cream, produce (especially celery), fresh herbs (cilantro, parsley), and bread. A Tex-Mex sandwich was created using these five ingredients.
1.3 B
tons of food not consumed annually
24.2%
deaths caused by heart disease in US
23.3%
deaths caused by cancer in US
Strategy Technique
Build an Utility, Not an Ad
IBM Watson created an AI-powered conversational tool, allowing direct interaction with artworks. This utility transformed passive viewing into an engaging, personalized dialogue for museum visitors.
Explore Technique
Creative Technique
Technology
The campaign leveraged AI to create a novel interactive experience. This technology directly addressed the audience's desire for engagement with art.
Explore Technique
Craft Breakdown
This campaign's core craft lies in the development of IBM's Chef Watson, an AI-driven system designed to generate novel recipes, effectively demonstrated through a compelling presentation that combines persuasive copywriting, clear data visualization, and sophisticated overall design.
The core Chef Watson application, utilizing machine learning and natural language processing to evaluate ingredients and generate novel recipes, represents sophisticated AI development.
The presentation's meticulously crafted script transforms complex technical capabilities into an accessible, persuasive, and inspiring narrative about future food solutions.
Key statistics, system architecture, and process flows are visually simplified and presented through clear and engaging on-screen infographics and data points.
The overall visual aesthetics of the TED presentation, including typography, layout, and brand integration, meticulously articulate IBM's innovative vision.
The seamless integration of advanced AI technology with persuasive storytelling, precise data visualization, and sophisticated design creates a powerful and engaging demonstration of cognitive computing's potential.
