AI becomes more everyman-friendly with undetectable integration
Implications - Though AI is used in more ways than ever, it's still difficult for the average consumer to understand. One method of bridging the gap is by integrating methods of machine learning into the end product, benefiting both the development of AI, and the consumer.
Workshop Question - If your brand were to simplify its most dominant commodity, what would this look like? How could you simplify it in a way that all consumers would be able to understand and utilize?
Trend Themes
1. Integration of AI in Products - Integrating methods of machine learning into end products to make AI more accessible for average consumers.
2. Use of AI in Personalized Services - Using AI algorithms to personalize services and products according to the needs and preferences of individual consumers.
3. Machine Learning in Nontraditional Industries - Utilizing machine learning models in industries that were not traditionally associated with AI, such as clothing retail and insurance.
Industry Implications
1. Retail Industry - Retailers can incorporate machine learning algorithms and 3D body scanning to personalize clothes and reduce product returns.
2. Insurance Industry - Insurance companies can use machine learning models to offer low-cost and intuitive insurance packages that align with the needs and habits of younger generations.
3. Automotive Industry - The automotive industry can use machine learning algorithms to create self-driving cars that can learn from the driving behaviors of human drivers.
