Delegated Interfaces
Seamless
Machining
AI becomes more everyman-friendly with undetectable integration.
Trend
What is the Seamless Machining trend?
Seamless Machining: 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.
Trend themes
Themes within the Seamless Machining trend
Three behaviours holding the trend togetherIntegration of AI in products
Integrating methods of machine learning into end products to make AI more accessible for average consumers.
Use of AI in personalized services
Using AI algorithms to personalize services and products according to the needs and preferences of individual consumers.
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
What the Seamless Machining trend means for industry
Where the trend changes the playbookRetail Industry
Retailers can incorporate machine learning algorithms and 3D body scanning to personalize clothes and reduce product returns.
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.
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.
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 signals
Trend signals for Seamless Machining
Trend score 4.1 out of 10, from popularity 75%, activity 40%, freshness 8%.
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer
Evidence
Examples of the Seamless Machining trend
4 featured examples from Sep 15 to Oct 12, 2016Bot-Powered Insurance Plans
Lemonade is a Low-Cost P2P Insurance Provider
Insurance providers can adapt to a Millennial population by integrating machine learning algorithms and intuitive payment plans.
Machine Learning Cars
The 'Nvidia BB8' AI Learns to Drive Based on Human Drivers' Behaviour
The self-driving capabilities and machine learning technology of the Nvidia BB8 hold disruptive innovation potential in the automotive industry.
AI Fashion-Fitting Systems
Body Labs Blue Uses AI and Machine Learning to Fit Garments
Leveraging AI and machine learning to enhance the online shopping experience, particularly in the fashion industry.
Bias-Recognizing News Apps
'Contempo' Recognizes and Sorts Political Biases in News Stories
The news media industry can leverage bias-recognizing news apps to enhance transparency and rebuild trust with consumers by showcasing diverse perspectives.