Category
Tech
Delegated Interfaces
Trend cluster
Category
Trained
Technology
Companies use crowdsourcing to train neural networks for better AI.
3.5
Trend score
Trend
What is the Trained Technology trend?
Trained Technology: Rigorous testing of AI means gathering mass amounts of data that are difficult to accumulate in the lab. Instead, companies have begun to train their machines with crowdsourced online games through which users unwittingly improve the quality of the AI. Gamifying technical aspects of one's brand cleverly redirects the wealth of information embedded in the crowd toward product improvement.
Trend themes
Themes within the Trained Technology trend
Three behaviours holding the trend together01
Crowdsourcing AI Training
Companies are using crowdsourced online games to improve the quality of their AI by training their machines with massive amounts of accumulated data.
02
Prototyping with Pattern Recognition Algorithms
Platforms like MLJAR offer prototyping and development services by using pattern recognition algorithms.
03
User Testing Beta Software Projects
Area 120 has opened a beta-testing signup for users to test new software projects before they hit the public.
Industry implications
What the Trained Technology trend means for industry
Where the trend changes the playbookFor
Artificial Intelligence
AI companies can turn to crowdsourcing and pattern recognition algorithms for improving their AI technology.
For
Machine Learning
There is a growing trend of machine learning platforms, such as MLJAR, that offer predictive model building services.
For
Software Development
Businesses in software development can utilize beta testing programs for Area 120 projects.
Workshop question
How could your brand harness the power of the crowd to improve your product?
Trend signals
Trend signals for Trained Technology
Trend score 3.5 out of 10, from popularity 52%, activity 46%, freshness 8%.
Popularity52%
Activity46%
Freshness8%
Audience
50%Men
50%Women
- Gen Alpha
- Gen Z
- Millennial
- Gen X
- Boomer (not a primary audience)
Market
North America
Europe
Evidence
Examples of the Trained Technology trend
5 featured examples from Nov 17, 2016 to Oct 4, 2017CategoryTech
Neural Network Training Games
Google's 'Teachable Machine' Lets Any User Train an AI System
The AI industry can leverage these methods to improve image recognition algorithms and make them more accurate and diverse.
CategoryTech
Neural Network Drawing Games
'Quick, Draw!' Teaches Google's Neural Network to Recognize Drawings
Tech companies can use Quick, Draw!
CategoryTech
Predictive Model-Building Platforms
Machine Learning Platform MLJAR Uses AI for Prototyping
The financial industry can benefit from MLJAR's predictive model-building platform for credit scoring and stock prediction, improving risk assessment and investment strategies.
CategoryTech
Advanced Beta Testers
Interested Participants Can Sign Up for Testing Google's Area 120 Projects
Technology companies should offer early beta testing to engage early adopters and receive valuable feedback to improve their products before they launch to the market.
CategoryTech
Animated Drawing Datasets
'Quick Draw! The Data' Shows How People Drew the Same Concepts
Interactive drawing games can be incorporated into educational technology to improve learning outcomes through visual learning.
