Unanimous AI Used Machine Learning to Predict the Next World Series Winner
Daniel Johnson — October 28, 2019 — Lifestyle
References: unanimous.ai & engadget
The Silicon Valley startup Unanimous AI is using its technology to predict the outcome of the Major League Baseball season. In order to predict the season, Unanimous AI compiled 50 MLB fans and connected the individuals to the Swarm AI platform.
The platform enables the 50 fans to combine their knowledge, allowing the company the ability to predict the outcome of events better than any one individual. When individuals use the Swarm AI platform they are asked questions and then answer by moving a cursor toward a corresponding answer.
The company has a history of predicting the outcomes of different events. In 2016 the company was able to predict 11 out of the 15 total Academy Award recipients. Additionally, in 2017 the company was able to predict the top four finishers of the Kentucky Derby.
Image Credit: Shutterstock
The platform enables the 50 fans to combine their knowledge, allowing the company the ability to predict the outcome of events better than any one individual. When individuals use the Swarm AI platform they are asked questions and then answer by moving a cursor toward a corresponding answer.
The company has a history of predicting the outcomes of different events. In 2016 the company was able to predict 11 out of the 15 total Academy Award recipients. Additionally, in 2017 the company was able to predict the top four finishers of the Kentucky Derby.
Image Credit: Shutterstock
Trend Themes
1. Machine Learning for Sports Prediction - Using machine learning algorithms and leveraging collective intelligence to accurately predict sports outcomes.
2. Swarm AI Platforms - Developing platforms that enable large groups of individuals to combine their knowledge and make accurate predictions through collective decision-making.
3. AI-based Event Outcome Predictions - Utilizing AI technology to forecast the results of various events with a high degree of accuracy.
Industry Implications
1. Sports Analytics - Applying advanced analytics and machine learning techniques to optimize team performance and improve overall sports predictions.
2. Artificial Intelligence - Leveraging AI technologies to develop predictive models for various industries, including sports, to enhance decision-making processes.
3. Collective Intelligence - Building platforms that harness collective human intelligence to make accurate predictions and inform decision-making in different domains.
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