Description
Automate software coding, testing and production deployment
Linked Case Studies
Case Study
Capgemini
Capgemini improves software development productivity and quality by using machine learning driven "low-code development"
Case Study
Uizard
Uizard uses deep learning to generate lines of code from images of graphical user interfaces with 77% accuracy
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Electronic Arts
Electronic Arts is developing an AI agent which can test for quality assurance during video game production by learning to play against humans
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H&R Block
H&R Block improves filing acceptance rates by 10% by monitoring the performance of its online tax filing application and user experience using machine learning
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Rice University
Rice University researchers are developing an application that writes Java API code snippets using deep learning
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Expedia
Expedia Affiliate Network optimises resource utilization and deploys changes 50% faster by constant monitoring of cloud-hosted applications using machine learning
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Code.org
Code.org saves 80% testing time by automating user interface testing across different devices and platforms using visual validation tools
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Trek Bicycle
Trek Bicycle reduces error rates in its website and bike sharing app services from 8-14% to <1% using machine learning to monitor anomalies in real-time
Case Study
H2O.ai
H2O.ai to offer interpretable ready-to-deploy deep learning and machine learning algorithms for enterprises to enable a faster transition to AI