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Artificial Intelligence (AI) will define the next generation of software solutions. Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.

Artificial Intelligence (AI) Discover the best ways to build AI into your business. Watch now . Join our expert-led Data and AI monthly calls. Learn how to extend your data platform, advanced analytics, and business intelligence practice with our Data and Artificial Intelligence community calls for Microsoft US partners. ...

Much of the recent success in artificial intelligence in solving games such as Go, Pac-Man, and text-based RPGs rely on reinforcement learning, where good actions are rewarded and bad actions are penalized. However, it requires a large number of trials in such an action-reward framework for a computational agent to learn a reasonable policy.

While the hype of artificial intelligence (AI) and its potential role as a driver of transformational change to businesses and industries is pervasive, there are limited insights into what companies are actually doing to reap its benefits. This report aims at getting a deeper understanding of how companies cur-rently manage their AI activities, and

Artificial Intelligence; Make your data science workflow efficient and reproducible with MLflow. Thursday, June 13, 2019. When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files.