Leveraging Machine Learning and AI in R&D, Engineering and Science

Presented by

Wayne Levin, President & CEO | Farhan Mansoor, Software Engineer, Predictum

About this talk

In this webinar, we will give an overview of advanced capabilities for addressing the operational challenges faced by engineers, scientists, and researchers with the increased use of machine learning and artificial intelligence. We will highlight some of the activities involved in leveraging machine learning and artificial intelligence in a developing a comprehensive solution: - Data ingestion process for collecting and identifying relevant data to fuel machine learning algorithms - Using semi-automated features to speed up the model construction process - How the resulting robust models can be optionally integrated with a virtual laboratory system Using a virtual laboratory system as part of an integrated solution powered by machine learning increases R&D productivity, ensures maximum benefit from lab resources, and helps to manage common business problems, such as mitigating risk associated with the cost and availability of raw materials. Who should attend: - Engineers, scientists and other analysts who are interested in extending their use of machine learning and artificial intelligence - Managers who are looking to accelerate productivity and innovation of scientists and engineers in their teams Join BrightTALK's LinkedIn Group for BI & Analytics! - http://bit.ly/BrightTALKBI

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