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Artificial Intelligence (AI) is seeing another spring and becoming a ubiquitous part of society. Researchers and engineers have made important steps towards solving practical problems in machine learning, particularly in such applications as vision, speech, machine translation, and decision making.Due to technological advancements coupled with progress in research and innovation, AI is quickly becoming a part of every company’s operations. This progress brings its own challenges, such as supply of sufficient talent, resources, and data. The most pressing problem is the availability of well-labeled data to support the supervised learning process. Even when unstructured data is abundant, converting it to a labeled dataset is an extremely laborious and costly process. There is a need to address the challenges of practical AI adoption wholesale -- on a platform level. Until this is done, most businesses will be struggling to adopt AI. Due to the disparity in resources and focus among companies, we will continue to see a widening gap between early adopters and legacy operators, putting the latter at an extreme strategic disadvantage.Neuromation offers a unique solution that unites market resources, the scientific community, and commercial and private entities into an integrated marketplace - the Neuromation Platform. To address the most critical issue, Neuromation focuses on synthetic datasets that have been proven to yield compelling results. Using synthetic datasets in machine learning will further decrease the cost of--and will ease--widespread AI adoption.