H2O.ai, the AI Cloud leader, announced H2O Hydrogen Torch, a deep learning training engine that makes it easy for companies of any size in any industry to make state-of-the-art image, video and natural language processing (NLP) models without coding.
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“H2O Hydrogen Torch has been a key enabler in helping us operationalize machine learning for shifting data. We can get from a new dataset to a deployed model and updated tables in our data warehouse in a couple of days instead of weeks.”
Until now, creating deep learning models has required extensive data science knowledge and time. H2O Hydrogen Torch was developed by the world’s best data scientists, Kaggle Grandmasters, and the challenging parts of creating world-class deep learning models are handled automatically by the product. Through a simple, no-code user interface, data scientists and developers can rapidly make models for numerous image, video and NLP processing use cases, including identifying or classifying objects, analyzing sentiment or finding relevant information in text.
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According to multiple analyst estimates, 80% to 90% of data is unstructured information, yet only a small percentage of organizations are able to derive value from unstructured data. Deep learning models provide the ability to unlock opportunities to transform industries including healthcare (computer-aided disease detection or diagnosis through the analysis of medical images), insurance (automation of claims and damage analysis from reports and images) and manufacturing (predictive maintenance by analyzing images, video and other sensor data).
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Said Stelios Anagnostopoulos, CTO at Aura.ceo, “H2O Hydrogen Torch has been a key enabler in helping us operationalize machine learning for shifting data. We can get from a new dataset to a deployed model and updated tables in our data warehouse in a couple of days instead of weeks.”
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