Cognitive analytics helps the manufacturing industry in increasing the productivity, yield, and quality, with its ability to analyze vast amounts of unstructured data coming from several remote devices as well as from enterprise databases; while continuously learning, improving employee actions, processes, and outcomes. Cognitive manufacturing leverages current production technologies, such as industrial IoT, analytics, mobility, collaboration, and robotics to provide tangible benefits. Manufactures can assess the performance of their equipment and receive immediate answers, preventing the unplanned downtime. The technology enables them to access years of stored performance insights, quality assessments, and manuals and repair details presented in context with their needs. It addresses the potential critical parts shortage by providing supplier/ecosystem detail, and weather and transportation information and company expertise, all in a shared resolution room.

Cognitive Analytics Solutions in Manufacturing

Comparing 49 vendors in Cognitive Analytics Solutions across 133 criteria.
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The IBM Watson platform represents a new era of computing based on its ability to interact in natural language, process vast amounts of disparate forms of big data, and learn from each interaction.
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Microsoft Azure infuses apps, websites, and bots with intelligent algorithms to see, hear, speak, understand, and interpret user needs through natural methods of communication to transform businesses
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Ipsoft Amelia is an intelligent virtual agent that helps in communicating and interacting directly with corporate systems. It delivers real-life business benefits including lower operating costs, higher customer satisfaction and increased employee productivity. It helps in decision making and allowing performance outcomes to become more predictable.
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Nuance drives AI innovations throughout the customer life cycle with focus on prediction, conversation, and analytics backed by cognitive engines and human assistance.
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Intel's Saffron obtains data from disparate sources and automatically connects the dots to help a variety of businesses improve decision making.
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The HPE Cognitive Computing Toolkit (CCT) is a GPU-accelerated platform for deep learning and other advanced analytics. It provides an embedded Domain-specific Language (DSL) designed to maximize ease of programmability, while preserving the semantics necessary to generate efficient GPU code.
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Digital Reasoning has a focused product portfolio including AI Solutions for Finance, healthcare, security and intelligence, and government sector. The company has developed AI technology for understanding human communication, both written and spoken.
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Enterra Solutions’ cognitive computing refers to software that combines humanlike reasoning with cutting-edge mathematics, wrapped in natural language, to solve complex problems.
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Sparkcognition provides a number of AI products for asset protection and optimization, business process automation, automated data science platform, and endpoint security.
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Google Cloud Machine Learning helps developers build models on the basis of its open source TensorFlow library. Google Cloud Vision API takes incredibly complex machine learning models centered on image recognition and formats it in a simple REST API interface.
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SAS Cognitive Analytics contributes critical components to the cognitive computing mix, which is in the form of NLP, text analytics, and data mining solutions based on structured data.
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Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers businesses. AWS converts text to speech conversion based on deep learning and a forthcoming Alexa AI service for natural language question answering.
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