Companies in the telecommunications and IT industry deal with vast amounts of data that is generated from customer data, network data, and the data residing in enterprise databases. Cognitive analytics, with its intelligent and self-learning capabilities, enables telecom operators; for e.g., it continuously optimizes their network operations and achieves the maximum operational efficiency. Additionally, a 360-degree view of the customers and networks across the customer lifecycle journey provided by the cognitive analytics solution enables closed-loop actions and automates real-time decisions.

Cognitive Analytics Solutions in IT and Telecom

Comparing 49 vendors in Cognitive Analytics Solutions across 133 criteria.
2 Experts are advising 41 buyers
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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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Oracle provides Oracle Analytics Cloud with self-service data access and analysis and cognitive cognitive/AI functionality. The analytics cloud service enable users to leverage from smart applications that adapt based on packaged machine learning and AI algorithms to provide intelligent predictions and recommendations.
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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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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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Persado provides a cognitive content platform that combines NLP and machine learning to automatically generate precise words, phrases, and images, aimed at impacting customer’s perception and interests. The platform parses vast amounts of data sets for identifying the emotion quotient and uses this to amplify the impact of marketing campaigns.
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Expert System provides a range of AI, cognitive computing, and semantic technology products to automate customer service, enhance AI robotic process automation, mitigate operational risk, enrich customer analytics, and augment knowledge management.
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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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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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