Natural Language Processing (NLP) has rapidly become just as integral to the workplace as communication itself. From chatbots to language translation to voice-activated assistants like Siri, Bixby, and Google’s voice search, the combination of artificial intelligence (AI) and NLP is driving the transformation from data-driven to intelligence-driven platforms for the modern enterprise. Whether you are looking for voice analytics, voice-based interfaces to query databases, or other voice/NLP solutions, dotSolved has got you covered. Scale voice analytics to query big data with the right tools and platforms Leverage deep learning technologies and reference data with Google Assistant to get what you need when you need it. Transform data into intelligent action. Combine big data and machine learning with the Cortana Analytics Suite. Create queries, search known databases for answers, and apply analytics to your data using large-scale machine learning systems and artificial intelligence algorithms. Step up speech recognition and Natural Language Processing (NLP) with Amazon Alexa. Leverage voice-based interfaces to query database systems Automatic speech recognition technology is advancing. Connected devices are multiplying. With dotSolved, you can leverage artificial intelligence and machine learning so that voice technology can “think” and be more effective at handling enterprise search queries. Use voice and NLP to transform your business functions and operations. Ensure full value from voice based applications with devices like Alexa, Google Home, and Cortana Maximize the power of voice based technologies with a full understanding of benefits and caveats for your use cases and possible scenarios Build a solid AI recommendation process based on demographics, frequent requests, preferences, and history analysis Build advanced, conversational assistants to work and fulfill tasks and voice-enabled transactions for you Adopt best practices for linguistics and enunciation for voice recognition while working with our experts Utilize AI algorithms and voice-enabled applications to monitor and analyze voice data across multiple channels Teach devices to identify and interpret phrases and translate them into commands Reconstruct languages in a way that makes sense using ML and NLP Use machine learning to interpret and analyze customer sentiment Pick up on search queries and gather trends for strategic decision-making Work with a partner who can deliver excellence in voice solutions to tackle your needs. Combine voice data with other data sources to uncover the full context behind the data and pinpoint hidden process issues Process all available unstructured voice data to train on and build correlations from transactions and voice conversations Manage voice data and gain insight to raise quality and efficiency and provide experience-oriented customer care Leverage the power of voice to analyze and optimize business processes and applications through voice activated queries Build smarter, more-inclusive experience using
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