IBM Watson Speech-to-Text enables better customer service, allowing users to ask questions using natural language – fast-tracking them to the answers they need – with customized speech-to-text capabil...ities, driven by machine learning. Read more
The top three of IBM Watson Speech-to-Text’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
The top three of IBM Watson Speech-to-Text’s competitors in the NLP And Text Analytics category are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
Around the world in 2023, over 33 companies have started using IBM Watson Speech-to-Text as NLP And Text Analytics tool.
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The three top industries that use IBM Watson Speech-to-Text for NLP And Text Analytics are Artificial Intelligence (7), Machine Learning (4), Analytics (3).
The majority of IBM Watson Speech-to-Text’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (13 companies), 0 - 9 employees (6 companies), 20 - 49 employees (6 companies).
The top three geographies of IBM Watson Speech-to-Text for nlp-and-text-analytics are the United States with 19(48.72%), Canada with 5(12.82%), India with 3(7.69%) customers respectively.
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IBM Watson Speech-to-Text’s Top competitors in the nlp-and-text-analytics category are Hugging Face, Dragon NaturallySpeaking, IBM Watson Assistant. You can view a full list of IBM Watson Speech-to-Text competitors IBM Watson Speech-to-Text vs Hugging Face IBM Watson Speech-to-Text vs Dragon NaturallySpeaking IBM Watson Speech-to-Text vs IBM Watson Assistant .
. 6sense uses advanced data mining and AI algorithms to track customers and of IBM Watson Speech-to-Text and 40,000 other technologies on the internet.You can also compare IBM Watson Speech-to-Text and its feature with top competitors here :The majority of IBM Watson Speech-to-Text’s customers for the nlp-and-text-analytics category fall in the company size of 10,000+ employees (13 companies), 0 - 9 employees (6 companies), 20 - 49 employees (6 companies). You can view a distribution chart of IBM Watson Speech-to-Text customers by company size
.IBM Watson Speech-to-Text has market share of 1.33% in nlp-and-text-analytics market. IBM Watson Speech-to-Text competes with 23 competitor tools in nlp-and-text-analytics category. The top alternatives for IBM Watson Speech-to-Text nlp-and-text-analytics tool are Hugging Face with 18.88%, Dragon NaturallySpeaking with 15.74%, IBM Watson Assistant with 13.94% market share.
Top industries that use IBM Watson Speech-to-Text for nlp-and-text-analytics are Artificial Intelligence (7), Machine Learning (4), Analytics (3).
Around the world in 2023, over 33 companies have started using IBM Watson Speech-to-Text as nlp-and-text-analytics tool. Companies using IBM Watson Speech-to-Text for nlp-and-text-analytics are majorly from United States with 19 customers. 48.72% of IBM Watson Speech-to-Text customers are from the United States. Other top countries using IBM Watson Speech-to-Text are Canada and India with 5(12.82%) and 3(7.69%) customers respectively.
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