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Alibaba Wows #NeurIPS with Voice Assistant Trained to Double Think on Zillions of Customer Calls

Alibaba Wows #NeurIPS with Voice Assistant Trained to Double Think on Zillions of Customer Calls | Language Tech Market News | Scoop.it
The pre-recorded demo call involved the agent asking a customer where he wanted his package delivered. In the back-and-forth exchange, the agent successfully navigated several conversational elements that demonstrated the breadth of its natural-language capabilities.
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Apprente: $4.75 Million in Seed Funding to Develop Self-Learning Interactive Machines

Apprente is building the next generation of conversational, intelligent, interactive machines leveraging its proprietary neuroscience-based AI technology. The company’s technology facilitates lifelong learning (i.e. the ability to capture new information on-the-fly while not forgetting prior information), a concept that comes naturally to humans but not to machines. By designing systems that learn progressively, just as children do when acquiring language, Apprente is poised to dramatically improve the customer service industry.
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Local-Language Customer Support Automation in Asia’s Niche Industries

Local-Language Customer Support Automation in Asia’s Niche Industries | Language Tech Market News | Scoop.it

Sinitic has applied a new solution in two regional niche industries: Regtech, automating multilingual financial consumer complaints for the Central Bank of the Philippines; and iGaming, automating multilingual customer support requests for online gaming operators. In both cases, Sinitic successfully deployed a vertically-integrated product suite powered by the self-built SiniticNLP™ engine, which offers native support for non-English languages such as Chinese, Tagalog, Vietnamese, Japanese and Indonesian.

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Video Overview of Inbenta #NLU Products

Inbenta's natural language understanding enables businesses to reduce their support costs and give their customers over 90% self service rates.

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