Robotics & Machine Learning Daily News2024,Issue(Jun.3) :128-132.

Researchers Submit Patent Application, 'Systems For Transitioning Telephony-Base d And In-Person Servicing Interactions To And From An Artificial Intelligence (A i) Chat Session', for Approval (USPTO 20240163372)

研究人员提交专利申请,“将基于电话的D和面对面服务的互动转换到人工智能(A I)聊天会话的系统”,以供批准(USPTO 20240163372)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :128-132.

Researchers Submit Patent Application, 'Systems For Transitioning Telephony-Base d And In-Person Servicing Interactions To And From An Artificial Intelligence (A i) Chat Session', for Approval (USPTO 20240163372)

研究人员提交专利申请,“将基于电话的D和面对面服务的互动转换到人工智能(A I)聊天会话的系统”,以供批准(USPTO 20240163372)

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摘要

Robotics&Machine Learning Daily News Daily News的新闻记者兼新闻编辑从华盛顿特区报道说,发明者KARP,Scott(弗吉尼亚州麦克莱恩);Kaushik,Deepak(弗吉尼亚州维也纳)于2024年1月25日提交的专利申请于2024年5月16日在线提供。本专利申请没有受让人。新闻编辑从发明者提供的背景信息中获得了以下引文:“提供与客户账户相关的产品和/或服务的组织传统上依靠实体地点的当面服务、呼叫中心、IVR系统与客户互动进行账户服务。”实体地点的当面服务和配备人力代表的呼叫中心可以提供某些优势,特别是对于那些希望与人交谈的客户。然而,这样的人员配置对组织(进而对客户)来说成本过高,并且往往导致客户等待时间过长。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journali sts report that a patent application by the inventors KARP, Scott (McLean, VA, U S); Kaushik, Deepak (Vienna, VA, US), filed on January 25, 2024, was made availa ble online on May 16, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “Organizations that offer products and/or services associat ed with customer accounts have traditionally relied on in-person servicing at a brick-and-mortar location, call centers, IVR systems to interact with customers for account servicing. “In person servicing at a brick-and-mortar location and call centers staffed wit h human representatives can provide certain advantages, particularly for custome rs who wish to speak to a human. However, such staffing can be cost-prohibitive on the organization (and, in turn, the customers) and often results in long wait times for customers.

Key words

Artificial Intelligence/Emerging Techno logies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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