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Multi-channel Analytics Stitching it All Together

机译:多渠道分析将它们拼接在一起

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Recent news that Watson, IBM's question-answering supercomputer, has now entered the customer engagement arena might come as a surprise to some. For others, including industry insiders, the Jeopardy-winning robot is a timely solution to an ongoing problem, the overall lackluster state of automated customer service. Each year, according to IBM's GM of Watson Solutions Manoj Saxena, U.S. organizations spend roughly $112 billion on call center labor and software, yet half of the 270 billion customer service calls go unresolved. Let's face it, reaching a live person is rare. That person on the other end actually knowing what they're talking about is even more unlikely.
机译:IBM的问答超级计算机Watson现在已进入客户参与领域的最新消息可能使某些人感到意外。对于包括行业内部人士在内的其他人来说,屡获殊荣的机器人是及时解决当前问题的解决方案,该问题通常是自动化客户服务的低迷状态。根据IBM Watson Solutions总经理Manoj Saxena的说法,美国组织每年在呼叫中心人工和软件上的支出约为1,120亿美元,但2,700亿客户服务呼叫中有一半没有解决。面对现实吧,接触一个活生生的人很少。对方真正知道他们在说什么的可能性更小。

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