Remove about faq
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Six ways AI can influence the future of customer service

IBM Journey to AI blog

There is no question that customer service is about to take a massive leap forward, thanks to emerging trends like artificial intelligence (AI). Generative AI-based frequently asked questions (FAQs) Organizations can no longer draft FAQs based on their own knowledge and forget about updating them for months or years.

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AI in HR: Navigating the Opportunities and Challenges

Unite.AI

Current fears in HR about using Large Language Models (LLMs) and AI technologies primarily revolve around several key concerns. The first, and most talked about: job displacement. HR professionals worry about the impact on employment levels and the need to retrain or upskill employees whose jobs may be affected.

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professionals

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Automate and implement version control for Amazon Kendra FAQs

AWS Machine Learning Blog

Amazon Kendra FAQs allow users to upload frequently asked questions with their corresponding answers. As of this writing, when you want to update FAQs, you must delete the FAQ and create it again. In this post, we present a simpler, faster approach for updating your Amazon Kendra FAQs (with versioning enabled).

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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Journey to AI blog

If you were to ask your customers what they notice and appreciate about chatbots, the following would likely top their list. Website visitors might inquire about features, attributes or plans. Gather new insights without cookies Machine-learning chatbots can collect data and new insights about your target audience.

Chatbots 239
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How chatbots improve human resource operations

IBM Journey to AI blog

Today’s HR departments struggle to efficiently manage human resource operations and routine tasks, wasting time daily answering employees’ FAQs in the absence of a self-service system. Chatbot platforms can also provide reminders, conduct surveys, and collect feedback to enhance employees’ experiences.

Chatbots 166
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Level up your Kafka applications with schemas

IBM Journey to AI blog

The applications all need to share the same assumptions about the structure of the data. Learn more about Kafka and its use cases here. For any challenges in set up, see our Getting Started Guide and FAQs. In the scope of Kafka, a schema describes the structure of the data in a message.

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Customer service vs customer experience: Key differentiators

IBM Journey to AI blog

Providing great customer service involves making important decisions about pricing, branding, positioning, and use cases. They are thinking about the holistic picture of the entire customer journey from awareness to consideration to purchase and post-purchase. Customer service is focused on post-purchase.