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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

We leverage retrieval-augmented generation tasks to create a question-answer feature or multi-lingual conversational chatbot (based on a documents or dynamic content from a broad knowledge base) that provides field service assistance in real time.

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How chatbots can provide a better customer experience

IBM Big Data Hub

However, through the implementation of NLP and business knowledge bases in chatbots, automated responses to the frequently asked questions (FAQS) can be deployed quickly. Watson has solved the problems of business owners across a variety of industries, including banking, retail, government, insurance, and healthcare.

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Sharing best practices in our new Data to Diamonds book

CGI

Making effective use of big data has become a top priority for commercial and government organizations. Therefore, in “Data to Diamonds,” we highlight the business value realized in a wide range of industries and business functions, featuring case studies derived from CGI client engagements. Tue, 12/15/2015 - 07:00.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

It can improve IT automation by building and executing runbooks and helping users transition to new knowledge bases and software. The second cost factor is development effort, which is higher on hybrid and private clouds and maps closely to the third factor, enterprise data security.

Cloud 88
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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

This consistency, derived from the knowledge base, helps to maintain brand integrity and accuracy in customer communications. Government Empower citizens to access basic information on paying bills and upcoming events by using chatbots.

Sales 93
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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

Conversational Knowledge: Reviews, knowledge base, product descriptions and more. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more. Pipeline for generating adverse event narratives Figure 2.

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Incident management vs. problem management: What’s the difference?

IBM Big Data Hub

Organizations try to keep their IT infrastructure in good standing by using IT service management (ITSM) to govern the implementation, delivery and management of services that meet the needs of end users. How do incident management and problem management work together?

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