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Generative AI has been used by millions of users worldwide for various tasks, from writing emails to marketing brochures, to generating reports, to even passing university exams. A client's Chief Information Officer (CIO) lamented that these are interesting but hardly meaningful in a business context. You assure this CIO that generative AI is not just useful for grabbing interesting headlines but it is great for businesses as well. What are some valid business use cases for generative AI? 1. Perform strategic extrapolation on competing enterprises based on their past behavior, acquisition history, and gathering information about these companies from the web. 2. Automatically generate new company HR policies whenever there is a question from an employee that has no clear answer from existing policies. 3. Performing data sharing with different teams and companies using the same encoding-decoding foundation models. Users can pass in data and encode it with the model. The recipient will decode and receive the data when decoding it with the same model. 4. Performing summarization of text, extracting of insights, generating new information, classification for sentiment or topics, and Question & Answering (Q&A).
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