5 Generative AI Risks in CX and EX: Build or Buy
2024 ebook | Enterprise Guide to Build vs. Buy
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Inside, find solutions to generative AI risks, like:
Avoid potential exposure of your proprietary information through public GenAI engines [Page 6]
Ensure secure content retrieval so users only generate answers from content they have access to [Page 9]
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Integrate secure connectors to every critical system where your data lives so GenAI can provide answers [Page 8]
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Provide high-quality and relevant generated answers [Page 9]
Prevent the outdated content risks – especially vital for financial services and healthcare enterprises [Page 12]
Enterprises who can apply Gen AI solutions quickly – while ensuring Retrieval Augmented Generation (RAG) accuracy, privacy and security of data – will find themselves ahead of competition in the quickly-developing AI landscape.
Why adopting GenAI is a must-do on every CIO’s list.
What’s making prompt engineering difficult for enterprises to take advantage of GenAI
How Enterprises can implement RAG so they can fully realize its potential – without risks and AI hallucinations
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Avoid generating misleading – and factually incorrect – text [Page 14]
Keep your answers free of ethical and legal ramifications due to inaccuracies [Page 15]
Provide a “unified” chat and search experience where users get consistent answers across all channels[Page 17]
Eliminate the burden of costly GenAI building and maintenance [Page 19]