The generative-AI-dossier

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The Technology, Media & Telecommunications Generative AI Dossier Language translation at scale Managing risk and promoting trust Fair and impartial Bias in the data used for content personalization could lead to unequal and unfair recommendations for certain groups of customers. In addition, AI applications are often trained on datasets from significant languages, which means LLMs may have lower accuracy rates for less common languages and alternative dialects. Transparent and explainable Messaging and tone may change with language translation, which may negatively impact the text or audio being generated and the overall quality of the content. Localization should be audited to make sure that the messaging remains consistent with the original intent. 01 02 03 04 05 06 Potential benefits Enhancing translation Translation processes using Generative AI can lead to improved speed, accuracy, and scalability. Improving the customer experience A wider availability of language resources with the quality and speed enabled by Generative AI promotes a high-quality user experience. Ensuring quality Organizations can leverage Generative AI to automate quality assurance for the localization of digital assets by providing more accurate natural language processing. 136
The Technology, Media & Telecommunications Generative AI Dossier Technician support on the go (Telco Network Maintenance) Generative AI-enabled simulations can drive network maintenance speed and effectiveness to help field technicians quickly identify and resolve root causes of network issues. Audio Code Issue/opportunity When working in the field, network technicians must reference thousands of documents and procedures to find guidance on resolving network problems and outages. Without access to these troves of information, remediation efforts may be delayed, hampering operations and customer satisfaction. How Generative AI can help Network ops and maintenance Network technicians can leverage an LLM to power their search for solutions to customer network issues and accelerate troubleshooting. Augmented retrieval generation and summarization from internal databases and customer chat history can generate the recommended resolution steps and explanations for network engineers. Network optimization LLMs can help technicians understand network behaviors and create action plans to support network capacity planning and performance. This helps network planning and design, which historically has required high levels of reporting, analysis, and on-site visits. 01 02 03 04 05 06 3D/Specialized PROCESS EFFFICIENCY Image Video Text 137
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The Generative AI Dossier A selecti
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Introduction The advent of Generati
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Broad categories of value capture f
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01 02 The Consumer Generative AI Do
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The Consumer Generative AI Dossier
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01 02 The Energy, Resources & Indus
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The Energy, Resources & Industrials
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The Financial Services Generative A
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01 02 The Government & Public Servi
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Page 143 and 144: Conclusion 01 Getting the most valu
Page 145 and 146: Endnotes 01 1. “Overview,” Urba
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