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  "documentTitle": "2023 AI Here and Now Gartner Business Quarterly 3Q23",
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      "text": "Experiment With Pilots and Mitigate Risks.",
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      "text": "Summarization. ChatGPT and other generative AI techniques can give customers concise instructions to solve a problem — freeing time for customer-facing employees to handle more requests. Content creation. Generative AI can help salespeople create personalized RFP responses with industry terms and processes aligned to the products or services being sold. Marketing can use generative AI's capabilities to efficiently create: More personalized and in-context customer messaging, increasing the number of customers that purchase the product or service.",
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      "text": "Better webpages and merchandise offerings, boosting sales volume. Virtual influencers and brand avatars to mitigate friction in the customer journey, alleviating some of the burden on service teams.",
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      "text": "Optimizing product choices and potentially influencing customers’ decisions — by nudging them toward different options — can accelerate adoption of new products or services. But be cautious with recent advances in generative AI. These tools create derivatives of what already exists, which include hidden biases and the possible violation of ethical, copyright and regulatory standards.",
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      "text": "Executive leaders should: Try small generative AI pilots aimed specifically at improving customer retention, revenue growth or operational efficiency. Locate and carefully curate data sources that will train the models for these initiatives. Question whether generative AI would best serve your use case or whether other more traditional techniques would better address both customer and commercial objectives.",
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      "text": "In 2023, CEOs rank talent shortages and inflation as higher concerns than a recession or rising interest rates. Organizations are therefore seeking productivity gains to offset labor constraints and increasing cost pressures. Generative AI innovations can help raise efficiency, including through:",
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      "text": "Remember this emerging technology is not risk-free. Consider the following factors to plan and implement mitigating steps: Nonsense answers (which nonetheless sound authoritative) are a pervasive problem. In a publicly shared model, data privacy is an issue. As with every machine learning technique, models may provide biased responses, depending on the training data. Copyright violations are a further risk. Governments may impose or interpret regulations that could add risk to current implementations in the future.",
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      "text": "Explore How Generative AI Can Boost Operational Efficiency",
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