{"id":1163951,"date":"2025-12-16T05:31:09","date_gmt":"2025-12-16T05:31:09","guid":{"rendered":"https:\/\/www.capgemini.com\/in-en\/?p=1163951&#038;preview=true&#038;preview_id=1163951"},"modified":"2026-01-22T07:41:54","modified_gmt":"2026-01-22T07:41:54","slug":"from-words-to-watts-how-prompting-patterns-shape-ais-environmental-impact","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/in-en\/insights\/expert-perspectives\/from-words-to-watts-how-prompting-patterns-shape-ais-environmental-impact\/","title":{"rendered":"From words to watts: How prompting patterns shape AI\u2019s environmental impact"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>From words to watts: How prompting patterns shape AI\u2019s environmental impact<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"\/wp-content\/themes\/capgemini2025\/assets\/images\/cg-logo-white.svg?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Shalini Rajeev, Periyasamy N<\/h5><h5 class=\"blog-date\">Dec 16, 2025<\/h5><\/div><\/div><div class=\"brand-image\"><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><div class=\"article-text article-quote-text\">\n<h2 class=\"wp-block-heading\" id=\"h-large-language-models-llms-have-become-widely-used-across-various-domains-spanning-search-engines-code-generation-and-text-creation\">Large language models (LLMs) have become widely used across various domains spanning search engines, code generation, and text creation.<\/h2>\n\n\n\n<p>However, a major concern associated with their adoption is the high environmental impact of inference, affecting both sustainability goals and operational efficiency. This study empirically investigates the relationship between prompt characteristics and energy consumption in LLMs through Capgemini&#8217;s internal chatbot \u2013 a digital assistant powered by GPT-4 transformer technology supporting over 350,000 users worldwide. We conducted experiments across question answering, code generation, and fact verification tasks, measuring energy consumption, carbon footprint, primary energy, and ADPe values using the EcoAI environmental impact measurement framework. Our results demonstrate that even when presented with identical tasks, Capgemini\u2019s internal chatbot generates responses with varying characteristics and subsequently exhibits distinct energy consumption patterns. We found that prompt length is less significant than the task type itself in determining energy usage. We identified specific keywords associated with higher or lower energy usage that vary between associated tasks, highlighting the importance of prompt design in optimizing inference efficiency. These findings offer practical insights for enhancing the energy efficiency of large language models. By applying green prompting techniques, organizations can make more environmentally conscious choices in AI usage \u2013 reducing energy consumption and carbon emissions \u2013 while maintaining performance standards. This contributes to more sustainable AI operations as the demand for LLM-based solutions continues to grow.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-introduction\"><strong><strong>Introduction<\/strong><\/strong><\/h3>\n\n\n\n<p>This study explores the environmental implications of prompt design in large language models (LLMs), focusing on energy consumption patterns. Using Capgemini\u2019s internal chatbot \u2013 an enterprise-scale digital assistant powered by GPT-4 \u2013 we analyze how different prompt characteristics influence sustainability metrics such as energy usage, carbon footprint, and resource depletion. The study was inspired by <strong>\u2018<strong>Green Prompting\u00b9<\/strong><\/strong>, research by Lancaster University examining how prompt design affects the energy consumption of large language models during inference. This research aims to inform future developments in environmentally responsible AI usage.<\/p>\n\n\n\n<p><strong>Capgemini\u2019s internal chatbot\u00b2 <\/strong>is a smart digital assistant created to support over 350,000 users across HR, IT, finance, and more. It uses advanced AI (via Azure OpenAI) to give accurate, personalized answers based on the user&#8217;s role, location, and needs. It supports multiple languages and ensures privacy by not storing personal conversation links.<\/p>\n\n\n\n<p>By leveraging the <strong>EcoAI<\/strong><strong>\u00b3<\/strong> framework across varied task types such as Q&amp;A, we uncover prompt-level variations in energy efficiency, offering insights into how green prompting strategies may contribute to more sustainable AI interactions. <strong>EcoAI\u00b3 <\/strong>is a Capgemini\u2019s internal AI carbon calculation tool &amp; API designed to help organizations manage sustainability and environmental goals. It collects and analyzes data to track carbon footprints, energy use, and other eco-metrics. By offering real-time insights, EcoAI helps businesses make greener decisions. It\u2019s user-friendly, customizable, and supports better compliance with environmental regulations.<\/p>\n\n\n\n<p>To further align with environmental goals, <strong>green prompting<\/strong> is introduced \u2013 a technique of using AI prompts in a way that reduces energy consumption and carbon footprint. It encourages efficient use of AI models by minimizing unnecessary processing while still achieving accurate results.<\/p>\n\n\n\n<p>This white paper examines how Capgemini\u2019s internal chatbot, EcoAI, and green prompting together inform a more sustainable AI approach. It explores energy and carbon impact measurement through EcoAI and investigates prompt-level efficiency gains. The study aims to highlight pathways for making AI interactions more efficient, ethical, and environmentally conscious \u2013 aligning with Capgemini\u2019s digital responsibility goals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-related-works\"><strong><strong>Related works<\/strong><\/strong><\/h3>\n\n\n\n<p>The study titled <strong>Green Prompting\u00b9<\/strong> by researchers at Lancaster University investigates how the design of prompts influences the energy consumption of large language models (LLMs) during inference. By analyzing three open-source transformer-based models across tasks like question answering, sentiment analysis, and text generation, the researchers discovered that the <strong>semantic content and specific keywords<\/strong> in prompts have a greater impact on energy use than prompt length. For example, prompts containing words like \u201canalyze\u201d or \u201cexplain\u201d tend to trigger more detailed responses, which in turn consume more energy. The study emphasizes that both the <strong>nature of the task<\/strong> and the <strong>length of the model\u2019s response<\/strong> are key factors in determining energy usage. These insights suggest that by carefully crafting prompts, it\u2019s possible to reduce the environmental footprint of AI systems. The research ultimately advocates for the development of <strong>energy-adaptive prompting strategies<\/strong>, which could lead to more sustainable and efficient use of LLMs in real-world applications.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-analysis-design\"><strong>Analysis design<\/strong><\/h3>\n\n\n\n<p>This study aims to analyze inference energy usage patterns in Capgemini\u2019s internal GPT\u20114 chatbot, focusing on how different prompt types affect environmental impact, covering both operational energy consumption and the embodied carbon footprint linked to infrastructure usage time. The experiment evaluates Capgemini\u2019s internal chatbot\u2019s responses to various prompt categories, measuring performance in terms of energy consumption, carbon footprint, and additional environmental indicators such as abiotic depletion potential and primary energy use.<\/p>\n\n\n\n<p>While evaluating, <strong>input<\/strong> prompts are drawn from a dedicated dataset and categorized into three main task types:<strong> question answering (Q&amp;A), fact verification, and code generation<\/strong>. Each of these tasks has constant hyperparameters, including temperature, max tokens, inference time, and memory settings and used <strong>OpenAI tokenizer\u2074 <\/strong>for counting the number of tokens of the input and output prompts.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"576\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/001_Flow-Diagram.jpg?w=960\" alt=\"\" class=\"wp-image-1163952\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/001_Flow-Diagram.jpg 1280w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/001_Flow-Diagram.jpg?resize=300,169 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/001_Flow-Diagram.jpg?resize=768,432 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/001_Flow-Diagram.jpg?resize=1024,576 1024w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>The <strong>Q&amp;A<\/strong> category involved prompts related to internal topics such as Capgemini&#8217;s sustainability initiatives (e.g., inquiring on green technology investments, environmental impact of global operations ), the car lease program (e.g., explaining enrollment processes, parameters for cost-effectiveness), HR policies (e.g., understanding ethical guidelines, training modules for employees), and leave or attendance guidelines (e.g., listing leave types, inquiring on our policy alignment with labor laws).<\/p>\n\n\n\n<p><strong>Fact verification<\/strong> included prompts aimed at validating company-specific information, such as organizational values (e.g., confirming Capgemini\u2019s presence on EV100 initiative), internal data points (e.g., verifying employee counts or sustainability project delivered), and reporting statistics (e.g., checking renewable electricity usage or net-zero commitments).<\/p>\n\n\n\n<p>The third category, <strong>Code assistance<\/strong>, involved querying Capgemini&#8217;s internal chatbot to generate or explain code snippets, particularly in languages like Python (e.g., writing programs to add numbers, create palindrome checkers, or build simple chatbots) \u2013 reflecting common developer support needs in enterprise environments.<\/p>\n\n\n\n<p>To understand how different task types and linguistic structures influence inference efficiency, we also examined a curated set of commonly used task verbs or keywords in prompts. These included terms like <em>justify, analyze, measure, create, explain, list, summarize, translate, write,<\/em> and <em>classify<\/em>. These verbs were intentionally selected to cover a wide range of cognitive operations, from evaluative and analytical to generative and descriptive.<\/p>\n\n\n\n<p><strong>EcoAI <\/strong>is a modular, API-first tool that calculates the environmental footprint of digital workloads. It can ingest raw data about model behavior \u2013 such as token counts, memory usage, hardware type \u2013 and return sustainability indicators.<\/p>\n\n\n\n<p>For each prompt and its corresponding response, we computed several statistical measures to analyze energy and performance variations. These metrics included <strong>sample size<\/strong>, <strong>minimum<\/strong>, <strong>maximum<\/strong>, <strong>mean<\/strong>, and <strong>median<\/strong> values for energy consumption, carbon footprint, abiotic depletion potential and primary energy. These metrics were captured separately for <strong>input<\/strong> and <strong>output<\/strong> phases of each prompt.<br>This expanded the scope beyond the original Green Prompting white paper \u2013 which focused solely on <strong>response energy<\/strong> \u2013 by incorporating more comprehensive environmental metrics. The study now includes measurements of <strong>carbon emissions, abiotic depletion potential (ADPe), and primary energy (PE)<\/strong> for Capgemini\u2019s internal chatbot.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-analysis-results\"><strong>Analysis results<\/strong><\/h3>\n\n\n\n<p>This study evaluated the environmental impact of prompt design in Capgemini\u2019s internal chatbot&nbsp;assistant, powered by GPT-4, using the EcoAI API. We analyzed three task categories \u2013 <strong>Q&amp;A,<\/strong> <strong>fact verification and code generation<\/strong>\u2013 across both&nbsp;input and output stages, measuring&nbsp;energy (Wh),&nbsp;carbon footprint (gCO\u2082e),&nbsp;primary energy (kJ), and&nbsp;abiotic depletion potential (ADPe, kg Sb eq).<\/p>\n\n\n\n<p><strong>1.&nbsp;Task type is the dominant factor in energy and carbon emissions<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Q&amp;A prompts&nbsp;had the&nbsp;highest environmental impact,<\/strong> with output carbon emissions averaging&nbsp;<strong>8.17 gCO\u2082e<\/strong>, <strong>over&nbsp;three times higher&nbsp;than fact verification.<\/strong><\/li>\n\n\n\n<li>Code generation&nbsp;was moderately intensive, while&nbsp;fact verification&nbsp;was the most efficient across all metrics.<\/li>\n\n\n\n<li>Input emissions&nbsp;were relatively low and consistent across all categories, confirming that&nbsp;output generation is the primary contributor&nbsp;to environmental cost.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"106\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture-2.png?w=960\" alt=\"\" class=\"wp-image-1163953\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture-2.png 1186w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture-2.png?resize=300,31 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture-2.png?resize=768,80 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture-2.png?resize=1024,106 1024w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"720\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture1-1.png?w=960\" alt=\"\" class=\"wp-image-1163954\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture1-1.png 1408w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture1-1.png?resize=300,211 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture1-1.png?resize=768,540 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Picture1-1.png?resize=1024,720 1024w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>2<\/strong>. <strong>Output token count predicts energy use; input token count does not<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A strong linear correlation was observed between output token count and output energy across different task types. The <strong>slopes<\/strong> were closely aligned at approximately <strong>31.8 mWh\/token<\/strong> for Q&amp;A, <strong>29 mWh\/token<\/strong> for fact verification, and <strong>27 mWh\/token<\/strong> for code generation, demonstrating consistent energy consumption rates across use cases.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"431\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png?w=960\" alt=\"\" class=\"wp-image-1163955\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png 1967w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png?resize=300,126 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png?resize=768,323 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png?resize=1024,431 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/003_QA_Output-token-vs-Energy.png?resize=1536,646 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"443\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png?w=960\" alt=\"\" class=\"wp-image-1163956\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png 1967w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png?resize=300,130 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png?resize=768,332 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png?resize=1024,443 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/004_Fact-Verification_Output-token-vs-Energy.png?resize=1536,664 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"443\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png?w=960\" alt=\"\" class=\"wp-image-1163957\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png 1967w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png?resize=300,130 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png?resize=768,332 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png?resize=1024,443 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/005_Code-Generation_Output-token-vs-Energy.png?resize=1536,664 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The analysis revealed no consistent correlation between input token count and energy usage, with scattered data points in the graphs indicating high variability. This suggests that prompt length alone is not a reliable indicator of environmental impact. Average energy usage per prompt type varied significantly: Q&amp;A at approximately <strong>1.18 Wh\/token<\/strong>, fact verification at around <strong>3.69 Wh\/token,<\/strong> and code generation at roughly <strong>1.60 Wh\/token<\/strong>, demonstrating that energy consumption varies independently of input token length.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1982\" height=\"763\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png\" alt=\"\" class=\"wp-image-1163958\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png 1982w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png?resize=300,115 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png?resize=768,296 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png?resize=1024,394 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/006_QA_Input-token-vs-Energy.png?resize=1536,591 1536w\" sizes=\"auto, (max-width: 1982px) 100vw, 1982px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1979\" height=\"896\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png\" alt=\"\" class=\"wp-image-1163959\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png 1979w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png?resize=300,136 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png?resize=768,348 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png?resize=1024,464 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/007_Fact-Verification_Input-token-vs-Energy.png?resize=1536,695 1536w\" sizes=\"auto, (max-width: 1979px) 100vw, 1979px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1971\" height=\"831\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png\" alt=\"\" class=\"wp-image-1163960\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png 1971w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png?resize=300,126 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png?resize=768,324 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png?resize=1024,432 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/008_Code-Generation_Input-token-vs-Energy.png?resize=1536,648 1536w\" sizes=\"auto, (max-width: 1971px) 100vw, 1971px\" \/><\/figure>\n\n\n\n<p><strong>3. Keyword choice in Q&amp;A prompts influences energy consumption<\/strong><\/p>\n\n\n\n<p>A detailed breakdown of Q&amp;A prompts using specific action verbs revealed a&nbsp;clear energy hierarchy:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" height=\"433\" width=\"1024\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?w=960\" alt=\"\" class=\"wp-image-1163961\" style=\"object-fit:cover\" srcset=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png 2071w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?resize=300,127 300w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?resize=768,325 768w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?resize=1024,433 1024w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?resize=1536,650 1536w, https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/009_Keyword-Energy.png?resize=2048,866 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prompts like&nbsp;&#8220;justify&#8221;&nbsp;and&nbsp;&#8220;analyze&#8221;&nbsp;are&nbsp;highly energy-intensive, likely due to the depth of reasoning required.<\/li>\n\n\n\n<li>Prompts like&nbsp;&#8220;summarize<ins>,<\/ins>&#8221;&nbsp;&#8220;list<ins>,<\/ins>&#8221; and&nbsp;&#8220;measure&#8221;&nbsp;are&nbsp;more energy-efficient, suggesting that&nbsp;task framing can significantly influence energy use.<\/li>\n<\/ul>\n\n\n\n<p><strong>4. Other environmental metrics follow similar trends<\/strong><\/p>\n\n\n\n<p>Primary energy (kJ)&nbsp;and&nbsp;ADPe (kg Sb eq)&nbsp;values mirrored the energy and carbon trends, with Q&amp;A tasks consuming the most.<\/p>\n\n\n\n<p><strong>Key takeaways<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Task type and output length&nbsp;are the strongest predictors<\/strong> of energy and carbon impact.<\/li>\n\n\n\n<li><strong>Prompt phrasing<\/strong> can significantly influence energy use.<\/li>\n\n\n\n<li><strong>Green prompting&nbsp;strategies<\/strong> (e.g., using concise, low-energy keywords) can reduce environmental impact without compromising performance.<\/li>\n\n\n\n<li><strong>Output generation, not input processing<\/strong>, is the dominant contributor to LLM inference emissions.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-conclusion-and-future-outlook\"><strong>Conclusion and future outlook<\/strong><\/h3>\n\n\n\n<p>This study highlights that the environmental impact of large language model (LLM) inference is significantly influenced by the type of task and the length of the model\u2019s output. Among the tasks analyzed, Q&amp;A prompts were found to be the most resource-intensive, while fact verification was the most efficient.<\/p>\n\n\n\n<p>To that end, we encourage readers to adopt&nbsp;<strong>green prompting practices<\/strong>&nbsp;that reduce energy consumption and carbon emissions without compromising performance. This includes:<\/p>\n\n\n\n<p><strong>Using concise prompts:<\/strong> Instead of \u201cCan you please explain in detail the sustainability goals of Capgemini and how they align with global climate targets?\u201d, use \u201cSummarize Capgemini\u2019s sustainability goals.\u201d<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Choosing low-energy verbs:<\/strong> Prefer verbs like&nbsp;<em>summarize<\/em>,&nbsp;<em>list<\/em>,&nbsp;<em>measure<\/em>, or&nbsp;<em>translate<\/em>&nbsp;over&nbsp;<em>justify<\/em>,&nbsp;<em>analyze<\/em>, or&nbsp;<em>explain<\/em>.<br><\/p>\n\n\n\n<p><strong>Avoiding open-ended or vague prompts:<\/strong> Replace \u201cTell me everything about carbon emissions\u201d with \u201cList key factors contributing to carbon emissions in logistics.\u201d<\/p>\n\n\n\n<p><strong>Limiting multi-part queries:<\/strong> Break down complex prompts into smaller, focused questions to reduce unnecessary output length.<\/p>\n\n\n\n<p><strong>Using structured formats:<\/strong> Request bullet points, tables, or short summaries instead of long-form narratives.<\/p>\n\n\n\n<p><strong>Leveraging prompt templates:<\/strong> Create reusable, optimized prompt templates for common tasks to ensure consistency and efficiency.<\/p>\n\n\n\n<p><strong>Setting output constraints:<\/strong> Use system instructions like \u201cRespond in under 100 words\u201d or \u201cLimit to 3 key points.\u201d<\/p>\n\n\n\n<p>Additionally, understanding that&nbsp;<strong>output generation \u2013 not input processing \u2013 is the primary driver of emissions<\/strong>&nbsp;can help users frame their queries more thoughtfully.<\/p>\n\n\n\n<p>We urge organizations to integrate sustainability into their AI workflows by educating teams on prompt efficiency, leveraging tools like EcoAI to monitor environmental impact, and embedding sustainability metrics into development pipelines. These actions not only align with digital responsibility goals but also contribute to broader climate objectives.<\/p>\n\n\n\n<p>Ultimately, the way we prompt matters. By making intentional, informed choices in how we engage with AI, we can collectively reduce the environmental footprint of digital operations. Let\u2019s empower our people to&nbsp;<strong>prompt smarter, prompt greener<\/strong>, and lead the way in responsible AI adoption.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-acknowledgements\"><strong>Acknowledgements<\/strong><\/h3>\n\n\n\n<p>We acknowledge the foundational work of the <strong>&#8220;Green Prompting&#8221;<\/strong> study by researchers at Lancaster University [1], which inspired our investigation into prompt-level energy optimization. Their insights into the semantic influence of prompts on LLM energy consumption significantly informed the design and direction of our experiments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-references\"><strong>References<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Green Prompting white paper<\/strong> \u2013 Marta Adamska, Daria Smirnova, Hamid Nasiri, Zhengxin Yu, and Peter Garraghan, School of Computing and Communications, Lancaster University \u2013 <a href=\"https:\/\/arxiv.org\/pdf\/2503.10666\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/pdf\/2503.10666<\/a><\/li>\n\n\n\n<li><strong>Capgemini\u2019s internal chatbot<\/strong>\/<strong>Capgemini internal assistant (Teams-integrated):<\/strong><br><em>Capgemini\u2019s internal chatbot is built on Microsoft Azure and Azure OpenAI, and delivers accurate, context-aware, and multi-language responses by drawing from a vast repository of internal documents. It\u2019s uniquely person-aware tailoring answers based on the user\u2019s role, location, and business unit while maintaining strict data privacy by not retaining personal identifiers after a conversation ends. The chatbot integrates seamlessly into daily workflows, offering real-time assistance and even taking action across systems to resolve issues. With robust anti-hallucination guardrails and intuitive design, it ensures zero downtime and maximum user satisfaction setting a new benchmark for intelligent enterprise support.<\/em><\/li>\n\n\n\n<li><strong>EcoAI API<\/strong> \u2013 Capgemini\u2019s internal sustainability calculation tool based on <strong>Ecologits.ai (v0.9) &#8211; <\/strong><a href=\"https:\/\/ecologits.ai\/latest\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ecologits.ai\/latest\/<\/a><strong> &amp; Cloud Carbon Footprint <\/strong>methodology &#8211; https:\/\/www.cloudcarbonfootprint.org<\/li>\n\n\n\n<li><strong>Ecologits.ai(V0.5)<\/strong> \u2013 Emissions modeling platform for AI and LLM workloads <del>&#8211; \u2013 <\/del><a href=\"https:\/\/ecologits.ai\/latest\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ecologits.ai\/latest\/<\/a><\/li>\n\n\n\n<li><strong>OpenAI tokenizer \u2013<\/strong> <a href=\"https:\/\/lunary.ai\/openai-tokenizer\"><\/a><a href=\"https:\/\/lunary.ai\/openai-tokenizer\" target=\"_blank\" rel=\"noreferrer noopener\">OpenAI Tokenizer | Lunary<\/a><\/li>\n<\/ol>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider\"><div class=\"container\"><div class=\"content-title\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Authors<\/h2><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Shalini.jpg\" alt=\"Shalini Rajeev\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB3876bba8_8b74_459a_b6cd_0f83e337a097\" data-bs-expert-title=\"1\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/shalini-rajeev-a04a9440\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Shalini Rajeev<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Sustainable GenAI Lead, Sustainability CoE<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB3876bba8_8b74_459a_b6cd_0f83e337a097\" data-bs-expert-title=\"Shalini Rajeev\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/shalini-rajeev-a04a9440\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Shalini brings a rich and versatile background spanning Strategic Consulting, Delivery Leadership, Pre-Sales &#038; Solutioning, Process Management, Sustainability, and Generative AI. 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class=\"floating-label-content\">Country<\/span>\n\t\t\t<\/label>\n\n\t\t\t<div class=\"select-wrap\">\n<i class=\"icon icon-zodiak-chevron-down\"><\/i>\n\t\t\t\t<select id=\"_mf_1003795_5869_1036802698\" class=\"mf_field__input empty mf-country-selectbox form_country_select\" name=\"_mf_1003795_5869\" data-validate=\"select\" required>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"\"  selected='selected'>Country<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AF\" >Afghanistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AX\" >Aland Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AL\" >Albania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DZ\" >Algeria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AS\" >American Samoa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AD\" >Andorra<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AO\" >Angola<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AI\" >Anguilla<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AQ\" >Antarctica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AG\" >Antigua And Barbuda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AR\" >Argentina<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AM\" >Armenia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AW\" >Aruba<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AU\" >Australia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AT\" >Austria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AZ\" >Azerbaijan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BS\" >Bahamas<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BH\" >Bahrain<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BD\" >Bangladesh<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BB\" >Barbados<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BY\" >Belarus<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BE\" >Belgium<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BZ\" >Belize<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BJ\" >Benin<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BM\" >Bermuda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BT\" >Bhutan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BO\" >Bolivia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BA\" >Bosnia And Herzegovina<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BW\" >Botswana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BV\" >Bouvet Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BR\" >Brazil<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IO\" >British Indian Ocean Territory<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BN\" >Brunei Darussalam<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BG\" >Bulgaria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BF\" >Burkina Faso<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BI\" >Burundi<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KH\" >Cambodia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CM\" >Cameroon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CA\" >Canada<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CV\" >Cape Verde<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KY\" >Cayman Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CF\" >Central African Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TD\" >Chad<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CL\" >Chile<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CN\" >China<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CX\" >Christmas Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CC\" >Cocos (Keeling) Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CO\" >Colombia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KM\" >Comoros<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CG\" >Congo<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CD\" >Congo, Democratic Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CK\" >Cook Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CR\" >Costa Rica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CI\" >Cote D&#039;Ivoire<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HR\" >Croatia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CU\" >Cuba<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CY\" >Cyprus<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CZ\" >Czech Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DK\" >Denmark<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DJ\" >Djibouti<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DM\" >Dominica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DO\" >Dominican Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EC\" >Ecuador<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EG\" >Egypt<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SV\" >El Salvador<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GQ\" >Equatorial Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ER\" >Eritrea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EE\" >Estonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ET\" >Ethiopia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FK\" >Falkland Islands (Malvinas)<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FO\" >Faroe Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FJ\" >Fiji<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FI\" >Finland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FR\" >France<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GF\" >French Guiana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PF\" >French Polynesia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TF\" >French Southern Territories<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GA\" >Gabon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GM\" >Gambia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GE\" >Georgia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DE\" >Germany<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GH\" >Ghana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GI\" >Gibraltar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GR\" >Greece<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GL\" >Greenland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GD\" >Grenada<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GP\" >Guadeloupe<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GU\" >Guam<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GT\" >Guatemala<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GG\" >Guernsey<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GN\" >Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GW\" >Guinea-Bissau<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GY\" >Guyana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HT\" >Haiti<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HM\" >Heard Island &amp; Mcdonald Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VA\" >Holy See (Vatican City State)<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HN\" >Honduras<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HK\" >Hong Kong<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HU\" >Hungary<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IS\" >Iceland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IN\" >India<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ID\" >Indonesia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IR\" >Iran, Islamic Republic Of<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IQ\" >Iraq<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IE\" >Ireland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IM\" >Isle Of Man<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IL\" >Israel<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IT\" >Italy<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JM\" >Jamaica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JP\" >Japan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JE\" >Jersey<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JO\" >Jordan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KZ\" >Kazakhstan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KE\" >Kenya<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KI\" >Kiribati<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KR\" >Korea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KW\" >Kuwait<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KG\" >Kyrgyzstan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LA\" >Lao People&#039;s Democratic Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LV\" >Latvia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LB\" >Lebanon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LS\" >Lesotho<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LR\" >Liberia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LY\" >Libyan Arab Jamahiriya<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LI\" >Liechtenstein<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LT\" >Lithuania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LU\" >Luxembourg<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MO\" >Macao<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MK\" >Macedonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MG\" >Madagascar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MW\" >Malawi<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MY\" >Malaysia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MV\" >Maldives<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ML\" >Mali<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MT\" >Malta<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MH\" >Marshall Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MQ\" >Martinique<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MR\" >Mauritania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MU\" >Mauritius<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"YT\" >Mayotte<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MX\" >Mexico<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FM\" >Micronesia, Federated States Of<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MD\" >Moldova<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MC\" >Monaco<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MN\" >Mongolia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ME\" >Montenegro<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MS\" >Montserrat<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MA\" >Morocco<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MZ\" >Mozambique<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MM\" >Myanmar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NA\" >Namibia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NR\" >Nauru<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NP\" >Nepal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NL\" >Netherlands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AN\" >Netherlands Antilles<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NC\" >New Caledonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NZ\" >New Zealand<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NI\" >Nicaragua<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NE\" >Niger<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NG\" >Nigeria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NU\" >Niue<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NF\" >Norfolk Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MP\" >Northern Mariana Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NO\" >Norway<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"OM\" >Oman<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PK\" >Pakistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PW\" >Palau<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PS\" >Palestinian Territory, Occupied<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PA\" >Panama<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PG\" >Papua New Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PY\" >Paraguay<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PE\" >Peru<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PH\" >Philippines<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PN\" >Pitcairn<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PL\" >Poland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PT\" >Portugal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PR\" >Puerto Rico<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"QA\" >Qatar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RE\" >Reunion<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RO\" >Romania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RU\" >Russian Federation<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RW\" >Rwanda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BL\" >Saint Barthelemy<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SH\" >Saint Helena<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KN\" >Saint Kitts And Nevis<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LC\" >Saint Lucia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MF\" >Saint Martin<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PM\" >Saint Pierre And Miquelon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VC\" >Saint Vincent And Grenadines<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"WS\" >Samoa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SM\" >San Marino<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ST\" >Sao Tome And Principe<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SA\" >Saudi Arabia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SN\" >Senegal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RS\" >Serbia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SC\" >Seychelles<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SL\" >Sierra Leone<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SG\" >Singapore<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SK\" >Slovakia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SI\" >Slovenia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SB\" >Solomon Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SO\" >Somalia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ZA\" >South Africa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GS\" >South Georgia And Sandwich Isl.<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ES\" >Spain<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LK\" >Sri Lanka<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SD\" >Sudan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SR\" >Suriname<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SJ\" >Svalbard And Jan Mayen<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SZ\" >Swaziland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SE\" >Sweden<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CH\" >Switzerland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SY\" >Syrian Arab Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TW\" >Taiwan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TJ\" >Tajikistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TZ\" >Tanzania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TH\" >Thailand<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TL\" >Timor-Leste<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TG\" >Togo<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TK\" >Tokelau<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TO\" >Tonga<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TT\" >Trinidad And Tobago<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TN\" >Tunisia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TR\" >Turkey<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TM\" >Turkmenistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TC\" >Turks And Caicos Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TV\" >Tuvalu<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"UG\" >Uganda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"UA\" >Ukraine<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AE\" >United Arab Emirates<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GB\" >United Kingdom<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"US\" >United States<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"UM\" >United States Outlying Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"UY\" >Uruguay<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"UZ\" >Uzbekistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VU\" >Vanuatu<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VE\" >Venezuela<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VN\" >Viet Nam<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VG\" >Virgin Islands, British<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VI\" >Virgin Islands, U.S.<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"WF\" >Wallis And Futuna<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EH\" >Western Sahara<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"YE\" >Yemen<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ZM\" >Zambia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ZW\" >Zimbabwe<\/option>\n\t\t\t\t\t\t\t\t\t<\/select>\n\n\t\t\t\t<div class=\"invalid-feedback-frm\" role=\"alert\">Country is not valid.<\/div>\n\t\t\t<\/div>\n\n\t\t<\/div>\n\n\t\t<script type=\"text\/javascript\">\n            jQuery(document).ready(function($) {\n                $('.mf_form__form').each(function() {\n                    var $form = $(this); \/\/ This specific form instance\n\n                    \/\/ Find the country select in this form\n                    $form.find('.form_country_select').each(function() {\n                        var $select = $(this);\n\t\t\t\t\t\tvar clickCount = 0;\n                        \/\/ On change\n                        $select.on('click', function() {\n\t\t\t\t\t\t\tclickCount++;\n\t\t\t\t\t\t\tif (clickCount === 1) {\n\t\t\t\t\t\t\t\t$(this).parent().find('.icon-zodiak-chevron-down').addClass('active');\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tclickCount = 0;\n\t\t\t\t\t\t\t\t$(this).parent().find('.icon-zodiak-chevron-down').removeClass('active');\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t\t$select.on('blur', function() {\n\t\t\t\t\t\t\tclickCount = 0;\n\t\t\t\t\t\t\t$(this).parent().find('.icon-zodiak-chevron-down').removeClass('active');\n\t\t\t\t\t\t});\n                    });\n                });\n            });\n        <\/script>\n\n\t\t<div class=\"mf-field-wrapper form-floating col-sm-12\"><textarea type=\"text\" class=\"form-control\" id=\"_mf_1003795_8295_2970483735\" name=\"_mf_1003795_8295\" placeholder=\"Message\" required><\/textarea><label for=\"_mf_1003795_8295_2970483735\" class=\"form-label\">Message <span class=\"star-required\">*<\/span><\/label><div class=\"invalid-feedback-frm\" role=\"alert\">Message is not valid.<\/div><\/div>\t\t\t<div class=\"mf_field mf_field--hidden \">\n\t\t\t\t<label for=\"_mf_1003795_3685_1569194855\">Page URL\t\t\t\t\t<\/label>\n\t\t\t\t<input\n\t\t\t\t\ttype=\"hidden\"\n\t\t\t\t\tid=\"_mf_1003795_3685_1569194855\"\n\t\t\t\t\tclass=\"mf_field__input empty\"\n\t\t\t\t\tname=\"_mf_1003795_3685\"\n\t\t\t\t\tdata-validate=\"text\"\n\t\t\t\t\tvalue=\"https:\/\/www.capgemini.com\/in-en\/insights\/expert-perspectives\/from-words-to-watts-how-prompting-patterns-shape-ais-environmental-impact\/\"\n\t\t\t\t\t\t\t\t\t\/>\n\t\t\t<\/div>\n\t\t\t\t\t<div class=\"mf_field mf_field--hidden \">\n\t\t\t\t<label for=\"_mf_1003886_1365_3744271660\">Expert title\t\t\t\t\t<\/label>\n\t\t\t\t<input type=\"hidden\" id=\"_mf_1003886_1365_3744271660\" class=\"mf_field__input empty\" name=\"_mf_1003886_1365\" data-validate=\"text\" data-hidden-field-tag=\"expert_title\" value=\"\"  \/>\n\t\t\t<\/div>\n\t\t<div class=\"mf-field-wrapper  col-sm-12\">\n\t\t<div class=\"form-check checkbox-controls\">\n\n\t\t\t<input type=\"checkbox\" id=\"_mf_1003795_8122_388292805\" 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For further information, please see our<a href=\"https:\/\/www.capgemini.com\/in-en\/privacy-policy\/\"> Privacy Notice<\/a>.  &nbsp;\t\t\t<\/label>\n\n\t\t<\/div>\n\t\t<\/div>\t\t\t<div class=\"mf_field mf_field--recaptcha\">\n\t\t\t\t<div class=\"g-recaptcha\" data-sitekey=\"6Lc3OpIUAAAAADY4ErEHF0HF6Tr7vuknduDU-fbl\"><\/div>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"mf_field mf_field--submit\" >\n\t\t\t\t<div class=\"slide-button-background button-background\">\n\t\t\t\t\t<label for=\"slider-submit-_mf_1003795_3011\" class=\"slide-text\">\n\t\t\t\t\t\tSlide to submit\t\t\t\t\t<\/label>\n\t\t\t\t\t<input\n\t\t\t\t\t\tid=\"slider-submit-_mf_1003795_3011\"\n\t\t\t\t\t\ttype=\"range\"\n\t\t\t\t\t\tclass=\"mf_field__input slider-frm-btn\"\n\t\t\t\t\t\trel=\"_mf_1003795_3011\"\n\t\t\t\t\t\tmin=\"0\"\n\t\t\t\t\t\tmax=\"100\"\n\t\t\t\t\t\tvalue=\"0\"\n\t\t\t\t\t\taria-label=\"Slide to submit\"\n\t\t\t\t\t\taria-describedby=\"slide-instruction-_mf_1003795_3011\"\n\t\t\t\t\t\taria-valuenow=\"0\"\n\t\t\t\t\t\taria-valuemin=\"0\"\n\t\t\t\t\t\taria-valuemax=\"100\"\n\t\t\t\t\t\taria-orientation=\"horizontal\"\n\t\t\t\t\t\trole=\"slider\"\n\t\t\t\t\t\ttabindex=\"0\"\n\t\t\t\t\t\/>\n\t\t\t\t\t<span id=\"slide-instruction-_mf_1003795_3011\" class=\"sr-only\">\n\t\t\t\t\t\tUse right arrow keys to slide, or drag right with your finger. When you reach 100 percent, the form is submitted.\t\t\t\t\t<\/span>\n\t\t\t\t\t<!-- Mobile-only submit button fallback -->\n\t\t\t\t\t<button type=\"submit\" class=\"mf-mobile-submit-btn\" disabled>\n\t\t\t\t\t\t<span class=\"sr-only\">If you use a screen reader or VoiceOver, double-tap this button to submit the form.<\/span>\n\t\t\t\t\t\tSlide to submit\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t\t<input type=\"hidden\" name=\"submit_btn_txt\" class=\"submit_btn_txt\" value=\"Slide to submit\"\/>\n\t\t\t\t<input type=\"hidden\" name=\"submitted_state_txt\" class=\"submitted_state_txt\" value=\"Submitted\"\/>\n\t\t\t<\/div>\n\t\t\t\t\t\t<input type=\"hidden\" name=\"form_id\" data-validate=\"number\" class=\"mf_form__id\" value=\"1003886\" \/>\n\t\t\t\t<input type=\"hidden\" name=\"form_title\" class=\"mf_form__title\" value=\"generic-expert-forms\" \/>\n\t\t\t\t<input type=\"hidden\" name=\"wp_rest_nonce\" class=\"mf_form__wp_rest_nonce\" value=\"6a7ed1aa1d\" \/>\n\n\t\t\t\t<input type=\"hidden\" name=\"mf_form_conditional_logic\" class=\"mf_form__title conditional_logic\" value=\"\" \/>\n\t\t\t\t\n\t\t\t\t<input type=\"hidden\" name=\"mf_form_fields_country_dpo_field\" class=\"mf_form__title conditional_logic mf_form_fields_country_dpo_field\" value=\"\" \/>\n\n\t\t\t\t<!-- Anti-spam field -->\n\t\t\t\t<input type=\"text\" \n\t\t\t\t\tname=\"website_url\" \n\t\t\t\t\tclass=\"mf_field__url\" \n\t\t\t\t\tautocomplete=\"off\"\n\t\t\t\t\ttabindex=\"-1\"\n\t\t\t\t\taria-hidden=\"true\"\n\t\t\t\t\tstyle=\"position:absolute;left:-9999px;width:1px;height:1px;opacity:0;pointer-events:none;\" \n\t\t\t\t\/>\n\t\t\t<\/form>\n\n\t\t\t<div class=\"mf_form__success\" tabindex=\"0\" role=\"alert\">\n\t\t\t\t<h3 style=\"color: #0070ad\">Thank You! We have received your form submission.<\/h3><\/p>\n\t\t\t<\/div>\n\t\t\t<div class=\"mf_form__errors\">\n\t\t\t\t<p>We are sorry, the form submission failed. Please try again.<\/p>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\n\t\t<script>\n\t\t\twindow.MF_CONFIG1003886 = {\"1003886\":{\"errors\":[],\"redirect\":\"\"}};\n\t\t<\/script>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/in-en\/wp-content\/uploads\/sites\/18\/2026\/01\/Periyasamy.jpg\" alt=\"Periyasamy N\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB90bdde3c_b5e3_4e0f_b628_d1f671fb906e\" data-bs-expert-title=\"1\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/periyasamy-n-b93a91a0\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Periyasamy N<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Sustainable AI Analyst, Sustainability CoE<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB90bdde3c_b5e3_4e0f_b628_d1f671fb906e\" data-bs-expert-title=\"Periyasamy N\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/periyasamy-n-b93a91a0\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Periyasamy N is a sustainability and cloud strategy professional\u2014an engineer at heart and a management consultant by profession. His core focus lies in emissions modeling, Net Zero architecture frameworks, and GenAI energy optimization, driving low-carbon innovation in enterprise IT. He also brings experience across the automobile manufacturing and IT sectors, blending technical expertise with strategic insight to deliver practical, end-to-end solutions for infrastructure optimization and sustainability transformation.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"modal\" id=\"WPB90bdde3c_b5e3_4e0f_b628_d1f671fb906e\">\n\t\t\t\t\t<div class=\"modal-dialog modal-dialog-centered modal-lg modal-dialog-scrollable landing-page-modals\">\n\t\t\t\t\t\t<div class=\"modal-content\">\n\t\t\t\t\t\t\t<div class=\"modal-header\">\n\t\t\t\t\t\t\t\t<button type=\"button\" class=\"btn-close\" aria-label=\"close\" data-bs-dismiss=\"modal\"><\/button>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"modal-body\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h4 class=\"form-title\">Contact us<\/h4>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<div class=\"mf_forms__container \">\n\t\t\t\t\t\t\t\t<form id=\"mf_form_1003886_402121854\" class=\"mf_form__form row needs-validation\" action=\"\" method=\"post\" enctype=\"multipart\/form-data\" data-nosnippet>\n\n\t\t\t\t<div class=\"mf-field-wrapper form-floating col-sm-12\"><input type=\"text\" class=\"form-control\" id=\"_mf_1003795_1599_1564442425\" name=\"_mf_1003795_1599\" placeholder=\"First Name\" required \/><label for=\"_mf_1003795_1599_1564442425\" class=\"form-label\">First Name <span class=\"star-required\">*<\/span><\/label><div class=\"invalid-feedback-frm\" role=\"alert\">First Name is not valid.<\/div><\/div><div class=\"mf-field-wrapper form-floating col-sm-12\"><input type=\"text\" class=\"form-control\" id=\"_mf_1003795_8620_1874218409\" name=\"_mf_1003795_8620\" placeholder=\"Last Name\" required \/><label for=\"_mf_1003795_8620_1874218409\" class=\"form-label\">Last Name <span class=\"star-required\">*<\/span><\/label><div class=\"invalid-feedback-frm\" role=\"alert\">Last Name is not valid.<\/div><\/div><div class=\"mf-field-wrapper form-floating col-sm-12\"><input type=\"email\" class=\"form-control\" id=\"_mf_1003795_4386_1647214325\" name=\"_mf_1003795_4386\" placeholder=\"Email\" required \/><label for=\"_mf_1003795_4386_1647214325\" class=\"form-label\">Email <span class=\"star-required\">*<\/span><\/label><div class=\"invalid-feedback-frm\" role=\"alert\">Email is not valid.<\/div><\/div><div class=\"mf-field-wrapper form-floating col-sm-12\"><input type=\"text\" class=\"form-control\" id=\"_mf_1003795_3223_603711667\" name=\"_mf_1003795_3223\" placeholder=\"Company\" required \/><label for=\"_mf_1003795_3223_603711667\" class=\"form-label\">Company <span class=\"star-required\">*<\/span><\/label><div class=\"invalid-feedback-frm\" role=\"alert\">Company is not valid.<\/div><\/div>\t\t<div class=\"mf_field mf_field--country mf_field--select floating form-country-select-parent mf-required\">\n\n\t\t\t<label for=\"_mf_1003795_5869_2417991212\" class=\"floating__label form-country-select-label\" data-content=\"Country\">\n\t\t\t\t<span class=\"floating-label-content\">Country<\/span>\n\t\t\t<\/label>\n\n\t\t\t<div class=\"select-wrap\">\n<i class=\"icon icon-zodiak-chevron-down\"><\/i>\n\t\t\t\t<select id=\"_mf_1003795_5869_2417991212\" class=\"mf_field__input empty mf-country-selectbox form_country_select\" name=\"_mf_1003795_5869\" data-validate=\"select\" required>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"\"  selected='selected'>Country<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AF\" >Afghanistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AX\" >Aland Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AL\" >Albania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DZ\" >Algeria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AS\" >American Samoa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AD\" >Andorra<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AO\" >Angola<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AI\" >Anguilla<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AQ\" >Antarctica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AG\" >Antigua And Barbuda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AR\" >Argentina<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AM\" >Armenia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AW\" >Aruba<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AU\" >Australia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AT\" >Austria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AZ\" >Azerbaijan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BS\" >Bahamas<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BH\" >Bahrain<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BD\" >Bangladesh<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BB\" >Barbados<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BY\" >Belarus<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BE\" >Belgium<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BZ\" >Belize<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BJ\" >Benin<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BM\" >Bermuda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BT\" >Bhutan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BO\" >Bolivia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BA\" >Bosnia And Herzegovina<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BW\" >Botswana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BV\" >Bouvet Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BR\" >Brazil<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IO\" >British Indian Ocean Territory<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BN\" >Brunei Darussalam<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BG\" >Bulgaria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BF\" >Burkina Faso<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BI\" >Burundi<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KH\" >Cambodia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CM\" >Cameroon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CA\" >Canada<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CV\" >Cape Verde<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KY\" >Cayman Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CF\" >Central African Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TD\" >Chad<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CL\" >Chile<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CN\" >China<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CX\" >Christmas Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CC\" >Cocos (Keeling) Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CO\" >Colombia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KM\" >Comoros<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CG\" >Congo<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CD\" >Congo, Democratic Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CK\" >Cook Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CR\" >Costa Rica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CI\" >Cote D&#039;Ivoire<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HR\" >Croatia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CU\" >Cuba<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CY\" >Cyprus<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CZ\" >Czech Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DK\" >Denmark<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DJ\" >Djibouti<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DM\" >Dominica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DO\" >Dominican Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EC\" >Ecuador<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EG\" >Egypt<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SV\" >El Salvador<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GQ\" >Equatorial Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ER\" >Eritrea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"EE\" >Estonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ET\" >Ethiopia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FK\" >Falkland Islands (Malvinas)<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FO\" >Faroe Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FJ\" >Fiji<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FI\" >Finland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FR\" >France<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GF\" >French Guiana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PF\" >French Polynesia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TF\" >French Southern Territories<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GA\" >Gabon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GM\" >Gambia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GE\" >Georgia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"DE\" >Germany<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GH\" >Ghana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GI\" >Gibraltar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GR\" >Greece<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GL\" >Greenland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GD\" >Grenada<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GP\" >Guadeloupe<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GU\" >Guam<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GT\" >Guatemala<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GG\" >Guernsey<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GN\" >Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GW\" >Guinea-Bissau<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GY\" >Guyana<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HT\" >Haiti<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HM\" >Heard Island &amp; Mcdonald Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VA\" >Holy See (Vatican City State)<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HN\" >Honduras<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HK\" >Hong Kong<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"HU\" >Hungary<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IS\" >Iceland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IN\" >India<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ID\" >Indonesia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IR\" >Iran, Islamic Republic Of<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IQ\" >Iraq<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IE\" >Ireland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IM\" >Isle Of Man<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IL\" >Israel<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"IT\" >Italy<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JM\" >Jamaica<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JP\" >Japan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JE\" >Jersey<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"JO\" >Jordan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KZ\" >Kazakhstan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KE\" >Kenya<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KI\" >Kiribati<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KR\" >Korea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KW\" >Kuwait<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KG\" >Kyrgyzstan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LA\" >Lao People&#039;s Democratic Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LV\" >Latvia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LB\" >Lebanon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LS\" >Lesotho<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LR\" >Liberia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LY\" >Libyan Arab Jamahiriya<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LI\" >Liechtenstein<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LT\" >Lithuania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LU\" >Luxembourg<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MO\" >Macao<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MK\" >Macedonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MG\" >Madagascar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MW\" >Malawi<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MY\" >Malaysia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MV\" >Maldives<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ML\" >Mali<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MT\" >Malta<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MH\" >Marshall Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MQ\" >Martinique<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MR\" >Mauritania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MU\" >Mauritius<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"YT\" >Mayotte<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MX\" >Mexico<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"FM\" >Micronesia, Federated States Of<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MD\" >Moldova<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MC\" >Monaco<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MN\" >Mongolia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ME\" >Montenegro<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MS\" >Montserrat<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MA\" >Morocco<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MZ\" >Mozambique<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MM\" >Myanmar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NA\" >Namibia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NR\" >Nauru<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NP\" >Nepal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NL\" >Netherlands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"AN\" >Netherlands Antilles<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NC\" >New Caledonia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NZ\" >New Zealand<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NI\" >Nicaragua<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NE\" >Niger<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NG\" >Nigeria<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NU\" >Niue<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NF\" >Norfolk Island<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MP\" >Northern Mariana Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"NO\" >Norway<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"OM\" >Oman<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PK\" >Pakistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PW\" >Palau<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PS\" >Palestinian Territory, Occupied<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PA\" >Panama<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PG\" >Papua New Guinea<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PY\" >Paraguay<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PE\" >Peru<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PH\" >Philippines<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PN\" >Pitcairn<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PL\" >Poland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PT\" >Portugal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PR\" >Puerto Rico<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"QA\" >Qatar<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RE\" >Reunion<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RO\" >Romania<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RU\" >Russian Federation<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RW\" >Rwanda<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"BL\" >Saint Barthelemy<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SH\" >Saint Helena<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"KN\" >Saint Kitts And Nevis<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LC\" >Saint Lucia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"MF\" >Saint Martin<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"PM\" >Saint Pierre And Miquelon<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"VC\" >Saint Vincent And Grenadines<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"WS\" >Samoa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SM\" >San Marino<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ST\" >Sao Tome And Principe<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SA\" >Saudi Arabia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SN\" >Senegal<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"RS\" >Serbia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SC\" >Seychelles<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SL\" >Sierra Leone<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SG\" >Singapore<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SK\" >Slovakia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SI\" >Slovenia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SB\" >Solomon Islands<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SO\" >Somalia<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ZA\" >South Africa<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"GS\" >South Georgia And Sandwich Isl.<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"ES\" >Spain<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"LK\" >Sri Lanka<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SD\" >Sudan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SR\" >Suriname<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SJ\" >Svalbard And Jan Mayen<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SZ\" >Swaziland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SE\" >Sweden<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"CH\" >Switzerland<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"SY\" >Syrian Arab Republic<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TW\" >Taiwan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option value=\"TJ\" >Tajikistan<\/option>\n\t\t\t\t\t\t\t\t\t\t\t<option 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