Low Carbon Impact AI-Enabled Net Zero Advisory Solution

低碳影响人工智能支持的净零咨询解决方案

• 批准号: 10112272
• 金额: --
• 依托单位: LOW CARBON IMPACT LIMITED
• 依托单位国家: 英国
• 项目类别: SME Support
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10112272
• 关键词: Low; Carbon; Impact; AI; Enabled

**This project is focused on developing a proprietary AI model to be tested as part of the Low Carbon Impact (LCI) unique net zero advisory service for Mid-Market Enterprises (MMEs).**LCI will directly address a significant new problem facing MMEs in the mobility/product manufacture/built environment sectors (we define MMEs as having annual revenues of ~£25m-£400m/200-2000 employees).This market pressure is material. These enterprises are subject to significant new net zero regulation in Europe/UK/North America/AsiaPacific. Regulation requires MMEs to both report greenhouse gas (GHG) emissions and execute a coherent/compelling plan to reduce these emissions.Regulation is also creating stress in their supply chains, as customers pass the same pressures onto their suppliers. Also, with banks/insurance companies accountable for their financed/insured emissions, they are placing a premium on enterprises that cannot demonstrate a coherent/compelling GHG reduction plan.MMEs have no immediate answer. Due to their limited scale, they lack internal skills to address these challenges. They also cannot access the required depth of external advice. Traditional consultancies are not geared to meet this need.LCI has defined a genuinely innovative response. It combines the potential of generative AI with a network of highly experienced net zero practitioners.The model will be trained on publicly available and proprietary data sets across a full range of domains. The domains include, but are not restricted to, energy sources/vectors/assets, transport/mobility solutions, buildings, and production facilities.The AI model will act as a significantly enhanced net zero decision-making tool. It will enable LCI, with and through its advisors, to deliver a suite of advisory services to commercial, industrial and public organisations.The LCI proposition is demonstrably scalable. It will incorporate local/international data and build out its data sets to enable it to efficiently deploy across sectors/geographies. In addition, the business model is flexible.LCI will accelerate the delivery of net zero for MMEs, which account for ~30% of GHG emissions.In terms of the UK economy, LCI addresses 3 important UK economic and societal priorities - leadership in generative AI, accelerating attainment of net zero, and increasing workforce productivity.**The project's AI-model output will be at the heart of LCI's minimum viable product (MVP) test in 2024\.**

**该项目的重点是开发一个专有的人工智能模型，作为面向中端市场企业 (MME) 的低碳影响 (LCI) 独特的净零咨询服务的一部分进行测试。**LCI 将直接解决面临的一个重大新问题移动/产品制造/建筑环境领域的 MME（我们将 MME 定义为年收入约为 2500 万英镑至 4 亿英镑/200-2000 名员工）。这种市场压力很大，这些企业受到新的重大净零监管。在欧洲/英国/北美/亚太地区，法规要求 MME 报告温室气体 (GHG) 排放量，并执行一致/引人注目的计划来减少这些排放。法规也在其供应链中造成压力，因为客户也承受着同样的压力。此外，由于银行/保险公司对其融资/保险排放负责，他们对无法展示连贯/令人信服的温室气体减排计划的企业给予了溢价。由于其有限，MME 没有立即答复。由于规模庞大，他们缺乏应对这些挑战的内部技能，也无法获得所需深度的外部建议。LCI 定义了真正创新的应对措施，它将生成式人工智能的潜力与网络相结合。该模型将在各个领域的公开可用和专有数据集上进行培训，这些领域包括但不限于能源/矢量/资产、运输/移动解决方案、建筑、和生产设施。人工智能模型将充当一个显着增强的净零决策工具，将使 LCI 能够与其顾问一起向商业、工业和公共组织提供一套咨询服务。LCI 的主张具有明显的可扩展性，它将纳入本地/国际数据。并构建其数据集，使其能够跨部门/地区高效部署。此外，业务模式灵活。LCI 将加速 MME 的净零排放，这些企业占温室气体排放量的 30% 左右。这英国经济，LCI 致力于解决英国 3 个重要的经济和社会优先事项 - 生成式 AI 领域的领导地位、加速实现净零排放以及提高劳动力生产力。**该项目的 AI 模型输出将成为 LCI 最小可行产品 (MVP) 的核心2024 年测试\.**