DART (Data-driven Ai for Real-time b2b Targeting)

DART（用于实时 B2B 定位的数据驱动人工智能）

• 批准号: 10034864
• 金额: $ 44.52万
• 依托单位: PELUCID LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10034864
• 关键词: DART; Data; driven; Ai; Real

SME marketers rely on manual time-consuming, expensive, risky and extremely inefficient processes including basic research, broad estimations and cold-calling. SME marketers must replicate the multi-channel, tailored ABM tactics of their Enterprise marketing colleagues, which rely on making content highly-relevant to the audience. In 2021, B2B digital advertising was a £138.8Bn global opportunity, growing 8% CAGR to £257Bn by 2029\.DART will develop disruptive innovations using AI and ML to support SMEs and marketers. DART will conduct Industrial Research to prove the platform's concept. GI's team have the necessary skills/experience to manage and complete this project successfully on-time and on-budget. However, DART's innovation and ambition makes the project technically and commercially risky.DART will allow GI to develop a new source of revenue with potential for significant return on investment. Positive economic impact, growth and scale-up. DART has been carefully planned for maximum innovation, commercial potential, UK-wide impacts and UK value-for-money. DART provides significant RoI to the UK.

中小企业营销人员依赖人工耗时、昂贵、风险高且效率极低的流程，包括基础研究、广泛估计和冷电话。中小企业营销人员必须复制其企业营销同事的多渠道、量身定制的ABM策略，这些策略依赖于使内容与受众高度相关。2021年，B2B数字广告是一个价值1388亿英镑的全球机会，到2029年将以8%的复合年增长率增长至2570亿英镑。DART将利用人工智能和机器学习开发颠覆性创新，以支持中小企业和营销人员。DART将进行工业研究，以证明该平台的概念。GI的团队有必要的技能/经验来管理和完成这个项目成功的时间和预算。然而，DART的创新和雄心使该项目在技术和商业上都有风险。DART将使GI开发一个新的收入来源，并有可能获得可观的投资回报。积极的经济影响、增长和规模扩大。DART经过精心规划，以实现最大的创新，商业潜力，英国范围的影响和英国的物有所值。DART为英国提供了重要的投资回报率。