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

中小企业营销人员依赖于人工，耗时，昂贵，风险和极其低效的过程，包括基础研究，广泛估计和推销。中小企业营销人员必须复制他们的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，复合年增长率将增长8%，达到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/经验来管理和按时、按预算成功完成这个项目。然而，DART的创新和雄心使得该项目在技术和商业上都存在风险。DART将使GI能够开发新的收入来源，并有可能获得可观的投资回报。积极的经济影响、增长和扩大规模。DART已经过精心规划，以最大限度地创新，商业潜力，英国范围内的影响和英国的物有所值。DART为英国提供了显著的投资回报率。

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.