Measurement and optimisation of the performance of probabilistic networks generated by Net AI

Net AI 生成的概率网络性能的测量和优化

• 批准号: 105578
• 金额: $ 6.48万
• 依托单位: KADLYTICS LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=105578
• 关键词: Measurement; optimisation; performance; probabilistic; networks

Net AI is a novel proprietary technology developed by KADlytics Limited. Net AI can automatically create a network of intra-project dependencies linking digital assets, knowledge and personnel. Net AI's primary market is high-value collaborative engineering projects, such as those in construction, mechanical and software engineering. Engineering projects feature a wealth of dependencies, both explicit and implicit, and understanding the network of dependencies is extremely valuable to Project Managers who need to consider factors such as: Who is responsible for what? Who has knowledge of what? The impact of change? The cost of concessions? It is a lack of understanding of these aspects of high value projects that academic and industrial literature have found to be the common causes for costly failures and overruns.To this day, the management and subsequent analysis of project dependencies has been manual using surveys and interviews with project members. The time it takes to capture this information results in networks that are immediately out-of-date. Net AI disrupts this practice by generating and updating these networks in real-time and to a higher-level of detail than currently possible. Net AI also makes predictions and recommendations as a project evolves (e.g. determining work allocation when someone leaves, distributing work and knowledge across the company, and evaluating the propagation of change).Net AI is an emerging state-of-the-art technology and poses a particular challenge in terms of evidencing its performance in terms of: i) coverage of 'real' dependencies and ii) confidence levels in the identification of dependencies as a project evolves. Our initial customers require this understanding and evidence in order to form their internal business case. Similarly, we require this evidence to manage expectations and to quantify the capability of Net AI and hence benefits e.g. 50% of critical dependencies automatically established within the first quarter of a project. This lack of evidence is currently withholding investment decisions by our customers. Since Net AI is a unique AI technology there are no existing off-the-shelf techniques or approaches that can be applied and hence this project endeavours to develop them specifically to measure and optimise the performance of Net AI with respect to i & ii above.When these techniques are established and effectiveness of Net AI demonstrated cross-industry, it will assist with realisation of potentially huge cost savings for high-value design projects in the UK and world wide.

Net AI是KADlytics有限公司开发的一项新的专有技术。Net AI可以自动创建链接数字资产、知识和人员的项目内依赖关系网络。Net AI的主要市场是高价值的协同工程项目，如建筑、机械和软件工程领域的项目。工程项目具有丰富的依赖关系，既有显式的，也有隐式的，了解依赖关系的网络对于需要考虑以下因素的项目经理来说非常有价值：谁负责什么？谁知道什么？变化的影响是什么？让步的代价是什么？学术和工业文献发现，对高价值项目的这些方面缺乏了解是导致代价高昂的失败和超支的常见原因。到目前为止，项目相关性的管理和随后的分析一直是通过调查和与项目成员的访谈来手动进行的。捕获此信息所需的时间会导致网络立即过时。NET AI通过实时生成和更新这些网络，并达到比目前可能的更高级别的详细程度，从而打破了这一做法。Net AI还随着项目的发展做出预测和建议(例如，确定某人离开时的工作分配，在公司内分配工作和知识，以及评估变化的传播)。Net AI是一项新兴的最先进的技术，在证明其性能方面提出了特别的挑战：i)覆盖“真正的”依赖项，ii)随着项目的发展确定依赖项的置信度。我们的初始客户需要这样的理解和证据，才能形成他们的内部业务案例。同样，我们需要此证据来管理预期并量化净人工智能的能力，从而获得好处，例如在项目第一季度内自动建立的关键依赖项的50%。这种证据的缺乏目前阻碍了我们客户的投资决策。由于网络人工智能是一种独特的人工智能技术，目前还没有现成的技术或方法可以应用，因此本项目致力于开发它们，专门测量和优化网络人工智能在上述I和II方面的性能。当这些技术被建立并且网络人工智能的有效性被证明跨行业时，它将有助于实现英国和世界范围内高价值设计项目的潜在巨大成本节约。