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

Net AI是由KADlytics Limited开发的一项新颖的专有技术。Net AI可以自动创建一个连接数字资产、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作工程项目，例如建筑，机械和软件工程。工程项目具有丰富的依赖关系，无论是显式的还是隐式的，了解依赖关系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？让步的代价？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造成代价高昂的失败和超支的常见原因。迄今为止，项目依赖性的管理和后续分析一直是通过调查和与项目成员的访谈进行的。捕获这些信息所花费的时间导致网络立即过时。Net AI通过实时生成和更新这些网络来打破这种做法，并且比目前可能的更详细。随着项目的发展，Net AI也会做出预测和建议（例如，当有人离开时确定工作分配，在公司内分配工作和知识，以及评估变化的传播）. Net AI是一种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）"真实的"依赖关系的覆盖率，以及ii）随着项目的发展，在依赖关系的识别中的置信度。我们的初始客户需要这种理解和证据，以形成他们的内部业务案例。同样，我们需要这些证据来管理期望并量化Net AI的能力，从而获得好处，例如在项目的第一季度内自动建立50%的关键依赖关系。这种缺乏证据的情况目前正在阻碍我们客户的投资决定。由于Net AI是一种独特的AI技术，因此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，专门用于测量和优化Net AI在上述i和ii方面的性能。当这些技术建立起来，Net AI的有效性在跨行业中得到证明时，它将有助于实现潜在的巨大成本节省高价值的设计项目在英国和世界各地。

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 The time it takes to capture this information results in networks that are immediately out-of-date.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.