Illuminate Proactive Inference Engine (I-PIE)

物理上分散的组织通常采用多渠道数字通信(MCDC)策略，例如电子邮件、社交网络、Skype--因为员工和客户无法定期面对面。然而，当关注MCDC时，在面对面观察到的上下文信号(面部表情、身体姿势、语气)通常都不存在。这一问题存在沟通不佳的风险，并稀释了B2B和B2C服务关系，例如经理/下属。最终，服务关系可能会因疏忽或无法在重大事件发生前观察到关键信号而受损。生产率、士气和客户满意度可能成为牺牲品。例如，使用电子邮件的经理无法观察到预示即将到来的疾病或纪律相关事件的身体行为变化，也无法主动预防。目前还没有解决这个问题的软件产品。我们相信，IT部门将制作出创新的、基于云的软件原型，提供智能反馈，从而极大地提高MCDC的效率。启发式主动推理引擎(I-PIE)是一个全新的软件过程，没有先例。它将：1.将公司特定的MCDC来源组合成一个单一的、全面的和相互关联的信息摘要(组合器)2.提供一个自动化的软件代理，运行定制的算法在很长一段时间内搜索组合器-探查MCDC来源之间的关系，并准确地找到情感语言或沟通模式显著变化的线索(Rover)3.分析来自Rover的推论，诊断服务关系的“健康”--如果观察到恶化或改善，则主动提供反馈(Extractor)。I.-Pie具有行业和全球应用潜力--在客户/供应商关系受到重视并需要高度关注的任何地方。在英国，i-Pie将使健康、人力资源、客户服务或任何类型的账户管理等部门受益。

Physically dispersed organisations often adopt multi-channel, digital communication (MCDC)strategies e.g. email, social networking, skype – because workers and customers cannot meetface to face regularly.However, contextual signals, observed during face to face (facial expression, physicalgestures, tone of voice) are generally absent when a focus on MCDC occurs. This problemrisks sub-optimal communication and the dilution of B2B and B2C service relationships e.g.manager/subordinate. Ultimately, damaged service relationships may arise through neglect orinability to observe critical signals prior to a major incident. Productivity, morale andcustomer satisfaction are likely casualties. For instance, a manager using email cannot observephysical behaviour changes signifying an impending sickness or disciplinary-related event –and is powerless to pro-actively prevent it.No software product exists to address this problem.We Believe IT will prototype innovative, cloud-based software that provides intelligentfeedback, vastly improving the efficacy of MCDC. The Illuminate Proactive Inference Engine(I-PIE) is a completely new software process without precedent. It will:1. Combine company-specific MCDC sources into a single, holistic and interrelatedinformation summary (The Combiner)2. Deliver an automated software agent, running bespoke algorithms to scour The Combinerover long periods - probing for relationships between MCDC sources and pinpointing clues onnoteworthy shifts in emotional language or communication patterns (Rover)3. Analyse inferences from Rover, diagnosing the 'health' of a service relationship - proactivelygiving feedback if a deterioration or improvement is observed (Extractor).I-PIE has industry wide and global application potential – anywhere that customer/supplierrelationships are valued and require high levels of care. In UK, I-PIE would benefit sectorssuch as Health, HR, Customer Services or account management of any kind.