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地见面。然而，当关注MCDC时，在面对面期间观察到的上下文信号（面部表情、肢体动作、语气）通常不存在。这个问题的风险次优通信和稀释的B2B和B2C服务关系，如经理/下属.最终，由于在重大事故发生前忽视或无法观察到关键信号，可能会导致服务关系受损。生产力、士气和客户满意度都可能受到影响。例如，使用电子邮件的经理无法察觉身体行为的变化，这意味着即将发生的疾病或与纪律有关的事件-并且无力主动预防它。没有软件产品可以解决这个问题。我们相信IT将开发创新的基于云的软件原型，提供智能反馈，大大提高MCDC的功效。Illuminate Proactive Inference Engine（I-PIE）是一个全新的软件流程，没有先例。它将：1.将联合收割机公司特定的MCDC来源合并为一个单一的、整体的和相互关联的信息摘要（The Combiner）2.提供一个自动化的软件代理，运行定制的算法来长时间搜索The Combiner--探测MCDC来源之间的关系，并在情感语言或沟通模式的显著变化上精确定位线索（Rover）3。分析来自Rover的推论，诊断服务关系的“健康状况”-如果观察到恶化或改善，则主动提供反馈（Extractor）。I-PIE具有行业范围和全球应用潜力-在任何重视客户/制造商关系并需要高水平护理的地方。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.