WikiKore: a world-first, online, open-content, AI-powered encyclopaedia of product taxonomy for the global financial markets

自2008年金融危机以来，产品治理一直被认为是金融服务部门的薄弱环节，是一个需要完全重新定义的领域。尽管在法规和流程方面取得了令人生畏的进展，但数字端到端产品治理仍处于初级阶段。许多金融科技公司已经解决了产品治理的专门方面，但金融机构仍然严重依赖手动流程来提供其产品生命周期的360视图。通过我们率先投放市场的基于人工智能的金融服务产品治理SaaS解决方案，我们正在彻底解决产品治理问题。我们没有将产品治理流程数字化；我们将良好实践和基于人工智能的工具嵌入整个数字环境，以进行产品生命周期管理，因此稳健的治理成为不可避免的副产品。至关重要的是，我们建立了企业记忆，只需按一下按钮即可检索产品事件和历史信息，并以统一的格式存储。**我们相信数字化转型并不困难。**我们的解决方案完全可配置和模块化，每个模块都是独立的，可以随着时间的推移添加，因此实施可以错开。使用KORE不需要大爆炸式的数据迁移，也不需要更新现有数据源。我们不需要繁重的系统集成即可运行。我们的数字层收集信息并提供洞察力，同时位于遗留系统之上。我们拥有与现有应用程序和服务以及与外部系统和数据提供商集成的灵活性。**我们处理产品数据的方法是独一无二的。**我们认为金融产品不是一组技术特征，而是一系列事件、流程、决策、人们的行动以及最重要的客户需求的结果。我们通过我们的开放内容、人工智能支持的在线百科全书WikiKore，在整个产品生命周期中收集和分析所有这些类别的数据。市场上没有其他公司收集如此动态和丰富的产品数据集，目的是从内部改善行业。**我们使用最新的人工智能应用程序来支持我们的应用程序。**Kore开发专有的人工智能算法，并与研究机构和技术公司建立合作伙伴关系，专门设计以推动无缝用户交互、全新的洞察力和预测性分析，目的是改善金融服务业的产品治理。

Since the financial crisis in 2008, product governance has been identified as the weak link in the financial services sector and as an area that needs to be completely redefined.Despite formidable progress in terms of regulations and processes, digital end-to-end product governance is still in its infancy. Many financial technology companies have addressed specialised aspects of product governance, but financial institutions still rely heavily on manual processes to provide a 360-view of the lifecycle of their products.With our first-to-market AI-powered SaaS solution for product governance in financial services, we are turning the issue of product governance on its head. We do not digitise product governance processes; we embed good practices and AI-based tools throughout a digital environment for product lifecycle management so that robust governance becomes an inevitable by-product. Crucially, we build corporate memory, with product events and historical information retrievable at the touch of a button and stored in a uniform format.**We believe that digital transformation does not need to be difficult.** Our solution is fully configurable and modular, each module is self-standing and can be added over time, therefore implementation can be staggered. No big-bang data migration is required to use Kore and there is no need to update existing data sources. We do not require heavy system integrations to function. Our digital layer collects information and provides insight whilst sitting above legacy systems. We have the flexibility to integrate with existing applications and services, and with external systems and data providers.**Our approach to product data is unique.** We consider financial products not as a set of technical features, but as the result of a broad set of events, processes, decisions, people's actions and, most importantly, client needs. We collect and analyse data around all these categories throughout the entire product lifecycle with our open content, AI-powered online encyclopaedia, WikiKore. No other company in the market collects such a dynamic and rich set of product data with the purpose of improving the industry from within.**We use the latest applications of AI to power our application.** Kore develops proprietary AI algorithms, as well as establishing partnerships with research organisation and technology companies, specifically designed to drive seamless user interactions, brand-new insight and predictive analysis with the purpose of improving product governance for the financial service industry.