News
ai Improves customer decision-making with SmartIntelligence™
February 2017 by Marc Jacob
SmartIntelligence™ enables The ai Corporation’s (ai) customers to make proactive decisions by identifying key trends within their data. Customers can then make prioritised business decisions and maximise value from their investment. It is a unique Management Opportunity (MO) tool.
The powerful rules engine technology means that alerts can be triggered around specific events, pushing business critical information to business managers. SmartIntelligence™ is much more than just business information, it pinpoints business and/or management opportunities.
ai’s predictive neural modelling/machine-learning tools also provide “a-state-of-the-art” forecasting capability. These predictive models exploit patterns found in historical and transactional data to identify risks and opportunities, and give the capability to carry out key value elasticity modelling across a business.
Seeing the wood for the trees is imperative, therefore ai has developed the following framework:
1. Data Centralisation – To help aggregate the data sources. It is important to note that the fraud system, typically, is one of the best sources of data in an organization and can be easily augmented from other corporate data sources.
2. Reactive Play Back - To expose critical information and KPIs required by your organization e.g. underperforming sales team.
3. Proactive - To proactively alert management teams to opportunities. By using ai’s highly sophisticated rules engine technologies, specific rules can be set up to trigger specific events – both good and bad.
4. Predictive - To enrich the data using other external sources such as Social Media, demographic information and telematics. By supplementing current data sources with these pools of information, ai’s neural technology can be deployed to provide business forecasts across the business.
