Intelligent Applications explained
Intelligent applications help business leaders and process owners make decisions using AI built into supply chain management (SCM), human capital management (HCM), enterprise resource planning (ERP), and other traditional enterprise applications. This AI uses mathematical algorithms rather than a rule-based approach to analysis. This allows you to learn over time.
Intelligent applications often help you tap on data from third-party sources to make more informed decisions in real time. For example, using third-party weather data, intelligent SCM applications with embedded AI can recommend transport providers that are not affected by critical weather events, allowing logistics managers to make better decisions in just a fraction of the time.
Intelligent applications can also help you follow up on decisions made by business users. In the above supply chain example, the embedded generation AI of the application can be saved by simply clicking a button, logistics manager generates RFPs, sends them electronically to selected transport providers, identifying the appropriate set of providers, generating RFPs, and creating emails.
Companies use AI in an increasing number. In a 2024 McKinsey survey, 72% of respondents said that their organizations had somehow adopted AI compared to about 50% before, indicating that the use of the technology has become a table interest.
