Oracle EPM Cloud-This week, at Oracle Modern Business Experience conference in Las Vegas, Oracle announced several updates to the Oracle SaaS suite that further integrate finance, HR, and the supply chain. Yesterday, Oracle announced they have extended the artificial intelligence (AI) capabilities within Oracle ERP Cloud and Oracle Enterprise Performance Management (EPM) Cloud. The latest machine learning-based innovations include an expense reporting assistant, project management digital assistant, advanced financial controls and project-driven supply chain management.
“Oracle continues to deliver on the finance innovation promise expected by our customers,” said Rondy Ng, senior vice president, Oracle Applications Development. “Our pervasive AI strategy delivered via continuous product updates ensures rapid adoption with immediate business results. This allows finance and operations teams to stay ahead of the technology curve and retain a competitive advantage.”
The latest machine learning-based innovations enable finance and operations teams to spend more time on strategic initiatives that grow the business by increasing efficiency, accuracy and compliance across business processes. New innovations include:
- Expense Reporting Assistant: Streamlines expense report processing by automatically creating, classifying and matching expense items. Users can interact with the assistant through a powerful voice interface, or simply by sending receipt images to the assistant via email, SMS, Slack or Microsoft Teams. The assistant uses machine learning to improve the automatic classification of expense items, monitor policy violations and reduce audit risks.
- Project Management Digital Assistant: Provides instant project status updates and enables users to update time and task progress using a digital assistant. The digital assistant learns from your past time entries, project planning data, and the overall context to tailor interactions and smartly capture critical project information.
- Advanced Financial Controls: Provides continuous analysis of transactions, setups, and configurations to automate audits and help prevent financial leakage. The solution uses self-learning algorithms to examine critical configuration changes and transactions against a library of proven rules leveraging built-in algorithms for fuzzy matching, anomaly detection, Benford analysis, clustering etc. This approach uses data science techniques to allow incidents to be directed to analysts for tracking, investigation and closure.
- Advanced Access Controls: Automates user security analysis using AI techniques to help protect business data from insider threats and fraud. The solution uses graph-based analysis to accurately and reliably assess violations hidden inside complex, recursive and dynamic security configurations. This technique includes a robust library of configurable, best practice data privacy and SOD rules that can continuously monitor users, roles, privileges, setups and transactions.
- Intelligent Supplier Management: Oracle DataFox integration enriches supplier profiles with AI-sourced and validated company data to power supplier scoring and categorization. It uses AI techniques to extract dynamic supplier risk signals from news articles and press releases, which are then combined with DataFox’s company data sources to automatically manage supplier risk, by identifying which suppliers are at risk and recommending alternative suppliers.