Traditional data conversion during ERP implementations involves manual tasks like data export, mapping, cleansing, transformation, and loading, which are time-consuming and error-prone. AI introduces opportunities for human-AI collaboration, automating repetitive tasks such as mapping source columns to target fields, applying natural language instructions for cleansing, and aligning category values with lookup lists. Integrating human expertise with AI enhances efficiency and accuracy, reducing strain on data teams. With 57% of data teams at capacity, AI-driven solutions are crucial. A unified, AI-powered platform connecting diverse data sources offers a scalable, repeatable approach to data conversion. We explore how human-AI collaboration in streamlines data conversion, reducing costs.
Learning Objectives:
- AI-Driven Financial Forecasting: Learn how Oracle's AI tools enhance financial forecasting and budgeting, moving beyond traditional spreadsheet models.
- Real-World Use Cases for Cost Optimization: Discover how businesses, particularly in manufacturing, use Oracle AI to streamline budgeting, reduce errors, and optimize costs.
- Improving Accuracy and Collaboration: Understand how AI minimizes manual effort, improves forecast accuracy, and promotes cross-functional collaboration in financial decision-making.
Educational Tracks:
#CloudCX
#CloudEPM
#CloudERP
Presenters:
Aswanth Vaidiswaran, Finance Lead, DocuSign
Manjari Gupta, Senior Manager, SplashBI
Soumit Roy, Director, Enterprise Cloud Application, Jade Global