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Machine Learning and AI for Finance: Making the case for change in how your finance organization operates
As finance and accounting teams prepare for the future, there is a growing need for new and innovative ways to meet the demand for more advanced analytics, automation, and cost reduction. This 60-minute webinar will highlight compelling use cases for adding machine learning and artificial intelligence capabilities to the finance function. Examples include:

- Dynamic Forecasts: How to dynamically update forecasts and/or financial results in order to identify anomalies in your data for follow up
- Liquidity Management: How to predict time of cash receipts utilizing machine learning
- Exception Reporting: How to analyze expense accounts

This session will also highlight some of the key transactional processing scenarios where SAP has already created Machine Learning models for finance including Intercompany Reconciliation, Accounts receivable matching/ clearing and more.

Apr 28, 2021 02:00 PM in Eastern Time (US and Canada)

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Daniel Settanni
Senior Principal @TruQua, an IBM Company
Daniel is focused on using innovative technology to break new ground in Enterprise software. Making advanced technology more accessible through thoughtful design has been Daniel’s passion for years. He’s currently focused on Florence by TruQua, an innovative Machine Learning solution that delivers Interactive and Explainable AI in a fraction of the time, and cost, of any other product on the market.
JS Irick
Associate Partner @TruQua, an IBM Company
JS Irick has the best job in the world; working with a talented team to solve the toughest business challenges. JS is an internationally recognized speaker on the topics of Machine Learning, SAP Planning, SAP S/4HANA and Software development. As an Associate Partner TruQua, JS has built best practices for SAP implementations in the areas of SAP HANA, SAP S/4HANA reporting, and SAP S/4HANA customization.