Data Preparation for AI in Finance: Strategies for Success
While AI has become a common feature in software solutions, its application within the finance function lags other business areas. AI can streamline repetitive corporate finance processes, and generative AI tools can empower finance teams to identify trends, conduct real-time forecasting, and analyze pricing and budgeting with precision. However, implementing and maintaining necessary data controls and safeguards is critical.
This session will dive into essential strategies that businesses must adopt to prepare their data for AI utilization within the finance function, leveraging AI/ML capabilities of Power BI and Azure SQL Server. From data cleansing and normalization to establishing robust data governance frameworks, we will discuss the key steps required to ensure that AI applications in finance are effective and reliable.
Learning Objectives:
- Learn strategies to prepare and optimize data for AI utilization within the finance function.
- Utilizing AI/ML within Power BI and Azure SQL Server.
- Discuss the importance of implementing appropriate guardrails and data governance strategies to ensure the reliability and security of AI applications in finance.
Speaker: Jason Carter
Type: Fast Chat
Primary Product: Power Platform
Track: Artificial Intelligence (AI), Data, Finance
Session Objective for Attendee: Migrating, Optimizing
