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AI Financial Analyst for IBM Planning Analytics
Real Life Use Cases that Generate Efficiencies, Enhance User Experience and Improve Insight Into Drivers of Performance
February 11, 2025, 1PM - 2PM EST
In this session, we discuss the use of our new, customizable AI Agent for Financial Analysis for IBM Planning Analytics.
The agent is able to
- Access data in a complex financial infrastructure
- Automate the delivery of executive summary reports with key insights
- Understand relationships between data, providing insight using drill-down to lower level detail
- Enable interaction with finance models in natural language and provides answers based on simple business prompts.
The session is based on our work in this space, along with some real-life tangible use cases based on client models and situations. We do a live demo of the capabilities.
Below are the key topics that we cover during the meeting.
- AI for Finance and FP&A
- Key use cases and objectives
- Typical challenges and constraints
- Interacting with data in complex Finance environments using AI
- Navigating multi-cube as well as hybrid (Transactional and Analytical) environments
- Understanding rules and processes using simple business questions to provide meaningful insight into the drivers of business performance
- Options to deploy AI tools with IBM PA
- Native LLM – example using Claude Anthropic
- AWS Bedrock toolset
- MSFT Foundry
- WatsonX Orchestrate
- Live use case using a Business Profitability Model
- Automating financial reporting using AI
- Interactive capabilities
- Q&A
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