ACG Events & Webinars

February 11th, 2026

AI-Driven Financial Reporting Agent for IBM PA

Real Life Use Cases that Generate Efficiencies, Enhance User Experience and Improve Insight Into Drivers of Performance

November 19th, 2025

Automating Financial Analysis in IBM Planning Analytics using AI

Explore how AI tools can interact with data in IBM PA and across a complex EPM environment to deliver insight into drivers of business performance

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September 30th, 2025

IBM watsonx Orchestrate Integration with IBM Planning Analytics

Ability of users and developers to interact with IBM PA in natural language using watsonx Orchestrate

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May 22, 2025

Extending IBM Planning Analytics with IBM Apptio

How IBM Planning Analytics and IBM Apptio Work Together to Bridge Top-Down and Bottom-Up Financial Management and Align IT, Finance and Business

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February 26, 2025

AI-Capabilities Powered by WatsonX

Overview of newly-released features including IBM PA Assistant, Impact and Outlier Analysis, Chart Insights and Rule Tracer. IBM also provided insight and a quick intro view of future...

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January 29th, 2025

IBM Planning Analytics: 2025 Roadmap with Mike McGeein

ACG and IBM present the latest updates to IBM Planning Analytics, along with IBM's key investment priorities in 2025.

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June 25, 2024

IBM Planning Analytics Rich Tier Retirement

Learn more about the impacts of the IBM Planning Analytics Rich Tier Retirement, the changes that it will represent, and ACG tools and...

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February 27, 2024

IBM Planning Analytics: 2024 Roadmap with Mike McGeein

ACG and IBM present the latest updates to IBM Planning Analytics, along with IBM's key investment priorities in 2024.

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February 6, 2024

Migrating from Oracle Hyperion/Essbase to IBM Planning Analytics

Learn more about the key considerations, approaches and best practices for making your migration from Oracle Essbase / Hyperion to IBM Planning Analytics

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December 12, 2023

Integrating IBM Planning Analytics with ChatGPT

In this session, we upload a financial report from IBM PA into PAfE and send it to ChatGPT to analyze variances. ChatGPT returns a commentary that can be saved in the corresponding lines in PAfE.

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