HEUG AI Innovators Network

We concluded our 2nd webinar in the AI for ERP webinar series on February 18th, 2025. I was joined by guest speaker, Anuj Ojah, a leader in the Oracle Cloud Engineering team, working in the AI Center of Excellence, helping customers address business challenges with AI innovations. In keeping with the AI theme, I decided to share a ChatGPT summary of the webinar with you all. The recording of the webinar will be available soon online at Is Your ERP Data Ready for AI? Join Our Webinar!

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Is Your ERP Data Ready for AI? Join Our Webinar! Join us on Feb 18, 2025, for Part Two of the AI for ERP webinar series. Assess ERP data readiness and optimize operations like forecasting and analytics. View this on Beastute >

soon.  

Summary: AI for ERP Webinar - Part 2: Preparing ERP Data for AI Success

Webinar Overview

• Title: AI for ERP - Preparing ERP Data for AI Success
• Date & Time: February 18, 2025, 11 AM PT
• Speakers:
  • Anu Ojah (Oracle Cloud Engineering AI Center of Excellence)
  • Arvind Rajan (Co-founder & CEO, Astute Business Solutions)

Agenda

1. Is Your Data Ready for AI?
2. Agentic AI on Oracle Cloud
3. Steps to Prepare Your Data for AI
4. Wrap-up, Q&A, and Resources

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Key Topics Covered

Why AI for ERP?

• AI enhances forecasting, automation, and decision-making in HR, Finance, and Procurement.
• AI reduces inefficiencies, automates repetitive tasks, and enables data-driven decision-making.
• Modern AI tools enhance ERP without requiring a full cloud migration.

Data Preparation for AI Success

• Challenges with ERP Data:

  • Data silos, complexity, quality issues, and governance gaps.
  • Legacy system integrations and lack of a unified governance strategy.

• Best Practices for AI-Ready ERP Data:

  1. Assess Data Quality: Identify inconsistencies and gaps.
  2. Data Cleansing: Remove duplicates and errors.
  3. Data Normalization: Standardize data structures and taxonomies.
  4. Metadata Management: Define data dictionaries and lineage.
  5. Data Governance: Ensure security, compliance, and ethical AI use.

Steps to Prepare Data for AI

1. Data Assessment & Cleansing

   • Identify relevant PeopleSoft, EBS, JDE, or Ellucian Banner data.
   • Standardize formats and remove duplicates.

2. Data Structuring & Integration

   • Normalize data and consolidate sources.
   • Use APIs and ETL processes for efficient AI data extraction.

3. Data Labeling & Enrichment

   • Add metadata and contextual information for better AI insights.

4. Security & Compliance

   • Implement role-based access control, encryption, and audit logging.

5. AI Readiness & Optimization

   • Feature engineering, data validation, and bias reduction.

Oracle Tools for AI-Ready Data

• Oracle Data Integrator: AI-driven ETL automation.
• Oracle Analytics Cloud: AI-based insights and forecasting.
• Oracle Autonomous Database & Data Warehouse: Self-managed data platforms for AI workloads.
• Oracle Golden Gate: Real-time data replication between cloud and on-premises systems.

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Key Takeaways

• Data is the foundation for AI success.
• AI solutions must be integrated into ERP systems to unlock business value.
• Oracle AI tools help automate data processing and improve AI model performance.
• Businesses should adopt a structured data strategy before implementing AI.

Resources & Next Steps

• Astute Business Solutions AI Hub: Astute AI Solutions
• Oracle AI Training: Oracle AI Training

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Arvind Rajan
Chief Executive Officer
Astute Business Solutions
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