This document discusses generative AI and its potential transformations and use cases. It outlines how generative AI could enable more low-cost experimentation, blur division boundaries, and allow "talking to data" for innovation and operational excellence. The document also references responsible AI frameworks and a pattern catalogue for developing foundation model-based systems. Potential use cases discussed include automated reporting, digital twins, data integration, operation planning, communication, and innovation applications like surrogate models and cross-discipline synthesis.

1. Australia’s National Science Agency
Liming Zhu
Research Director, CSIRO’s Data61
Conjoint Professor, UNSW
Generative AI for
Enterprises
All pencil drawings in this presentation are created by AI

2. Generative AI
•Text
•Image/video
•Code/Scripts
•Data
Predictive
Diagnostic
Concepts Clarified
2 |
Prescriptive
Discriminative
Model
Generative
Model
Hybrid

3. Generative AI Transformation - Business
3 |
• General Capability
• human resources or tools/functionality
• Ease of Access
• More low-cost experimentation driven
• Less problem/cost-benefits driven
• Blurring/Moving Division Boundaries
• reverse Conway's Law

4. Generative AI Transformation - Architecture
4 |
Lu, Q., Zhu, L., Xu, X., Xing, Z., Whittle, J., 2023. Towards Responsible AI in the Era of ChatGPT: A Reference
Architecture for Designing Foundation Model-based AI Systems. https://arxiv.org/abs/2304.11090

5. Generative AI Transformation - Infrastructure
5 |
“Talk to Your Data” --> FM-based Innovation/Operational excellence
“Zero-gradient Infrastructure” --> FM tuning and FMOps
Lu, Q., Zhu, L., Xu, X., Xing, Z., Whittle, J., 2023. A Framework for Designing
Foundation Model based Systems https://arxiv.org/abs/2305.05352v1

6. Responsible Generative AI
6 |
Lu, Q., Zhu, L., Xu, X., Xing, Z., Whittle, J., 2023. Towards Responsible AI in the Era of ChatGPT: A Reference
Architecture for Designing Foundation Model-based AI Systems. http://arxiv.org/abs/2304.11090
Product/Services
Development Processes
Governance
https://research.csiro.au/ss/science/projects/responsible-ai-pattern-catalogue/
CSIRO Responsible AI
Pattern Catalogue

7. Potential Use Cases
7 |
Operation
• Automated reporting
• Digital Twin?
• Multi-model/instrument data
integration & synthesis
• Operation plan generation
• Enhanced public communication
Digital Subject Matter Experts (SME)
Innovation
• FM-based integration
• Generative AI surrogates for M&S
• Synthesis of experiment &
simulation data and code
• Rare/extreme event prediction
• Cross-discipline observation