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Generative-AI-in-enterprise-20230615.pdf

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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.

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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

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

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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

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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

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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

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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

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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

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Generative-AI-in-enterprise-20230615.pdf

  • 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
  • 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