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139 results found for "Model"

  • The Need for AI Mythbusters

    as bold claims such as: “LLMs are sufficiently creative that they can beat humans at coming up with models

  • Turn Your Compliance Silos Into Compliance Pillars

    Lean Compliance Operational Model - Provides concept of operation to meet obligations and keep promises

  • Operational Compliance

    Operational Compliance Model

  • Digital Threads: The Future of Compliance

    In this presentation he proposed the digital twin as a conceptual model underlying a product life-cycle However, the idea of modelling the real-world with computer simulation is not new and can go back to What makes digital twins different from computer-based modelling are the connections between the real In essence, a model becomes a digital twin when it connected with its real life counterpart. The digital thread is a critical capability in model-based systems engineering (MBSE) and the foundation

  • AI's Category Failure

    While it recognizes "systemic risks" from advanced AI models, it primarily identifies these risks through Most notably, the Act treats powerful general-purpose AI models like GPT-4 as requiring transparency This potentially under-regulates foundation models that could be readily configured for autonomous operation emphasizes understanding how parts interact to create emergent system behaviors, identifying failure modes

  • The Nature of Environmental Obligations

    This shift will require an operational model that is more than training, audits and corrective actions

  • Using LEAN 5M+E to Discover Probable Causes

    process, assets, and the plant: The following chart is an example of a process review using the 5M+E model

  • What Creates Risk Opportunities in Your System?

    Hazards, threats, and failure modes? They're all manifestations of uncertainty. In cybersecurity, threat modelling does the same thing—identifying uncertainties in system behaviour

  • AI's Wisdom Deficit

    According to the DIKW model, wisdom arises from knowledge, particularly knowledge derived from experience

  • Fighting the AI Dragon of Uncertainty

    The real world is not in our AI models either.

  • When Automation Hides Waste

    This includes deploying large language models for simple text tasks that simpler algorithms could handle , running complex AI models when rule-based systems would suffice, or using resource-intensive processing

  • Total Safety Management

    This is why a feed-forward process is needed using a model-driven control. It is the model that provides predictive capabilities that can help to address the effects of uncertainty

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