COMPLIANCE
SEARCH
Find what you need
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











