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there are other outcomes that a company needs to achieve such as: safety, security, sustainability, quality

Unwavering Quality : Commitment to deliver customer satisfaction ensures consistent product and service quality.

Although outcome-based goals tend to be more qualitative than performance goals quantitative measures The quality management system shall implement effective risk controls as reasonably practicable to address significant uncertainties to ensure achievement of targeted quality outcomes within a 80% confidence the competency of people, processes, and technology to ensure consistent performance with respect to quality (modified for risk & compliance): Qualification of Capabilities Process to demonstrate that the system

And here is what you would find: Quality peaked in 1992 and is now in decline (around the time that ISO 9001 was introduced and the quality movement was at its peak).

This sounds similar to on-going tensions between production and safety or quality or security or any AI Sustainability is perhaps what drives the need for AI safety, security, quality, legal, and ethical

Compliance is fundamentally about reducing stakeholder risk: risk to quality, risk to safety, risk to Compliance manifests itself as programs within a company often structured by the source of risk such as quality

It does this by buying down risk through effective quality, safety, security, environmental, and regulatory

across all business functions including those that are responsible for safety, security, sustainability, quality to productivity (margin, throughput, costs, waste, etc.) as well as better outcomes for compliance, quality

They serve crucial functions in ensuring: Quality control Safety standards Sustainability practices Security The very qualities that make an organization stable and reliable in the short term can become obstacles

This can improve the quality of decision-making and help organizations make more informed decisions. Dependence on data quality : DSS rely on data quality to generate accurate recommendations. Dependence on data quality: Like DSS, AI systems rely on data quality to generate accurate results.

Effective compliance (ex. quality, safety, environmental, and regulatory) requires that existing conditions

improvement has expanded, along with the LEAN tools and practices, to other areas of the business such as: quality