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Learning from Successful Organizations Organizations that successfully develop strong cultures don't It often leads to: Paralysis: Teams waiting for the "right culture" before making necessary changes Superficial

Recent advancements in machine learning will take this to even higher levels and discover patterns that from the "Naturalistic Fallacy" which argues that just because something is found in nature doesn't mean The argument follows that If you have a goal A, then you should do B, which has been observed to lead Also, if you have not yet observed a path that leads to your goal you never know what you "could" let Take caution with how you use your data Big data, machine learning, and artificial intelligence will

examples from different risk domains when discussing each risk concept which is helpful but may also lead Fundamentals of Risk Management - 5th edition" by Paul Hopkin is a great reference for those who want to learn

This mindset can lead to hasty decisions and a lack of consideration for the long-term consequences of This mindset can lead to risky behaviour and a lack of accountability. It means being willing to invest time, resources, and effort today for more substantial, enduring, and With respect to compliance this means taking ownership of obligations and keeping promises associated However, I think it means more than this. We must learn to think beyond ourselves.

It cites an out-of-bounds memory read leading to the failure of the EDR sensor, causing Windows operating closest to the event and often don't provide sufficient explanation of what initiated the causal chain leading There is much to learn from other high-risk domains that can be applied to the practice of software development

You need to learn all that’s essential for you to drive, and that means learning how things work together And this can only be learned by practising them at the same time. You will look forward with anticipation to the benefits you will experience because you have learned Why are we not expecting and using the entire program, and learn how to drive it so that it delivers But we first need to learn how to drive.

applications, when it comes to critical compliance solutions at the scale of the enterprise this can lead We are following an agile approach which means we don't need to figure out what are requirements are Software demonstrations can be an effective way to learn about what is available in the marketplace. The risk of not knowing can and often leads to failed projects that in many cases doubles the cost since systems and consequently neglected during the procurement phase The value associated with legacy data leading

occur at the beginning of meetings or shifts and revolve around sharing personal experiences, lessons learned Learning from Incidents: Safety moments involve discussing near misses or incidents that have occurred vulnerabilities, limitations, and potential failure modes of AI systems, allowing organizations to learn This continuous learning approach helps build a resilient workforce capable of handling AI-related challenges moments to AI safety, organizations can create a culture of awareness, collaboration, and continuous learning

Hindsight: Learning from the Past Hindsight in risk and compliance involves thoroughly examining historical This retrospective analysis is where machine learning (ML) truly shines. This is where the collaboration between human expertise and machine learning is most evident. While machine learning can contribute through predictive analytics, using historical and current data Hindsight allows us to learn from past experiences, turning historical data into valuable lessons.

Unlike static technologies, AI systems continuously learn and evolve, rendering traditional regulatory What this means in practice is that to regulate artificial intelligence, compliance must also be intelligent This means effective AI safety cannot be reduced to a simple label based on an assessment that happened Learning from other Domains Software as a Medical Device (SaMD) The Software as a Medical Device (SaMD However, this approach directly conflicts with AI's core value proposition – its ability to learn, adapt

from many organizations are the skills to make ethical decisions which have more to do with values and meaning You will learn how to make ethical choices supporting responsible and safe AI along with your other compliance Message me to let me know if you would like to participate ( ray.laqua@leancompliance.ca )

This has much to do about learning and improving our defences to make them more robust. airline industry has a strong safety record partly because after every incident they took a deep dive and learned They did not waste any knowledge that could be learned from disasters. We need to prevent non-conformance, recover from them should they occur, and get stronger when we learn