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As I’ve just finished leading an 18-month project, I am reflecting on how project management and leading teams is changing as Artificial Intelligence becomes more common in the workplace. If you have a project or team needing leadership and management, book an appointment with me now and we can speak about how I could help you.
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Highlighting industry best practices Learning from top-performing businesses and adopting proven methodologies. For example, a manufacturing company looking to optimize production efficiency might use Benchmarking Analysis to compare its operational metrics with those of industry leaders.
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Develop response strategies to mitigate or recover from those risks. For example, Apples contingency planning includes : Diversified supply chain strategies to prevent manufacturing delays. For example, Amazons contingency planning includes: Backup cloud infrastructure to prevent data loss. Lead Successful Strategy Projects!
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Some famous examples of this happening include: In India while it was a British Colony, the Colonial Rulers wanted to reduce the number of snakes. One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning. That was not its fault.
And companies regularly boast about how they are spending millions (and sometimes billions) of dollars into research & development to come up with innovative new offerings. Delivery: A team of people who have the ability to take rough ideas and develop them into a customer-facing innovation.
A good movie, The Big Short, noted that this same philosophy, mixing up a number of bad loans into a new package, is what caused the sub-prime lending disaster. This concept of a basket of weak or bad ideas is not practiced just in Hollywood, however. You could basically predict every scene, what key actors would say or do.
A bias against "failure" We're taught from an early age that failing at anything demonstrates weakness and unreliability. Most learning is based on trying and failing and having the willingness to try again and to learn. Without failure, the individual or the company is not trying hard enough and certainly isn't learning.
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Risk management, treated as a learning process, not only propels innovation forward but can also speed it up. They approach risk management not as a safety procedure but as a learning process. Embedding risk management and innovation competence within the structures developed. Risk is becoming an evolving capability.
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