In this week's episode, Ricardo discusses the Gray Rhino concept described in Michele Wucker's book. Ricardo comments that this idea is the opposite of the Black Swan concept. Events and risks, according to the Black Swan concept, have a very low probability of happening but can have catastrophic consequences if they do occur.
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In this week's episode, Ricardo talks about the relationship between the concepts of BANI and VUCA. The acronym VUCA for "volatile," "uncertainly," "complex," and "ambiguous" has its origins in the American army during the cold war and sought to explain the constant changes and complexity of contemporary entities, which alter our perception of what is right and what is wrong.
In this week's episode, Ricardo talks about flexibility and inflexibility when planning something. We often have the mindset of planning, executing, and controlling something so that it must go exactly as planned. Any variation in the plan is bad and should be avoided, this is inflexibility, and all we don't have today is predictability, showing that the world of inflexibility no longer exists.
In this week's episode, Ricardo returns to the concept of Antifragile, presented by Nicholas Taleb in his book, where Taleb stated that the antifragile "is not necessarily the opposite of fragile" but "what improves with shock." Ricardo talks about making the different types of systems antifragile, systems that can be you, your career, or your company. He complements the concept and outlines the five steps from fragile to antifragile.
In this week's episode, Ricardo talks about the concept of Antifragile, presented by Nicholas Taleb in his book. To better explain it, Ricardo explains the meaning of being "fragile" and "robust," where "robust" is not necessarily the opposite of fragile. Robust refers to the ability to resist shock and is not necessarily improved by shock. What improves with shock is Antifragile. And what you gain from stress.
Only 35% of projects today are completed successfully. One reason for this disappointing rate is the low level of maturity of technologies available for project management. This is about to change. Researchers, startups, and innovating organizations, are beginning to apply AI, machine learning, and other advanced technologies to project management, and by 2030 the field will undergo major shifts. Technology will soon improve project selection and prioritization, monitor progress, speed up reporting, and facilitate testing. Project managers, aided by virtual project assistants, will find their roles more focused on coaching and stakeholder management than on administration and manual tasks. The author show how organizations that want to reap the benefits of project management technologies should begin today by gathering and cleaning project data, preparing their people, and dedicating the resources necessary to drive this transformation.