If I knew, I …!
There are things that cause amazement, and there are others that seem to be part of naturalness and normalcy of a large number of people.
For example, it wouldn’t cause amazement that many people consume their time talking about brilliant stuff worthless or trifles and do not seek to clarify ideas or the most relevant aspects of the themes of the conversations in which they participate.
It seems that there is a tendency to consume time without the worry of finding something that makes sense in the conversation.
But I am surprised that some (many) people did not become fully aware of our need for a lifelong learning and also that they are not aware that yesterday’s skills are not necessarily the competences of the future, especially when the environment is the work.
Our ability to determine the deeper meaning or importance of what is being expressed at a given moment is one of the most important skills for the future labor forces.
But, if to be able to find the true meaning of things is important, it is also true that the leadership, building teams (not the formation of groups) and especially creativity are competences of the future that surely will not be part of the “profile of intelligent machines”.
There are many tasks and even “functions” that can be occupied by “intelligent machines”, as for example the routine work in manufacturing and services, but it won’t be as easy to accept that the machines will in future compete for places that require skills that allow to find meaning in things or allow to make critical readings for decision-making.
Critical thinking is a skill that the future will require and it is important to get right now to capitalize.
This means that we cannot make use of the knowledge that we are integrating lifelong learning without it first makes sense in our mind. It is important to find relevant information to increase our critical capacity.
When we draw pieces of information that seem relevant according to the context in which we operate, and it is very important to the contextualization of information, we can create something new that can be interpreted.
In fact what we need is to process this information, reading and ideas so that they combine into something more useful or more significantly stay together.
When we want to build something that is a reality in the future, we need to understand how people think today “and also seeking to understand how they are going to think about the future “.
A projection is not something that necessarily makes sense if we ignore the reality of the experience of the individual. It is a future thinking that produces scenarios where we imagine speculative alternatives.
We can design around a reality toward a desired future state, but let us not forget that the real worlds of the people are a mix of family, work, personal goals, immediate needs, uncertainties, etc.
Today, with advances in technology and with the instruments at our disposal, we expand the context of our interaction we connect with a wide range of people from different disciplines and can collaborate with the goal of creating something new and with value.
Truly collaborative processes embrace different points of view, even those that are conflicting, allowing their merger and creating something new and never before imagined.
Today and tomorrow our need to collaborate will be constant and so I leave a reflection point, citing Jamais Cascio:
“Focusing only the challenges of the present may seem imperative, especially when those challenges are massive and frightening. But without a sense of what’s next, a capacity for understanding connections and horizons, and a vision of what kind of world we want, our efforts to deal with today’s problems will inevitably leave us weakened, vulnerable, and blind to challenges to come.”
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This post is inspired in an old one from this blog!
- When we are building a team, attitudes are a unique value
- The critical thinker in teams and decision making
- How to build teams that evolve with the organization?
- The purpose of teams in Organizations and the impact of predictions on Data Science
- How to avoid the temptations for complications in SMEs
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