Since 2007, Ricardo Vargas has been publishing the 5 Minutes Podcast, where he addresses in a quick and practical way the main topics on project management, business agility, risk and crisis management, among other topics.
This episode is the last #5minpodcast of 2021. This week Ricardo shares five key lessons he learned about 2021 that are paving his way to 2022 and can also help you make a better 2022. He also made a LinkedIn article with a few things that are keeping him awake at night. You can read it in full at https://rvarg.as/lookingback. Listen to the podcast to learn more.
This week's episode is super special, with Ricardo talking about the launch of the James Webb Telescope, scheduled for December 24th. He explains that the project to build this telescope is extremely complex (we haven't found an even bigger term to describe how complex the project is). And for a project of this size, the level of competence of the professionals involved doesn't matter.
In this week's episode, Ricardo talks about the book "The Rule is No Rules: Netflix and the Culture of Reinvention", whose subject is the culture of Netflix. Ricardo explains that he read this book recently, which is based on an interview @reed Hastings gave to @Des Dearlove from @Thinkers50.
In this week's episode, Ricardo explains the difference between agility and agile methods. He says that if the project uses an agile method, it may not necessarily have agility. And on the other hand, a project that uses the predictive model may have agility. Ricardo comments that, regardless of the method used, it is first necessary to have a critical sense of urgency, agility and adaptability in the organization.
In this second episode of the series, Ricardo talks about three challenges to applying Artificial Intelligence in project management and product development in general. The first challenge is regarding the quality of the data that will be used.
In this week and next, Ricardo talks about the uses, benefits and challenges of artificial intelligence applied to the project scenario. He explains that artificial intelligence is a branch of computer science that seeks to develop equipment and software capable of performing tasks that are typically human, giving examples of products that use artificial intelligence to replace and facilitate our work.
In this week's episode, Ricardo talks about the fears we have during the development of a product, where situations are not totally in our control. Whether in the speed with which we have to carry out our deliveries and releases or in the concern of not delivering the value expected by our client, which leads us to the fear of failing and not being accepted as a leader in the project. He explains that these fears are natural reactions we have.
In this week's episode, Ricardo talks about resilience and adaptability. He says that when big disasters happen, we first think about resilience, and we associate this term with resistance and more solid constructions that can withstand impacts. But there is psychological resilience and organizational resilience related to developing skills in the project team, in the organization, and ourselves.
In this week's episode, Ricardo talks about our perception of time when we try to assess values, risks, and scenarios in the more distant future. Time significantly affects our ability to judge, understand and evaluate scenarios. He makes an analogy between the promises made at COP 21 for the years 2070 and 2100 and comments that it is impossible to project an event for the year 2100 without having an incredibly high margin of error.
In this week's episode, Ricardo explains the concept of Systems Thinking. He compares systems thinking with traditional analysis, where the system is broken down into smaller components to assess problems, impacts, and improvements. In Systems Thinking, the process is practically the opposite. The focus is not the components but the connection and interactions between them and their behavior over time.
Read Ricardo's reviews of some of the best technical books published.
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