In this episode, Ricardo explores the core principles of building stronger connections with our boss and how it is critically relevant if we want to deliver our project and get the work done. It covers how building trust, establishing connections, avoiding negative bias, and broadening our relationships can support a positive professional relationship with our supervisors. Listen to the podcast to learn more.
Technology has begun to transform how organizations deliver projects, and rapid change lies ahead. What role will leaders play when AI is deployed in project management?
While AI is not yet a standard tool in the world of projects and project management, there is no doubt that it will disrupt this discipline, and probably faster than we expect. The prospect of that transformation seems almost incredible: in most organizations the tools used to manage projects remain relatively basic compared to the sophisticated digital technology being deployed in other parts of business. Most projects are still managed with Microsoft Office tools, such as Excel and PowerPoint. Can you imagine running your business and operations with spreadsheets? Well, that reflects how little technology has evolved in project management.
In this episode, Ricardo introduces the timeless philosophy of Occam's Razor, a principle that champions simplicity. Coined by 14th Century philosopher William of Ockham, this concept prompts us to choose the most straightforward explanation or solution when faced with equally good alternatives. He discusses how this principle can streamline our approach to project management.
In this episode, Ricardo discusses three strategies for improving your remote work experience. These strategies include establishing clear boundaries between work and personal time, proactively and effectively communicating with your team using different channels, and embracing remote work's flexibility. As remote work becomes mainstream, these strategies improve team members' productivity, well-being, and job satisfaction.
In this episode, Ricardo shares his experience learning Spanish using the Duolingo app and diving into how gamification can boost the productivity and morale of project teams. Using micro-rewards, project managers can create fun and healthy competition among project teams to deliver better projects. Listen to this new engaging episode packed with Ricardo's real-life experience and actionable insights! Listen to this episode to know more!
In this episode of "5 Minutes Podcast About Project Management and AI," Ricardo explores three key areas where AI can bring Agile Development to the next level. Firstly, he discusses how AI can help teams plan and prioritize sprints for greater accuracy in predicting delivery dates. Secondly, Ricardo talks about how AI can help teams respond quickly to changes and optimize resource allocation.
This week on the podcast, Ricardo discusses Little's Law. The formula created by MIT Professor John Little for productive processes involving Lean and Six Sigma has applicability in project management, particularly in agile projects that use Kanban and Scrum boards.
This video is all about AI in Project Management Ricardo Vargas shares six direct applications of Artificial Intelligence and how the impact the work of project teams.
In this video, Ricardo explains in detail how to calculate the critical path. It explains with examples how to calculate the forward pass and the backward pass, as well as the free and total floats.
Ricardo talks about the predictions we make for our projects and initiatives in this week's episode. He explains that we frequently have an illusion of control and that the perception of future reality is significantly more complicated than reality itself. Professor Philip Tetlock found that only 45 percent of almost 30,000 predictions made by various professionals were accurate.
In this week's episode, Ricardo talks about moral hazards. He exemplifies the recent collapse of the North American financial system when the Silicon Valley Bank closed its doors. From then on, a debate arose about the extent to which the government should interfere, with the emergence of moral hazard, because if the government helps, other banks will also have this right.
Join Antonio Nieto-Rodriguez and Ricardo Vargas on a informal conversation about their featured article on Harvard Business Review about artificial intelligence and other project management technologies.
In this week's podcast, Ricardo discusses some common mistakes that can be made when making decisions in various contexts, such as a project. Our decision may have positive and negative consequences depending on the circumstances because we may have to sacrifice to achieve our objectives. To avoid errors, we must first understand the relationship between the decision and its outcomes (a good result does not always mean a good decision).
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.
This week Ricardo shares a personal experience where he can see project management happening naturally as part of life. He made lunch at the weekend to celebrate a friend's birthday. Without even realizing it, Ricardo prepared the list of ingredients and made a mental plan of what resources he would need, how long each item would last in the oven, etc. Important to note that lunch was not for two people. It was for more than 20 people.