Transformation

​​​​​​Ricardo Viana Vargas and Antonio Nieto-Rodriguez discuss leveraging AI and technology to effectively address all ESG components after the World Economic Forum (WEF) published a report on the progress made in encouraging private companies to adopt firm metrics on environmental, social, and governance (ESG) initiatives, a week before the Davos 2024 summit.

The book offers a thought-provoking yet highly applicable resource for you and your organization to make sense of the future. It brings together a powerful collection of executives, thought leaders, practitioners, and researchers from around the world to map out what achieving truly sustainable innovation means for both individuals and organizations.

Artificial emotional intelligence promises to revolutionise the way companies do business. With it, robots will be able to understand, react to and mimic human emotions. Ricardo Viana Vargas and André Barcaui discuss how the technology will affect healthcare, the workplace and personal relationships.

There are unprecedented opportunities at the intersection of AI, project management, and sustainability. Unfortunately, without proper execution, projects to implement AI come with complexities, costs and a carbon footprint that undermine sustainability goals. It is essential for project managers to learn to implement “green algorithms,” specialized AI constructs designed to both enhance operational efficiency and prioritize sustainability. A five-step framework of defining sustainability objectives, centralizing data, customizing algorithms, pilot testing, and full-scale implementation can guide project managers and leaders as they deploy green algorithms effectively.

Digital transformation has become an imperative. In today’s fast-paced, digital-first world, businesses of all sizes and industries must embrace digital technologies to stay competitive and relevant.

In June 2023, we embarked on a exciting journey to explore the uncharted territories of Atificial Intelligence within Project Management.

The rapid technological advancements an the transformative potential of AI elevated our curiosity, leading us to conduct a comprehensive survey among experts and practitioners worldwide.

AI can enhance project management through automation of repetitive tasks and anable more efficient scheduling, resource allocation, and risk assessment.

PMOtto, your AI-powered assistant for all things Project Management, leverages the advanced GPT-4 model, integrating it with one of the industry's most comprehensive project management datasets. The functionality of PMOtto is designed around three layers. The foundation is rooted in GPT-4's large language models. The second layer constitutes our unique project management layer.

PMOtto, your AI-powered assistant for all things Project Management, leverages the advanced GPT-4 model, integrating it with one of the industry's most comprehensive project management datasets. The functionality of PMOtto is designed around three layers. The foundation is rooted in GPT-4's large language models. The second layer constitutes our unique project management layer.

As a senior project sponsor, you oversee a complex portfolio of projects with a combined budget exceeding $50 million. One of these is a high-stakes transformation project to modernize your company's production facilities. As you sit down for the weekly status update meeting, you're greeted by an AI-driven bot. It seamlessly synthesizes information from multiple projects into actionable insights, providing a clear snapshot of your entire project portfolio.

What You Need to Know and Do is an indispensable resource for you and your organization as you embark on the exciting and challenging journey of digital transformation. It features insightful ideas and best practices that drive digital transformation. Contributors include leading thinkers and practitioners drawn from around the world.

The stakes are high. As Project Management Institute President and CEO Pierre Le Manh writes: “Ultimately, digital transformation is about driving business growth and success through technology. It is about finding new and innovative ways to deliver value to your customers and stay ahead of the competition. With the right tools, strategies, and mindset, you can emerge stronger and more competitive than ever before.”

When it comes to artificial intelligence (AI), project leaders should ask themselves two key questions. First: Are my organization and I willing to adopt AI-inspired tools as part of the ordinary course of doing business, particularly in project management? This question will give you a sense of your organization’s appetite for adopting machine learning (ML)–inspired technology. The second—and, in fact, the more critical question—is: Are my organization and I ready to take this important leap forward? This question will give you a sense of how quickly you can identify and apply AI to projects.

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.

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.

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.