Artificial Intelligence in Project Management Webinar Ricardo Vargas and Antonio Nieto-Rodrigues

Ricardo Vargas
3 Mar 202351:30

Summary

TLDRIn this insightful discussion, Antonio Nieto-Rodriguez and Ricardo Vargas explore how AI will disrupt traditional project management practices. They delve into areas where AI can significantly impact project selection, prioritization, planning, reporting, testing, and redefining the project manager's role. Through interactive polls and thought-provoking questions, they engage the audience in envisioning a future where AI augments human capabilities, emphasizing the need to embrace this technological shift. The session culminates with an exciting proposal for a masterclass that combines cutting-edge AI concepts with hands-on project management training, aiming to equip professionals with the skills to thrive in this transformative era.

Takeaways

  • 👨‍💻 AI and machine learning are expected to significantly disrupt and automate many aspects of project management, including selection/prioritization, planning, reporting, and testing.
  • 📊 Polls conducted during the discussion indicated that most attendees believe 40-60% of current project management practices could be taken over by AI in the near future.
  • 🤖 AI can provide predictive insights, automated planning, virtual assistance, and advanced testing capabilities to streamline project workflows.
  • 🧠 While AI can handle many administrative and operational tasks, human project managers will still play a crucial role in strategic decision-making, stakeholder management, and leadership.
  • 📈 Embracing AI is seen as an opportunity to offload tedious tasks and focus on higher-value activities, potentially improving project success rates.
  • 💡 The presenters envision developing a comprehensive "masterclass" on leveraging AI in project management, partnering with business schools for accreditation.
  • 📂 Data quality and cleansing remain significant challenges for effective AI implementation, though newer AI techniques can help fill data gaps.
  • 🔄 AI's impact is expected to extend to agile methodologies, potentially automating portions of the development lifecycle.
  • ⚠️ Addressing AI bias and ethical considerations is crucial to ensure fair and unbiased decision-making processes.
  • 🌐 The discussion generated numerous thought-provoking questions from attendees, highlighting the need for further exploration and research in this rapidly evolving field.

Q & A

  • What are the main areas of project management that are expected to be disrupted by AI according to the speakers?

    -The speakers highlighted six main areas that they believe will be disrupted by AI: 1) Better selection and prioritization of projects, 2) Support for project management offices, 3) Improved and faster project planning and reporting, 4) Virtual project assistance, 5) Advanced testing systems and software, and 6) The role of project managers itself.

  • How can AI help in selecting and prioritizing projects?

    -AI systems can analyze a large amount of data and use algorithms to predict the success, resource utilization, and alignment with strategy for potential projects. This can help organizations choose the best mix of projects to pursue.

  • What is the potential impact of AI on the role of project management offices (PMOs)?

    -The speakers suggest that AI could automate many of the administrative and reporting tasks currently handled by PMOs, such as compliance monitoring and exception tracking. AI could potentially replace the need for traditional reports if it can provide real-time insights and answers to project stakeholders.

  • How can AI improve project planning and reporting processes?

    -AI systems could pre-populate project plans, tasks, risks, and resource requirements based on historical data and learnings. Additionally, AI-powered virtual assistants could aid project managers in planning and reporting by providing insights and recommendations.

  • What is the role of virtual project assistants mentioned by the speakers?

    -The speakers envision AI-powered virtual assistants that can act as advisors to project managers, providing insights and recommendations based on the project's data and the assistant's knowledge of project management best practices.

  • How can AI help in software testing and development?

    -The speakers highlight that AI can be used to automate software testing before release, potentially reducing the time and effort required for testing. Additionally, AI systems like ChatGPT can assist in generating code, enabling more user-friendly software development processes.

  • How do the speakers see the future role of project managers in an AI-driven environment?

    -The speakers believe that project managers should embrace AI as an ally rather than seeing it as a threat. They suggest that AI can handle many administrative tasks, allowing project managers to focus more on strategic thinking, stakeholder management, and leadership roles.

  • What challenges do the speakers mention regarding the adoption of AI in project management?

    -The speakers highlight the importance of having clean, high-quality data as a significant challenge in adopting AI for project management. They also mention the need for investment and dedicated projects to successfully implement AI solutions.

  • What potential initiative do the speakers mention regarding AI in project management?

    -The speakers express their ambition to develop a master class or training program focused on AI in project management. They aim to create a comprehensive and high-quality program in partnership with a business school, potentially involving Harvard Business Review as well.

  • How do the speakers view the impact of AI on agile project management approaches?

    -The speakers acknowledge that AI will likely impact agile approaches and DevOps processes, as these are closely tied to technology development. They suggest that while traditional agile practices may be automated by AI, the agile mindset and human aspects will still be relevant and may need to evolve.

Outlines

00:00

👋 Welcome and Introduction

Antonio welcomes the audience and introduces himself and Ricardo. He expresses his excitement to be partnering with Ricardo for this discussion on an HBR article they recently published. He acknowledges the challenges in project management, such as low success rates, and highlights the need to improve project delivery. Antonio then shares a poll on the percentage of current project management practices that could be disrupted by AI.

05:01

🌐 The Current State of Project Management

Antonio discusses the appalling performance rates of projects, with most being delivered late or failing. He emphasizes the need to step up and ensure that only 20% of projects fail instead of 80%. He highlights the lack of maturity in project management technology compared to operational systems like ERPs. The goal is to double the success rate and have an immediate impact on financial, sustainability, and diversity outcomes.

10:01

🤖 AI Applications in Project Management

Ricardo introduces six aspects of project management that could be disrupted by AI: project selection and prioritization, support for the project management office (PMO), faster planning and reporting, virtual project assistance, advanced software testing, and the evolving role of project managers. He provides examples of how AI can be applied in each area, such as using neural networks for project selection and AI-powered recruitment platforms.

15:04

📊 AI for Project Planning and Reporting

Ricardo discusses the potential of AI in project planning and reporting. He questions the need for traditional reports if AI assistants like ChatGPT can provide real-time information by integrating external data and a company's proprietary data. He also shares an example of a chatbot called Pmoto that can automatically populate project plans based on user inputs.

20:05

🚀 AI for Software Testing and the Evolving Project Manager Role

Ricardo highlights the potential of AI in advanced software testing and the evolving role of project managers. He emphasizes that AI will not replace project managers but will serve as a strong ally, enabling them to focus on strategic thinking, leadership, and soft skills. The future project managers will be those who embrace AI and combine human skills with technology for better project delivery.

25:07

🗳️ Audience Poll on Disruptive AI Applications

Ricardo conducts a poll to gather audience opinions on which areas of project management will be most disrupted by AI. The options include project selection and prioritization, PMO support, planning and reporting, virtual assistance, software testing, and others. The poll results show that improved planning and reporting, followed by virtual project assistance, are considered the most likely areas to be disrupted.

30:08

💻 Data Challenges and AI Adoption

Antonio discusses the challenges of data cleansing and preparation, which can account for up to 80% of the effort in AI implementations. He mentions ongoing research on machine learning algorithms for project prioritization and shares examples of AI-powered project monitoring tools. Antonio also introduces the idea of developing a masterclass in project management, partnering with a business school, and involving experts from various domains.

35:10

🤔 Addressing Concerns About AI and Project Management Careers

Antonio and Ricardo address audience concerns about the impact of AI on project management careers, particularly for young professionals. They emphasize that AI should be seen as an ally rather than an enemy, as it will enable project managers to focus on higher-value tasks and strategic thinking. They provide examples of how AI is already being integrated into agile methodologies and human performance management.

40:12

❓ Q&A: AI Maturity, Data Quality, and Integration with Existing Frameworks

Antonio and Ricardo respond to audience questions related to evaluating the maturity of AI tools for project management, challenges in collecting clean data, and the integration of AI into existing project management frameworks like the PMBOK® Guide. They acknowledge the lack of maturity models for AI in project management but highlight the potential for AI to complement existing practices and address data quality issues through unsupervised learning.

45:15

🔮 The Future of AI in Project Management

Antonio and Ricardo share their vision for the future of AI in project management. They discuss the potential of AI to predict project success without relying solely on historical data, drawing inspiration from AI systems like AlphaGo that learn through trial and error. They also mention exploring unsupervised learning approaches for project planning and execution.

50:16

🙏 Closing Remarks and Call to Action

Antonio and Ricardo conclude the session by thanking the audience and encouraging them to subscribe to their respective newsletters and connect on LinkedIn. They provide a QR code and link to download the presentation slides and promise to record and publish answers to additional audience questions.

Mindmap

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. In the context of the video, AI is presented as a disruptive technology that could potentially automate various aspects of project management processes, such as project selection, planning, and reporting. The video explores the potential impact of AI on project management practices, with examples like using AI for candidate screening and pre-populating project tasks.

💡Project Management

Project management is the practice of initiating, planning, executing, controlling, and closing out work to achieve specific goals and meet success criteria. The video discusses how AI could revolutionize various aspects of project management, such as project selection and prioritization, supporting project management offices (PMOs), improving planning and reporting processes, providing virtual project assistance, and even potentially managing entire projects autonomously in the future.

💡Project Selection and Prioritization

Project selection and prioritization refer to the process of evaluating and choosing which projects or initiatives to undertake based on their strategic alignment, potential benefits, and available resources. The video suggests that AI could be used to analyze large amounts of data and model scenarios to recommend the optimal mix of projects that align with an organization's strategy and have the highest likelihood of success.

💡Project Management Office (PMO)

A Project Management Office (PMO) is a centralized unit or department within an organization that oversees and supports project management practices, methodologies, and standards. The video proposes that AI could support PMOs by automating reporting, compliance checks, and other administrative tasks, freeing project managers to focus on more strategic and value-adding activities.

💡Project Planning and Reporting

Project planning involves defining the scope, activities, resources, and schedules required to complete a project successfully. Reporting involves communicating project status, progress, and issues to stakeholders. The video suggests that AI could be used to pre-populate project plans based on user inputs and historical data, as well as automate various reporting tasks, such as generating status updates and identifying potential risks or delays.

💡Virtual Project Assistance

Virtual project assistance refers to the use of AI-powered virtual assistants or chatbots to support project managers in their day-to-day tasks. The video discusses the potential for AI-powered virtual assistants to provide real-time advice, answer project-related queries, and even assist with decision-making by analyzing project data and historical information.

💡Software Testing

Software testing is the process of evaluating software applications or systems to identify defects, verify functionality, and ensure quality standards are met. The video highlights the potential for AI to revolutionize software testing by automating various testing processes, such as generating test cases, executing test scenarios, and identifying defects or issues more efficiently than manual testing methods.

💡Project Manager's Role

The role of a project manager involves leading and coordinating project activities, managing resources, and ensuring successful project delivery. The video explores how the project manager's role might evolve with the integration of AI, shifting from administrative tasks to more strategic and value-adding activities, such as stakeholder management, decision-making, and leveraging AI capabilities to drive project success.

💡Data Cleansing

Data cleansing, or data cleaning, is the process of identifying and correcting or removing inaccurate, incomplete, or irrelevant data from a dataset. The video emphasizes the importance of data cleansing as a crucial step in leveraging AI for project management, as the quality and accuracy of the data used to train AI models significantly impact the reliability of their outputs and recommendations.

💡Agile

Agile refers to a set of project management methodologies and practices that emphasize iterative development, flexibility, and continuous improvement. The video raises the question of how AI might impact agile approaches, such as Scrum, and whether AI could potentially automate certain agile processes or enhance agile practices in software development projects.

Highlights

AI can help with better selection and prioritization of projects by predicting success rates, resource utilization, and suggesting the optimal mix of projects to align with strategy.

AI can support the project management office by automating repetitive tasks like generating reports, tracking compliance, and triggering alerts based on predefined conditions.

AI can improve and accelerate project planning, definition, and reporting by pre-populating tasks, risks, resources, and other elements based on the project's objectives and data.

Virtual AI assistants can act as advisors, leveraging knowledge of the project and project management principles to guide project managers.

AI can enhance software testing by automatically generating and executing test cases, leading to faster and more thorough testing.

The role of project managers will evolve, focusing more on strategic thinking, stakeholder management, and leadership, while delegating repetitive tasks to AI.

Embracing AI as an ally and combining human skills with AI-powered technology can significantly improve project success rates and value delivery.

Data cleansing and preparation are crucial challenges, often taking up to 80% of the time when implementing AI solutions for project management.

AI can potentially impact agile approaches, such as automating DevOps tasks and supporting scrum work, allowing agile to evolve to a higher level.

There is a need for a maturity model or framework to evaluate the readiness and effectiveness of AI tools in supporting project management.

AI can overcome data gaps and biases through unsupervised learning, exploring innovative solutions beyond historical data patterns.

The speakers aim to create a masterclass or executive education program focused on AI in project management, partnering with a business school for accreditation.

Successful project delivery rates are alarmingly low, with 95% of projects being delivered late, highlighting the need for AI-driven improvements.

AI has the potential to automate up to 80% of a typical project manager's daily tasks, according to Gartner's predictions.

Adopting AI in project management requires strategic considerations, such as data availability, organizational readiness, and ethical implications.

Transcripts

play00:02

hello everyone hello Antonio how are you

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my friend hello Ricardo hello everyone

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yeah it's wonderful to to be with you

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and thank you everyone for joining us

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today I I need to say we we oh we just

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delayed a little bit the beginning

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because uh we we had an a really a big

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interest on on the workshop and due to

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the limitations of of the the platform

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and everything so we just decided

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something like 10 minutes ago to

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broadcast this so it's on LinkedIn on

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YouTube on Facebook and even on Twitch

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so in all these platforms you can watch

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uh this discussion uh live uh and we are

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very happy Antonio thank you very much

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for the partnership on on the article so

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what do we aim here uh is um to discuss

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a little bit more about the article we

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we recently published on hbr and and try

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to Envision a little bit more how the

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future will look like and please feel

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free to use the Q a uh to talk for some

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technical glitch here the chat is not

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available for the attendees we try to

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sort out but we were unable to do that

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so you can use your q a also to

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introduce yourself and just to to say at

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least we can see where you come from and

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we can use this uh to refer to all of

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you so I want now to

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start sharing uh our our slide deck and

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this slide deck will be available uh to

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all of you uh at the end I will share

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with you the QR code so you can you can

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uh take a look and download it okay so

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um the main reason for this is the

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article we recently published and and

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this article try to address

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um

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some of the trends that we see are are

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coming and are coming

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really fast and and are coming in

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I I don't want to say in a scary way but

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are coming uh to surprise us and to

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change a lot how do we see things and

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and this is exactly what we want will it

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be virtual assistants uh will it be the

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support of our project planning or AI

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will manage projects

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and these are questions that we really

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want to discuss uh with with you today

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and I just want to introduce I don't

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want to spend too much time you know I'm

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passionate about project management all

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my career is about project management

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from on different sectors I had the

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chance uh to be the director for

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infrastructure and project management at

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the United Nations I had a chance to

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write 16 books in the field I have a

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quite popular podcast for those who

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listen my voice for a lot of time and my

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main work is supporting organizations in

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capital projects uh and also I do some

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works you'll see later on Venture

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Capital mainly on this technology uh

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space so I want uh Now to turn into my

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dear friend Antonio so he can introduce

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himself and start the talk

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thank you Ricardo and thank you everyone

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for joining it's uh I I just love to be

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always with Ricardo and and we always

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have great conversations so we thought

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why not write in an article for hbr why

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don't we create something for the

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community so it's today it's a major

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step for I hope for our partnership

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Ricardo and I'm really glad to have so

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many friends on the call I see David

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Carr uh Garrett and and uh to have so

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many friends thank you for joining I

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think one thing that is important in

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this space especially in project

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management is a lot of co-creation some

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people can come with an idea but if we

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don't work all together towards making

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these changes happen it will never

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happen so I think Ricardo me we propose

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always new things and new ideas but it's

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the power of the community PMI and

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beyond that makes these things happening

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I think one thing I I just don't will go

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not into my career you I think many of

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you know but I think what I've noticed

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and Ricardo you know that too is that

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finally people at the top of

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organizations are recognizing the power

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of projects the importance of project

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management for dealing with this world

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driven by change the the project economy

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so it's just great to be in this space I

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think we have worked hard to get there

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many people who are in the corn many

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people who are not in the call but it's

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just great when you get calls from CEO

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and they tell you listen we have a

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problem here we have too many projects

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or we cannot deal with these

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Transformations we need help we need to

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build project management competencies

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agile competencies so I think I just

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wanted to acknowledge that and recognize

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that from from for the community who's

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here in this calling and and we're all

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working together so and today a topic

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which we're both very passionate which

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is the artificial intelligence of of

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course and and somehow I think Ricardo

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you mentioned that we it's not a topic

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that we really have addressed in the

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project management world I I was

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chairman of PMI in 2016. I I was very

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interested on on Bridging the Gap with

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strategy we launched brightline but

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artificial intelligence was never really

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discussed and I think it's just coming

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but very slowly not in other Industries

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like healthcare construction cars where

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AI is so present in project management

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we have not been very active talking

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about that and I think this is time to

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accelerate that and and make it uh

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something positive something where we

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can bring this change to the table we

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can say listen a machine can do part of

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our work we can do much more in other

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spaces so

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um if you go to the next slide Ricardo

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um this is something that we annoys me a

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lot as as somebody that speaks around

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the value of project management when you

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see the the really appalling uh

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performance rates of projects and again

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I think we all agree that it's hard to

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measure success there's no standard way

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to look at drug sales I always talk

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about the triple constraints benefits or

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success and then the benefit success so

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there's two types of successes but still

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any any

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research that we find through PMI

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brightline McKinsey uh Professor from

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Oxford recently with his big book big

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Ideas uh also the numbers are really bad

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it's like 95 percent of the projects are

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delivered on on delay so I think we need

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to step up this is another area with

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Ricardo and I talk a lot is how can we

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ensure that just 20 of the projects fail

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but not 80. so I think that's where it's

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a big issue for me in this profession

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that we need to find if we are credible

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now in the senior leaders face but we

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need to be more by delivering more value

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and faster so I think this is a bit

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setting the scene of AI is also AI can

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help to do that hey I can help us we

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should see as a as a mechanist for us to

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make better projects to deliver them

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better more successfully I think there's

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one more slide before we move yeah so I

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think if you look at I've been doing

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project management forever like most of

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you and it stress you look at the

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operational side of any business and you

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see erps and you see a lot of data

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warehousing and you see uh reporting on

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the spot and and I get very jealous why

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operations is so good and they have one

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source of Truth and and why in project

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management what is such a mess you can

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have excels power points on people PPM

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systems they did help a bit into that

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space But it is never really mature so I

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think the the maturity in technology in

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the space of project management is still

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very very low

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and the next slide so this is a bit set

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in the scene

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and my vision which I think Ricardo

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shares as well is that if we put

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ourselves a target of let's double let's

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let's make sure that uh if we improve

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our success rate by 25 this is immediate

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impact this is immediate benefit it's

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not that we need to invest more we just

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need to do them better and you have

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impact in in terms of financial but also

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in terms of impact sustainability

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diversity so I think this is something

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like we need to stick in our uh targets

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for the next two three years to do that

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and then well I think we can really be

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very very successful in this space

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and I think we have a small pool here so

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we wanted to make this as interactive as

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possible we'll share a few slides but

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then we'll have polls so you can see

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here the first one it should have pop up

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in your screen so what person touch of

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the current project management slash pmo

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practice would be disrupted by AI will

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be kind of taken over uh will be done

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in the next years twenty percent forty

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percent sixty percent eighty percent

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hundred percent

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100 would be nice right we don't need to

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do I always talk about self-driving cars

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but self-driving projects

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why not

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then we

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Antonio I'm just waiting here we have

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already uh hundreds of answers but it's

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moving very fast so if you wait 10 more

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seconds uh before I close the pool okay

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I closed yeah I can see the results you

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cannot yet but not yeah but it's fun you

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you'll see it's fun it's fun

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okay I'm I'm closing okay I'm closing

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the pool now it's closed okay and now I

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will share the results

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ball to you Antonio

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okay I think I'm glad to see that I

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think there's uh

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the interesting there's people who think

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about 20 only and a few seven percent 23

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and we have already 400 people in the

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court uh 100 I'm curious to hear that

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but the majorities in between

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um so 60 which is quite a lot imagine

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half of our week will be done and

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automated through machine learning

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artificial intelling that's a lot one of

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the biggest reference and I'm closing

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down here just my last slide before

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moving to Ricardo is Gardner so Gardner

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was the first one that brought this into

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the scene I know PMI has been looking

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into that as well and this is already

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three years old but Garner said at that

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time eighty percent eighty percent of

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your day eighty percent of four day four

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days of five uh could be done by machine

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so that's scary that is saying okay what

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I'm going to do I can keep myself busy

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for a day but what I'm going to be doing

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so nothing that's what make a lot of

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noise this this announcement by Garner I

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I think there is some true in this

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number because we do still a lot of

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manual work administrative work

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controlling work that machine learning

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can easily do but I think we need to see

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this as an opportunity imagine you get

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rid of all this boring work and you have

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just a nice part the stakeholder

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management so the next section and

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passing back to Ricardo is based on the

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article where are the areas that we've

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seen this is not just prediction we have

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seen changes happening and and there's

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some more or less but back to you

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Ricardo okay thank you thank you Antonio

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uh and it's it's interesting I just went

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before we have people from everywhere

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you you cannot see but from California

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to Bangladesh from Brazil Canada

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everywhere so thank you very much for

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joining us uh we already have series of

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questions here that we are planning to

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address but what I want is to try to

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share with you six aspects of the the

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project man management that we truly

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believe will be disrupted uh and and the

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upper coming area uh years uh so let me

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go through each of them from better

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selection and prioritization of projects

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to the support of the project management

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office to speed up on the planning

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process project definitions virtual

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project assistance advancing testing

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systems and and finally and probably the

play13:18

most disruptive one it's uh how will be

play13:21

our role as a project managers uh in in

play13:24

this environment so the first one it's

play13:27

the use of artificial intelligence to

play13:31

help you to select and prioritize so

play13:33

imagine one thing uh

play13:36

if we want to understand what AI is

play13:38

about AI is just a process that take a

play13:42

huge amount of data and through some

play13:45

algorithms try to make sense and try to

play13:48

create patterns that could indicate to

play13:51

us a trend or or an approach so what

play13:55

happens you can put your candidate

play13:57

projects in an AI system and

play14:01

they can predict

play14:04

success

play14:06

in terms of

play14:07

but fulfillment

play14:08

in terms of

play14:10

results in terms of resource utilization

play14:13

and give you back

play14:16

that suggested mix or of projects to

play14:21

help in your strategy so you can use

play14:23

tools combining like ahp

play14:26

modeling simulation big data in all of

play14:30

these to help you to do this I have a

play14:33

lift I want just to tell you one thing

play14:36

in 2015 I published an article about the

play14:39

use of neural networks on the project

play14:41

selection and prioritization this was

play14:44

eight years ago these was published at

play14:47

the PMI Congress and at that time I used

play14:50

X L and I use a tool called Palisade at

play14:54

risk to help me to simulate what would

play14:58

be the best set of portfolio of of

play15:00

projects and we use neural networks and

play15:04

neural networks is a subset of what AI

play15:07

accounts and what is the difference

play15:09

between 2015 and now that because today

play15:14

it's widely available today you have

play15:18

much more chance to get the information

play15:21

you need and to use this analytical uh

play15:25

aspect coming from this AI tools that

play15:28

will help you to select much faster and

play15:31

in a much reliable way

play15:34

ah

play15:36

one example I want to to say I published

play15:38

yesterday my newsletter and and one of

play15:41

the aspects of the newsletter was this

play15:43

case Highview and Highview is a platform

play15:46

it's an existent and leading platform

play15:49

for Recruitment and do you know what

play15:51

surprised me iview is all artificial

play15:54

intelligence based it means

play15:57

all these screaming of candidates

play16:00

even the

play16:02

interview by a human being on the other

play16:04

side it's not someone interviewing you

play16:07

it's a machine that interviews you and

play16:11

and look what is incredible this machine

play16:14

could perceive if you are a good fit or

play16:18

a bad fit

play16:19

however on the top of that comes a

play16:23

massive challenge because I always say

play16:26

this

play16:27

uh AI has as much bias as any human

play16:33

being that is feeding AI with

play16:36

information

play16:37

so Highview had to stop uh I think one

play16:42

year one year and a half ago the facial

play16:45

analysis of candidates because they

play16:48

discover that it had it had bias the way

play16:52

you smile the way you position the way

play16:54

you shake your hands could be

play16:57

uh good or not so good and and this is

play17:01

full of bias against uh different

play17:04

candidates and this is a true case you

play17:06

can see this on a Wired Magazine and

play17:09

this so this is a use of selecting

play17:12

candidates for example uh in the project

play17:15

environment

play17:16

the second one this is obvious support

play17:19

project management office one thing that

play17:22

I always tell people is that I don't

play17:25

believe at all that is our role as a pmo

play17:29

or as a project managers to Just Produce

play17:32

paperwork you know from templates

play17:35

to a report and everything so AI can

play17:40

support that I have a very big question

play17:44

that I want to ask you because I don't

play17:46

have the answer is that

play17:47

will we need reports in the future

play17:51

do we need that because why do we do a

play17:54

report we do a report because we expect

play17:57

that people will read and make decisions

play17:59

but if imagine if I have an oracle uh

play18:03

let's let's suppose like chat GPT that

play18:06

everybody and you as a boss you can just

play18:09

go and chat and say

play18:12

is this project on budget and chat GPT

play18:15

will not only look externally but will

play18:19

look all your poor and this is exactly

play18:22

where the big business on AI is for

play18:26

software companies Microsoft just

play18:28

released it that the connection between

play18:30

chat GPT and Bing is not just a

play18:32

coincidence or market share because what

play18:35

will happen is that you will have

play18:37

artificial intelligence servers in your

play18:40

company doing and connecting external

play18:43

information with your own proprietary

play18:45

information to use as competitive

play18:48

advantage and all these support on

play18:51

compliance and everything will be done

play18:54

by the project management office and the

play18:57

project management office can set

play18:59

triggers that will create a red light or

play19:03

a trigger or an exception if something

play19:05

happens or if there is a trend that

play19:09

something will happen based on AI

play19:12

the next one is improve at faster pros

play19:17

and definition planning and Reporting

play19:18

it's a pre-populated project for example

play19:22

you give ideas to Ai and AI will

play19:27

pre-populate the tasks you should do the

play19:31

relationships you may uh use the risks

play19:35

you may face the type of resources it's

play19:39

I I just want to do an analogy imagine

play19:42

you with your Trello board and your

play19:45

parallel board is auto populate or you

play19:47

with your Microsoft processing your

play19:49

Microsoft Project is completely out of

play19:52

populated with that and I had this

play19:55

experience because I was one of the

play19:58

founders and and of the Venture pmoto

play20:01

and pmoto was created and supported by

play20:04

Microsoft and it's a chatbot that does

play20:07

exactly that using AI you have a chatbot

play20:10

like chat GPT and you say I need a

play20:13

project and then you start talking and

play20:15

then uh appear more ask you why is this

play20:19

project about when do you want to start

play20:21

which kind of objectives do you want

play20:24

what is this and then pmoto populate the

play20:26

project for you with all information and

play20:30

check some of your assumptions so this

play20:33

is just one example of how you can do

play20:36

this and use this connecting this third

play20:38

topic with the fourth as like an

play20:41

assistant at someone imagine you having

play20:44

someone in your back with the full

play20:48

knowledge of your project and full

play20:51

knowledge of project management helping

play20:53

you being an advisor and an assistant to

play20:57

you so this is an example and the

play21:00

example of the pmoto is machine learning

play21:03

enable doing this all the time and it

play21:06

learns with time so if you fix and

play21:10

correct the next time the same mistake

play21:12

will not happen again and so it's a

play21:14

learning uh algorithm that will learn

play21:17

over and over so when you if you use it

play21:20

more it will get better and better

play21:24

number five Advanced testing system and

play21:28

software and this is one of the areas

play21:31

I'm talking more for those working in

play21:33

project management in the I.T sector

play21:36

this will be a big big big thing because

play21:41

you will be able able to use AI to test

play21:45

your system to test your software before

play21:47

you release it and and this is one of

play21:50

the key areas just for you to have an

play21:53

idea chat GPT that is now mainstream is

play21:56

one of the best software developers you

play22:00

may find because if you write a a a a

play22:05

send an ID an app for a python code

play22:08

there is a good chance that you will

play22:10

receive a decent code I'm not saying a

play22:12

perfect but the decent code for you to

play22:15

use so all of these it it will reduce

play22:18

dramatically and it will improve

play22:20

dramatically too at the concept of what

play22:24

we are talking inside PMI of the citizen

play22:27

developer process it's where I would say

play22:31

it the development of technology and

play22:33

software will become a far more user

play22:36

friendly and people will be able to

play22:39

build software to build Solutions like

play22:42

piling up Lego bricks and this is I I I

play22:46

would say one of the biggest Trends and

play22:49

one of the trends with the biggest

play22:51

impact

play22:52

and last but not least it's a new role

play22:55

for us and I I will I'm talking here on

play22:58

behalf of Antonio and myself because you

play23:01

know we are on on this field for uh

play23:03

quite a long time and and you know I

play23:06

remember in when I did my PMP in 1999 it

play23:11

was about the budget time and this you

play23:14

know I you don't care too much about

play23:15

what was the outcome of the project and

play23:18

this

play23:19

completely uh today uh on on the

play23:23

position of the project manager so what

play23:26

what it's it's the key

play23:28

the project managers they need to

play23:31

embrace this change and I know I know

play23:34

sometimes it's scary because it it is

play23:38

when I use chat GPT for the first time I

play23:40

said what is that but but it's a

play23:44

different we need now to understand that

play23:47

there is still a lot of things that

play23:49

machines are not able to do uh many of

play23:53

the soft skills leadership but some of

play23:55

the Strategic thinking some of the

play23:58

feelings this is

play24:00

all about project manager project

play24:03

manager is not about preparing report

play24:05

and sending complaints up and down and

play24:08

being the message it's far more than

play24:11

that and and the project manager if you

play24:14

are listening to what I'm saying the

play24:16

project manager that will make

play24:18

disruptive difference in the future are

play24:21

those who use this technology as strong

play24:25

allies

play24:27

to move forward

play24:28

and so combining this soft human

play24:31

approach human skills with a very solid

play24:35

technology supporting and this will make

play24:39

a massive difference for all of us this

play24:41

is why for example Antonio and I we we

play24:44

use a lot of time writing this because

play24:46

we need to plant this seed on every

play24:50

single brain of every single project

play24:52

manager to think that AI is here to stay

play24:55

and we need to embrace that in order to

play24:59

really move our profession to the next

play25:02

level uh and I have a second question uh

play25:06

among these items like what do you think

play25:11

are the ones uh you you believe that

play25:15

will be mostly disrupted so I will put

play25:19

the second pool here and I wanted to see

play25:22

uh what what do you think of that okay

play25:26

what do you think of that so let me go

play25:28

so on the second so I would love that

play25:33

you share with us your perceptions on

play25:37

that uh very quickly so

play25:40

um do we see that it will be for better

play25:43

selection and prioritization uh do you

play25:46

believe that it will be support on the

play25:49

project management office or it's

play25:51

improved planning capability or if it's

play25:54

virtual or a software testing or or even

play25:59

other things so I want just to listen to

play26:03

you so

play26:05

just quickly and and it's very important

play26:08

that you share this uh Antonio one thing

play26:11

that I just just a technical thing we

play26:14

need just to read the answers because

play26:16

for those on LinkedIn and YouTube they

play26:20

cannot see the results of the pool so

play26:22

just just for for you to to do so I will

play26:26

read the results so I will give more

play26:31

10 seconds and and look it's not it's

play26:34

not an easy answer okay uh

play26:38

but if you had to guess one what would

play26:41

be okay

play26:43

so let me okay so I will end now okay I

play26:48

will and now

play26:50

oh there's still people voting voting

play26:53

voting I'm I'm planning to handle and

play26:56

then a lot of votes come popping up so

play26:58

let me okay now I will end the pool okay

play27:03

and I'll share so the results better

play27:06

selection and prioritization 14 support

play27:09

project management office 14

play27:12

improve at faster approach and

play27:14

definition planning and Reporting 34 and

play27:18

the winner virtual project assistance 19

play27:22

Advanced testing system and software 17

play27:25

and ordered two percent so uh the

play27:29

leading is improving I think I I need to

play27:32

agree with you on my perception it's uh

play27:36

this will be I would say materialize it

play27:39

very fast I feel that this will happen

play27:43

very fast for for most of the companies

play27:46

and when I say very fast it's we should

play27:48

expect this year but to have a lot of

play27:51

Solutions on helping these project

play27:53

definition planning and reporting that

play27:56

one thing that was a little bit of

play27:58

surprise for me is the advanced testing

play28:00

and system I was expecting a higher

play28:03

number but 70 percent is still a lot of

play28:06

people so look uh it would be great when

play28:08

we do this again Antonio in two years

play28:10

from now and then we just check the

play28:12

reality of of what happened okay uh

play28:17

Antonio back to you on data and people

play28:20

uh to make a future a reality thank you

play28:22

Ricardo and I just wanted briefly to

play28:25

touch upon a couple of points that

play28:27

Ricardo mentioned

play28:29

um I I done quite some research on all

play28:31

these domains and and seen uh some

play28:34

startups working on that I'm actually uh

play28:37

developing a machine learning with a

play28:40

professor in Canada uh Paul uh who is

play28:44

one of the leading uh

play28:46

experts in AI in in in this and we're

play28:50

working on a prioritization selection

play28:53

application it has 90 criteria so I'm

play28:57

gathering data for 50 projects and so I

play29:00

hope that

play29:01

um

play29:02

also I'll come back to that so that is

play29:04

ongoing and I hope in a couple of weeks

play29:07

we'll be able to test it I've seen a

play29:09

software that you can press a button and

play29:12

has a thousands of WBS and can create a

play29:16

a good plan in five minutes instead of

play29:19

to 20 weeks because of all the big data

play29:23

and data and knowledge they've gathered

play29:25

I've seen another software that is used

play29:28

by president macron in France

play29:31

for watching all the all the projects

play29:34

public spending projects in front

play29:37

there's thousands and he can see in a

play29:40

second which projects are late or not

play29:43

um

play29:44

so on the risk side as well so my my

play29:49

thinking and we still need to discuss

play29:51

that Ricardo but we could have another

play29:52

session like this one and deep dive in

play29:55

and bring in this Technologies to you so

play29:57

that we can also learn from that so

play30:00

that's a an ongoing learning process

play30:03

it's not just one one of AI session for

play30:07

me just to finish when they asked me how

play30:11

do you see technology in project

play30:12

management over the years in the future

play30:15

I always refer to uh Maps when you're

play30:19

driving in a car with the maps you know

play30:22

we had three big faces one was the paper

play30:25

maps the mission lamp maps that were

play30:27

huge and it was fun to write but it was

play30:30

not very efficient then we had the GPS

play30:33

which is yeah much easier and still you

play30:36

can play a role but if you don't want

play30:38

then you just go and then you have and

play30:41

you start seeing the self-driving cars

play30:43

so if you project that and you reflect

play30:46

on projects uh my view is that in

play30:49

projects we're still with the maps right

play30:51

and it's not very efficient we don't

play30:54

have yet the GPS and we're far off of

play30:56

the self-driving projects but we should

play30:59

be thinking like that could be the god

play31:01

self-driving projects and what do we do

play31:04

there to add value which I think there's

play31:07

a lot so I'm not just saying we don't

play31:08

need this phone I think we need it and

play31:10

more than before but I think maybe that

play31:13

technology here we're still very early

play31:15

we're still with the paper maps and here

play31:18

just briefly on the data is one the

play31:20

biggest challenges Ricardo if you can go

play31:22

to the next like

play31:24

so you do need data and and if you want

play31:28

to go serious on this the research we've

play31:30

made is around 80 percent of the time at

play31:33

least in the first phase it's about data

play31:35

cleansing data preparation I've I've

play31:39

done that for 50 big projects uh that

play31:42

I'm doing for this machine learning

play31:43

prioritization algorithms and it's it's

play31:46

painful it's not easy for getting data

play31:49

of 90 criterias from cine Opera House

play31:52

Empire State Building and uh but I think

play31:54

in the end once you have that phase what

play31:57

I've seen is that machine learning also

play31:59

learns to fill in the gaps so you don't

play32:01

need to have everything for everything

play32:03

now these algorithms are super smart and

play32:05

they will predict data they will create

play32:08

data based on a good foundation so I

play32:11

think that makes our our job easier and

play32:13

the next slide I think it just talks a

play32:15

bit about

play32:17

questions that we put in the paper of a

play32:20

hardware Business Review

play32:22

um about what you need to consider do

play32:24

you want to embrace AI seriously I think

play32:26

you can read this in the slides but it

play32:29

is an investment it's a project I think

play32:31

we are convinced that this is uh in in

play32:34

the midterm something that we will see

play32:36

everywhere but at the moment it's just

play32:39

Pioneer companies that are investing in

play32:41

this I'm not going to go through all

play32:43

this you can read the slides you can

play32:45

read the paper next slide please and

play32:47

Ricardo

play32:50

um

play32:51

next slide

play32:53

yeah and just to finish before q a so

play32:56

one of the ideas that Ricardo and I have

play32:58

is that we've done a lot we've done a

play33:01

lot of trainings we've trained for big

play33:02

corporates we've done a lot of business

play33:04

school teaching Executive Education

play33:07

um so brainstorming and and for me it's

play33:10

always a passion you know Ricardo shares

play33:12

the same passion of sharing and building

play33:15

better project managers and making

play33:17

everyone more confident and more

play33:18

equipped and and I think there is always

play33:21

the the level of the the training is not

play33:24

always the the highest and Ricardo and I

play33:27

thought that we could develop a master

play33:29

class like the best masterclass in

play33:31

project management

play33:33

um ever bringing or thinking but not

play33:35

only or thinking but some of our

play33:37

contacts that we know in this space and

play33:40

outside this space to kind of like a day

play33:43

or two half days we still don't know the

play33:45

format but I think uh and partner with a

play33:49

business school so that we get an

play33:50

accreditation so that you may can claim

play33:53

that to your business and organization

play33:55

but it's just a very big ambition that

play33:59

we have and and making this the best of

play34:02

the best training uh Master Class maybe

play34:06

we can involve Harvard Business Review

play34:08

so I don't know we just want to create

play34:10

something unique uh talking about this

play34:12

and that leads to also creating a

play34:15

community of high level experienced

play34:18

people so

play34:19

um it's something that is in our minds

play34:21

and we wanted to guess uh there's a

play34:24

small part here to get a bit of feedback

play34:26

whether this would make sense uh to any

play34:29

of you and we'll come back with more

play34:31

details but we don't want to wait too

play34:33

much time we want to do it this summer

play34:34

and have the first four but I think it's

play34:38

part of the sharing that we need to

play34:40

leave behind Ricardo myself and and it's

play34:43

just something that I'm very very

play34:45

excited

play34:46

yeah we we what we we want I will just

play34:50

stop sharing uh um what I want I will

play34:53

look this idea came after the the some

play34:58

ideas and some discussions between

play34:59

Antonio myself and we would love just

play35:01

wondering to hear from you what is your

play35:04

take so we we are asking three questions

play35:07

here about is this something interesting

play35:10

or not at all uh about the duration

play35:12

about the investment just to have a

play35:15

feeling we don't have yet an answer for

play35:18

that so this is why we would love to to

play35:20

hear from you because you have this

play35:22

interest so what do you think about that

play35:25

the answers are Anonymous so if you can

play35:28

just help us to figure out uh uh these

play35:32

uh this uh these aspects uh if this

play35:36

should be something of one day half a

play35:39

day two days or or if you want something

play35:41

different or

play35:43

um it's something that you you don't

play35:45

have interest it's just for us to to

play35:48

feel and and then we will go look

play35:51

Antonio just for your awareness we have

play35:54

60 exact questions okay to be answered

play35:58

so we will have to be a very fast trying

play36:01

to to answer them uh to answer them and

play36:05

if you uh have questions in the audience

play36:08

please just uh just uh uh type your

play36:11

answer we'll try to answer all of them

play36:14

okay I I don't know but we'll do

play36:17

too quickly sorry what I do usually when

play36:20

there's too many questions is what we do

play36:22

is we'll re we'll make a video you and

play36:24

me answering the questions yes

play36:29

we can do that we can do that and what I

play36:32

want is just uh uh uh to uh to respect

play36:36

your uh some of the the questions we

play36:40

received so just some of them are are

play36:42

super interesting so we can we can

play36:45

discuss them uh uh here on this q a

play36:48

before we we come to an end so look I

play36:51

will just finish uh the the the pool so

play36:55

thank you very much for your

play36:57

contribution on on on that uh now

play37:00

Antonio time for questions so okay put

play37:04

here so the the first one uh from najib

play37:09

uh is using AI in project management

play37:13

implies delegating machines all the work

play37:17

that is related to the way of working uh

play37:22

in the PMI competence triangle so are we

play37:25

giving up uh to machines uh the control

play37:29

of that

play37:31

so you can take that or okay no I don't

play37:34

think so you you give a great question I

play37:37

just went through like a 20 and they're

play37:39

amazing and I see Alfonso butter oh no

play37:42

it's nice yeah it's just really great

play37:44

question I don't think so it's like

play37:46

you're driving a car do you give the

play37:48

control to the car well there's some

play37:49

parts the engine you're not going to be

play37:51

running the engine but at the end you're

play37:54

still accountable you're still

play37:55

responsible you're still the one that is

play37:57

going to make the the most important

play37:59

decisions but you're not the one running

play38:01

the machine so partly yes we're going to

play38:04

give some of this heavy duty tasks to AI

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but not the accountability not the

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direction not the decisions so we still

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play a major role uh

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so great question I think yeah and AI is

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improving Antonio but it's not perfect

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at all I use GPT to do uh uh uh to do

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um uh for me um a critical path analysis

play38:33

and it did wrong

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and it was a simple one so you need uh

play38:38

to have Supreme maybe in the future of

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things will will improve but I agree

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completely with you at the end uh you

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are accountable for that okay you use

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the machine to accelerate your your your

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thoughts uh Alfonso uh wonderful to see

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you I I see so many friends here most of

play38:55

the young project managers they believe

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AI will constrain their project

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management career uh and he said I

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explain it that is not true at all but I

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would love to hear your opinion I can

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take this one off phone so I look

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look if you are young and you were

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afraid of AI you have a big problem

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because if you are at the end of your

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career and you are afraid of AI I would

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say oh okay I can unders but if you were

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at the beginning oh my God because we

play39:27

don't know what will happen in 20 years

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so I truly uh believe that uh AI is is a

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game changer I I love Richard davanni uh

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a book about the new Industrial

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Revolution because this is the same

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thing that when I would say people in

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the factories before the Industrial

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Revolution thought that oh I will lose

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my job no

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it's just changing it's just changing

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it's just change and it's already

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changing for example as I said 20 years

play40:02

ago project managers were expected to

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deliver on time on budget you know if if

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the product is irrelevant or useless

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it's not your problem you receive from

play40:12

my sponsor a request and you just

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delivered that these used to be what uh

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the role of the project manager and look

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now so I think AI is a key Ally for

play40:24

example I use you know Antonio the same

play40:26

gave some examples so don't be because

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if you see AI as your enemy then you

play40:35

have two problems you have your problem

play40:38

with perception of AI and AI itself so

play40:41

don't do that okay it's not smart

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uh look um

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do you oh Dave Garrett Dave Garrett do

play40:51

you think AI will have an impact on

play40:53

agile approach the human parts of scrum

play40:56

and Beyond if so wipe might it be

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I love that David and thank you they for

play41:04

being here

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um

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and for what you're doing with PMI I I

play41:08

think that's a great question because we

play41:11

always seen agile AI coming into the

play41:13

traditional predictive project

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management it's also going to be agile

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and all these devops and and I think the

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initial phase so I think yes absolutely

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there's going to be impact in agile and

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it's something that we've not covered

play41:27

very much so I think that it's something

play41:30

that we need to to go a bit deeper but

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definitely I think there is a big

play41:35

opportunity for doing a lot of the scrum

play41:37

work and all the in the end agile is

play41:40

very much related to Tech development

play41:42

right so

play41:43

um I'm sure there will be a very soon

play41:45

that can do all these devops part

play41:47

without any human intervention uh so the

play41:51

agile maybe move somewhere a bit further

play41:54

down the line and I think we started

play41:56

embracing agent in other parts of

play41:57

project management and bigger projects

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while the traditional agile gets done by

play42:02

machine so I love the question Dave I

play42:05

think we need to explore

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yeah I want to add Dave a true example

play42:11

of that okay on on this um I am on the

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board advisor of Vienna it's an Estonian

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um Venture um that connects AI with

play42:21

human performance and mainly for agile

play42:25

works so what what do we do we set up

play42:28

micro rewards based on AI and Technology

play42:33

are based on Trello boards based on jira

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based on kanban boards and the speed you

play42:41

move the tasks and everything like micro

play42:44

rewards and it's not the end of the

play42:47

project bonus but a micro rewards just

play42:50

based on AI so for example you have a

play42:53

this week to accomplish these and this

play42:56

and then based on the way you move on

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Trello on jira you can meet the targets

play43:03

or not and then you can have benefits

play43:05

and the benefit if it could be something

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like a ticket to the to the movie

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theater you know a donation uh to the

play43:13

victims of uh the war or whatever so

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these kind of micro and this is all AI

play43:19

based because the AI takes a look on the

play43:23

whole stream of the Sprint and create

play43:27

incentives to make sure that you deliver

play43:29

your Sprint on time this is just a a

play43:32

real example of happening today and this

play43:35

is just one I I can give you another 300

play43:39

different examples of that okay uh so

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look

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um uh Federico from Rome uh any in near

play43:47

initiative to evaluate actual or near

play43:50

future maturity of AI tools uh

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supporting pm

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Federico good to see you I'm just going

play43:59

through the questions and they're

play44:00

amazing this is really the source for

play44:03

another article more work because they

play44:05

are not just

play44:07

um they're not superficial questions the

play44:09

questions that you are all put in here

play44:12

are deep questions I think that that's

play44:13

great and Federico to your question I

play44:16

think I've not seen there's maturity in

play44:18

I.T the CMM model that we all saw 20

play44:21

years ago so but I've not seen it

play44:23

applied yet to Ai and not along for

play44:26

project management so to be honest I

play44:29

don't I've not seen anything and I think

play44:31

there's a sense for that maybe on the

play44:34

maturity of your data it could be a

play44:37

starting point but it's a great point to

play44:40

further analyze further work on the

play44:42

maturity of AI and project management

play44:44

definitely an area to explore and thank

play44:48

you Federico for the great question I'm

play44:50

just impressed Ricardo yeah yeah it's so

play44:53

many now we have more than a hundred

play44:55

okay

play44:59

yeah let's take two more and then we are

play45:02

done okay Marshall uh talking about AI

play45:06

implemented at the pmo guide look I I

play45:09

don't work for PMI of course I know the

play45:12

pmbok very well but remember uh you said

play45:15

Marcio that it would be a new specific

play45:17

area of knowledge and I just want to

play45:20

remember that pmx7 there is no knowledge

play45:22

area anymore and the PM box 7 already

play45:26

considered many of these aspects of

play45:29

Technology already on it so if you ask

play45:32

me it's not

play45:34

AI uh uh everything AI but there is a

play45:39

lot of things on the current PM box that

play45:42

are already covering Ai and I don't

play45:45

believe that you need a new PM box just

play45:47

for AI because then we need another PM

play45:50

box just for Conflict Management another

play45:53

PM box so I think AI goes on on the top

play45:56

of that okay and and now maybe uh uh

play45:59

maybe for uh for you here let me uh

play46:03

Chris

play46:04

um AI can only predict success if they

play46:07

are given the right data but the data is

play46:10

so historic and does not reflect the

play46:13

future and narrow networks are as biased

play46:17

as we are we don't yet have the right

play46:20

data being collected so that is the same

play46:24

challenge we face without AI how do you

play46:27

see the collection of clean data

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improving when will this happen great

play46:33

question Chris Antonio

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okay Chris from Bahrain it's always good

play46:39

to see you and I know you've been

play46:40

working on this I think I think that

play46:43

what you're stating there wasn't my

play46:45

belief all the time about the importance

play46:47

of data data and cleansing what I've

play46:49

seen and this is confirmed by the

play46:51

professor Paul from uh from Canada is

play46:54

that the new versions of AI are much

play46:57

smarter in terms of data so some of the

play47:00

gaps that we had can be can be overcome

play47:04

with the recreation of data and and it's

play47:08

not this solution it's not going to

play47:09

solve it I don't see AI taking our

play47:12

decision which is still very flawed

play47:15

anyway today if you see the the poll the

play47:18

the poor success rate that we have in

play47:20

projects I see it as a compliment this

play47:23

is another opinion so it's now never

play47:26

going to be perfect but it's a voice

play47:28

that we need to listen because this is

play47:30

data we always talk about Knowledge

play47:32

Management we talk about Lessons Learned

play47:34

in project management they're not used

play47:36

today they're not used so I think AI can

play47:40

help with that and and make us better

play47:42

decision makers but indeed there's still

play47:46

a gap in like Ricardo said AI is not

play47:49

perfect and will not be perfect in the

play47:51

next years but we don't need to

play47:53

disregard it just for that

play47:55

thank you yeah absolutely let me just

play47:58

add before we we close

play48:00

um look at Chris I agree with you but I

play48:03

want just to to raise one point with you

play48:05

have you thought about AI trying to plan

play48:09

and predict projects with no historical

play48:12

information

play48:14

unsupervised learning

play48:16

because I saw people already trying to

play48:19

study this it's trying to break

play48:21

everything for example you built a a for

play48:24

example a building

play48:26

uh and you use historical information

play48:29

but have you tried to use Ai and say

play48:31

look AI please try an error uh

play48:34

interactive to find the best way of

play48:37

building a building sometimes it comes

play48:40

with absolutely surprising and this for

play48:42

example I I started looking this when I

play48:45

saw the AI uh

play48:47

no um Alpha go from deepmind where the

play48:52

the player of goal is started that the

play48:55

machine started playing completely

play48:57

different from the way a player plays

play49:00

because it it was never a play before so

play49:04

it didn't learn something like you learn

play49:06

basic moves no for stride and error so

play49:10

these Chris could be an absolutely

play49:13

disruptive future for many many projects

play49:16

okay and chat GPT is is one of the

play49:19

things using this to generate code for

play49:22

you look we we don't have much time I I

play49:25

just want to share our final slides so

play49:28

uh it's one Antonio one mind and the

play49:31

other one with the the QR code so uh

play49:35

Antonio uh

play49:40

you can you know where to find us I

play49:43

think the LinkedIn newsletter is

play49:44

something that I I try to cover these

play49:47

new topics the the certification on

play49:49

Project practitioner you you'll get the

play49:51

slide so I don't want to bother with

play49:53

with my stuff you get their summary

play49:56

um and where to connect later on perfect

play49:59

and for me I just want to to tell you I

play50:02

just released it yesterday my new

play50:04

newsletter called Beyond hype and and

play50:07

this is a very personal project for me

play50:09

it's it's something that I share my

play50:11

questions my concerns and and if you

play50:13

want to subscribe both on on my website

play50:16

and also on LinkedIn okay and this is

play50:19

the final contact information for

play50:22

Antonio we we are very both very easy to

play50:25

reach okay we we are on LinkedIn and we

play50:28

are very open on the network and on that

play50:31

uh button here you see the QR code to

play50:35

download the presentation so you can

play50:37

download all these slides by using this

play50:40

QR code or if you want you can use the

play50:43

same link that you use to register for

play50:45

this webinar are r r v a r g dot a s

play50:50

slash a IPM I just redirected directly

play50:55

to the slide deck okay so you can

play50:58

download and you can revisit so Antonio

play51:00

my friend thank you very very much for

play51:05

the partnership you know it's always a

play51:07

pleasure working with you we will record

play51:10

uh some answers uh to uh to the

play51:14

questions uh you raised and we'll

play51:16

publish them Antonio thank you very much

play51:19

for your time okay and see you all in a

play51:22

future time okay thank you very much

play51:24

bye-bye everyone

play51:26

have a good weekend