The IIL Blog

JANUARY 3, 2024

By Ruchi Gupta and Cyndi Snyder-Dionisio These days you can’t escape the topic of Artificial Intelligence…it has pervaded social media posts, the evening news, and everyday conversations – to a level rivaled only by the launch of the internet itself. Think of it like the human brain, it has the overall capacity for intelligence.

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Digite

SEPTEMBER 20, 2018

However, it is our belief that Artificial Intelligence (AI) and Machine Learning (ML) will be the key technologies that will propel organizations through the Digital Transformation. Artificial Intelligence is not something new. This data is essential to help AI systems learn and make decisions.

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Rebel’s Guide to PM

NOVEMBER 16, 2023

If you are like many project professionals, you have likely worked with artificial intelligence (AI) in some capacity. For project professionals, we recommend exploring AI tools by first understanding what project tasks and deliverables can be automated easily and without risk.

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The IIL Blog

NOVEMBER 6, 2024

Let’s explore the future of risk management in the age of AI. Risk management, a field traditionally rooted in human judgment, expertise, and data analysis, is undergoing a profound transformation. Artificial intelligence is emerging as a transformative force. The answer is not “yes and no”.

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Rebel’s Guide to PM

OCTOBER 10, 2023

The tool library covers tools, plugins and resources you can use for planning, time and cost management, risk management , workflow management, prototyping and more. There is no analysis presented about which tool is better for project managers. Alternative AI training courses Introduction to Artificial Intelligence (IBM).

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Rebel’s Guide to PM

OCTOBER 29, 2022

I review a lot of PM software tools and there are companies now making massive leaps into integrating big data, automations, machine learning and more into the way they collate, present and make it possible to use large data sets. Blockchain Artificial intelligence Human/machine collaboration Mobile Remote access.

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The IIL Blog

NOVEMBER 8, 2023

Portfolio management extends beyond the realms of definition and delivery; it now encompasses the potential of Artificial Intelligence (AI) to refine prioritisation, long-term forecasting, and strategic management. Predictive Analytics: AI-driven predictive models forecast project success and impact. Dr. Elissa Farrow, Ph.D.

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MPUG

OCTOBER 15, 2024

Over the past decade, the landscape of project management has been significantly influenced by the rise of Agile methodologies and the advent of Artificial Intelligence (AI). Risk Management : Identifying, assessing, and mitigating risks are vital to safeguarding project objectives. This is a misconception.

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Rebel’s Guide to PM

MARCH 18, 2021

Assumption log Risk register Backlog (see, agile project artifacts are relevant too) Stakeholder register. Work breakdown structure Product breakdown structure Organizational breakdown structure Risk breakdown structure. You can grab the set I use here. These documents represent a set of continuously evolving documents.

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Rebel’s Guide to PM

MAY 4, 2021

It will be something we see more of and it will lead into other trends – for example, driving data analysis and giving recommendations for decisions. They talk about the impacts as: providing business insights, risk management, human capital optimisation, action taking and active assistance.

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Rebel’s Guide to PM

FEBRUARY 7, 2022

Project management requires a supreme amount of emotional intelligence and critical thinking. This role will be one of the last to be automated as artificial intelligence and machine learning creep up the employment ladder. And, “Her risk management plans were to die for”?

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Epicflow Blog

NOVEMBER 25, 2024

Business organizations can apply the data-driven approach to make decisions regarding customer needs, market trends, addressing risks, dealing with internal processes, etc. A proactive approach to risk management can help you mitigate the negative impact of risks and take advantage of opportunities they may offer.

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Epicflow Blog

OCTOBER 21, 2024

The manufacturing industry faces numerous challenges that can affect the success of manufacturing project s, from supply chain issues to risks related to digital technology integration. Risk and Uncertainty. These risks require the closest attention and purposeful risk management efforts. Using technologies.

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MPUG

MAY 6, 2024

In Part 1 of Effective Use of Artificial Intelligence Tools , we explained AI and its uses for predictive analysis in Project Management. Natural Language Processing (NLP) One of the key AI applications is automating document analysis, particularly in the critical phases of requirements gathering and stakeholder communication.

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The IIL Blog

AUGUST 30, 2023

But perhaps the most important responsibility was supporting the project team in risk mitigation efforts when necessary. Today, with the growth in artificial intelligence (AI), the position of the PO for legal may return but may be called the PO for Ethical AI.

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The IIL Blog

SEPTEMBER 26, 2024

By Luigi Morsa and Richard Maltzman Introduction In a former article on this Blog, we discussed how Artificial Intelligence (AI) software intersects with Project Management [1]. Traditional project management is often seen as standardized processes for planning, scheduling, controlling and (sometimes) risk management.

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Epicflow Blog

AUGUST 5, 2021

Let’s consider what impact artificial intelligence will have on the existing jobs. . What Are the Types of Artificial Intelligence? AI, artificial intelligence, is the simulation of human intelligence by machines: they are programmed to perform human tasks, think like humans, and mimic other human actions.

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International Institute for Learning

SEPTEMBER 21, 2022

Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). To augment human capacity – artificial intelligence evolution through causal layered analysis. The Impact of Artificial Intelligence on the Activities of a Futurist.

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International Institute for Learning

SEPTEMBER 20, 2022

Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). To augment human capacity – artificial intelligence evolution through causal layered analysis. The Impact of Artificial Intelligence on the Activities of a Futurist.

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Artificial Inteligence Prince2 2022 Technical Review 97

ProProfs Project Management

MAY 16, 2019

The advent of artificial intelligence (AI) has raised various questions and theories among people. Among other things, DevOps team members rely heavily on information analysis. Pros and Cons of Artificial Intelligence in IT Project Management Pros of AI Project Management. Right from “whether AI is ethical?”

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International Institute for Learning

DECEMBER 7, 2022

In the past five years, there have been numerous articles discussing how Artificial Intelligence (AI), can and will benefit the field of project management. Risk Management. Some degree of “humanness” must exist in all risk analyses activities. However, implementation of AI is not free of risks and challenges.

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Project Accelerator News

JANUARY 15, 2025

Seven in 10 project managers have benefited from the implementation of artificial intelligence, finds latest APM survey Artificial intelligence is improving outcomes for the majority of project managers, a new survey by the Association for Project Management (APM), the chartered membership body for the project profession has found.

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Kiron Bondale

JUNE 2, 2019

This choice might surprise some of my readers, especially given how much I’ve written about Project Risk Management. Advances in machine learning and artificial intelligence will negatively impact many current jobs. I don’t worry too much about the project management profession.

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The IIL Blog

FEBRUARY 21, 2024

By Cynthia Snyder Dionisio There are a multitude of ways we can use artificial intelligence (AI) to help us manage projects. “ It sounds confident in its data analysis capabilities, but let’s look under the hood and see what is involved in “transforming the vast and chaotic landscape of information”. A valid question.

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The IIL Blog

OCTOBER 24, 2023

In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Indeed, Artificial Intelligence is not really new. Risk Management. Active Assistance. Lohr, “ The A.I.

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NimbleWork

OCTOBER 11, 2024

Artificial Intelligence (AI) is becoming a pivotal force in project management, transforming how organizations handle tasks such as scheduling, resource management, and risk assessment. Also, the market for Artificial Intelligence (AI) is anticipated to experience substantial expansion, ascending from a value of USD 214.6

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MPUG

MARCH 15, 2024

Understanding AI in Project Management Artificial intelligence (AI) is all the rave. AI operates through complex algorithms and data analysis to simulate human intelligence in machines. At its core, AI involves the creation of machine learning (ML) models, which are trained using vast amounts of data.

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The IIL Blog

NOVEMBER 8, 2023

By Alan Zucker November 8, 2023 Artificial Intelligence (AI) will transform project management. could simplify creating the project schedule and documenting underlying assumptions, constraints, and risks. Knowledge-work projects tend to be more unique and require more work to model. I say, “Bring it on!”

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Inloox

APRIL 16, 2024

Content What is a SWOT analysis? SWOT analysis in the project management context Why should I conduct a SWOT analysis? How to perform a SWOT analysis Once the SWOT analysis is completed: 5 key approaches for strategy development Concrete example: SWOT analysis in a software development project Conclusion 1.

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The IIL Blog

DECEMBER 11, 2024

Risk Identification and Response Project management software can help you chart and visualize your SWOT analysis (strengths, weaknesses, opportunities, and threats) and communicate the whole picture in a clear, digestible way to all stakeholders, clients, customers, partners, and your internal team [5].

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Rebel’s Guide to PM

JANUARY 24, 2022

Model the environment you want to create. Artificial intelligence and RPA. They will be expected to integrate AI capabilities in their project management styles and give more emphasis on their emotional intelligence and soft skills like ideation, communication, and problem-solving skills. What you can do. What you can do?

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ProjectManager.com

MARCH 6, 2024

Tableau is an analytics platform that allows organizations to visualize their data on powerful yet user-friendly data analysis charts and diagrams powered by machine learning, natural language processing and predictive analytics. Having said this, here are some of the key disadvantages of making a Gantt chart in Tableau.

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The IIL Blog

FEBRUARY 28, 2024

By Jorgelina Bross-Puglisi February 28, 2024 Project Managers Have One Key Goal: Project Success By integrating risk management into project management processes, project managers can anticipate and respond to potential challenges, increasing the likelihood of project success. So why not ask AI to give us a hand?

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Scrum.org

MAY 24, 2023

Below are the previous articles in the series Stakeholder Exploration Stakeholder Analysis & Mapping Stakeholder Communication Strategy All the above steps are fundamental to having a sound Stakeholder Engagement strategy. For example, Artificial Intelligence has changed the way people are building products.

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The IIL Blog

OCTOBER 24, 2023

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management.

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Rebel’s Guide to PM

JULY 20, 2023

Some examples of the project delivery artifacts that fall into this category that I use to manage my own projects at work include: Assumption log Actions log Decision log Risk register Issue log Change log Backlog (see, agile project artifacts are relevant too) Stakeholder register These documents represent a set of continuously evolving documents.

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Epicflow Blog

AUGUST 30, 2024

With this purpose, MOM involves the analysis of each stage in the production process to make sure that they are maximum efficient, and their costs are minimized. The purpose of inventory management is to make sure that the right material resources are available when needed, minimize storage costs, and reduce the risk of stockouts.

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