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. Intelligent Scheduling The need to develop a competent schedule is not new. One of the profound applications of AI in this domain is through AI-powered risk analysis tools.

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ProjectManager.com

SEPTEMBER 27, 2023

The term smart manufacturing was first used in the mid-2000s as new technologies such as 3D printing or additive manufacturing and artificial intelligence became more prominent. Smart factories have a basic structure of data acquisition, data analysis and intelligent factory automation.

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MPUG

JUNE 23, 2024

The image above is from ChatGPT 4o with a prompt of “draw me an AI graphic for effective use of artificial intelligence tools.” Risk Identification As a check, we used AI to provide a list of risks associated with developing embedded products with a team distributed across the globe.

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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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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. There are numerous university and private sector companies offering training programs for projects managers. Harold Kerzner. Introduction. Educating Project Managers.

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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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Scrum.org

AUGUST 20, 2024

Principles of Strategic Product Management Artificial Intelligence (AI) and Machine Learning (ML) The two fields that are advancing at a fast rates are artificial intelligence (AI) and Machine Learning (ML). This led to higher complexity, cost of operations, confusion and risk.

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Rebel’s Guide to PM

OCTOBER 10, 2023

If you’ve been on LinkedIn recently, you’ve probably seen someone in your network sharing that they have earned the Generative AI Overview for Project Managers badge by completing a PMI training course. Alternative AI training courses Introduction to Artificial Intelligence (IBM). Is the course worth your time?

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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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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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ProProfs Project Management

MAY 16, 2019

The advent of artificial intelligence (AI) has raised various questions and theories among people. But, if they previously used specialized tools designed by app development companies for these purposes, it is best to use artificial intelligence (AI) for analytical purposes. Right from “whether AI is ethical?”

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Techno-PM

AUGUST 10, 2021

What is Artificial Intelligence? Artificial intelligence, also known as AI, refers to the idea of building machines that can perform tasks that would normally require human intelligence. Artificial intelligence is a trending topic today. How can Artificial intelligence help project managers?

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Techno-PM

AUGUST 10, 2021

What is Artificial Intelligence? Artificial intelligence, also known as AI, refers to the idea of building machines that can perform tasks that would normally require human intelligence. Artificial intelligence is a trending topic today. How can Artificial intelligence help project managers?

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The IIL Blog

JUNE 12, 2024

Integration of Advanced Technologies In the realm of project management, 2024 heralds a deeper integration of emerging technologies like artificial intelligence (AI), machine learning (ML), and automation. is Senior Executive Director at the International Institute for Learning, Inc., Harold Kerzner, Ph.D.

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ProjectManager.com

NOVEMBER 14, 2024

Data-Driven Decision Making While project managers have always applied data to their decision-making, the more accurate, real-time insights and tools that have become available are influencing them with increased objectivity, proactive risk identification and predictive analytics.

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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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Epicflow Blog

AUGUST 12, 2024

Like in other industries, digital transformation in manufacturing sector involves leveraging such technologies as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), additive manufacturing, augmented and virtual reality (AR/VR), etc. Artificial Intelligence and Machine Learning.

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The IIL Blog

JUNE 7, 2023

The focus of this paper is to discuss some of the challenges facing the linkage between artificial intelligence (AI), project management, and stakeholder relations management. Senior Executive Director, International Institute for Learning Dr. Harold D. Stakeholder Relations Management; John Wiley Publishers. Kerzner, Ph.D.,

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The IIL Blog

DECEMBER 13, 2023

Integration of Advanced Technologies: In the realm of project management, 2024 heralds a deeper integration of emerging technologies like artificial intelligence (AI), machine learning (ML), and automation. Kerzner is Senior Executive Director at the International Institute for Learning, Inc., Dr. Harold D.

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International Institute for Learning

APRIL 5, 2023

INTRODUCTION During the past several years, we have seen dramatic improvements in artificial intelligence (AI). Some of the risks facing project management organizations are presented in the sections that follow. AI legislation can be expected to impact how project teams might try to mitigate certain types of project risks.

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EasyProjects

OCTOBER 23, 2019

Artificial Intelligence vs Machine Learning. Let’s go over the differences between AI and machine learning, because they’re not the same. Artificial Intelligence is a subset of computer science dedicated to solving problems that previously, only humans could. What Project Managers Need to Know.

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International Institute for Learning

FEBRUARY 15, 2023

By Dr. Elissa Farrow and Dr. Harold Kerzner Introduction Artificial Intelligence (AI) applications have become a major interest of the project management community of practice worldwide. How many organisations had a pandemic affecting operations on their 2019 risk registers? Dr. Harold Kerzner, Ph.D. Kerzner, Ph.D.,

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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”? 15: Invest in Training.

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Productivity Land

JANUARY 4, 2024

From automation and cloud computing to artificial intelligence and cybersecurity, each aspect of technology plays a vital role in shaping the success trajectory of modern enterprises. Personalized customer experiences Risk mitigation, minimized losses, and more resilient business operations. Remote and efficient collaboration.

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Epicflow Blog

AUGUST 12, 2024

Like in other industries, digital transformation in manufacturing sector involves leveraging such technologies as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), additive manufacturing, augmented and virtual reality (AR/VR), etc. They provide the following benefits to manufacturers.

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Inloox

APRIL 16, 2024

Assessment of threats It draws attention to potential external risks and threats that could negatively impact the project. This knowledge enables the project team to develop and implement risk management strategies to avoid potential obstacles or mitigate their impact.

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Teamweek

JULY 27, 2022

That’s because artificial intelligence, machine learning, and automation technologies are helping recruiters win the race for top talent by taking their talent pipeline to the next level. 5 Ways AI Recruitment Automation & Machine Learning Is Making the Recruiting Process Smarter.

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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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Epicflow Blog

MARCH 16, 2023

According to Gartner , by 2030, 80% of project managers’ tasks will be run by AI, powered by big data, machine learning (ML), and natural language processing. The role of artificial intelligence is especially essential in a changing multi-project environment with a shared resource pool. But is this really so?

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MPUG

NOVEMBER 20, 2023

With Microsoft 365 Copilot you are working with your company data and a Large Language Model or LLM for short (based on ChatGPT 4). None of the information is used to train future models of the LLM, making it a safe way to communicate with the solution. Write it in a formal manner.

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Wrike

JULY 23, 2023

Risk mitigation plays a vital role in ensuring the success and stability of any business. By identifying potential risks and implementing strategies to minimize their impact, companies can protect their assets, reputation, and bottom line. Moreover, risk mitigation enables businesses to build resilience and adaptability.

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Productivity Land

DECEMBER 11, 2023

The logistics industry is the train that connects trade and development globally. We will also show how technological solutions like automation, artificial intelligence and blockchain can revolutionize how goods are moved and managed to meet customer demands of precision, speed, and adaptability. from 2023 to 2030.

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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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Rebel’s Guide to PM

MAY 4, 2021

They talk about the impacts as: providing business insights, risk management, human capital optimisation, action taking and active assistance. Lela: Projects are done by people, not by machines and apps – at least for now! Amr Alaa @amralaa99: We are using artificial intelligence, but at the end it depends on human interaction.

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Wrike

JUNE 11, 2023

Organizations face a wide range of risks that can impact their operations, reputation, and financial stability, such as economic uncertainties, regulatory changes, natural disasters, cyber threats, and even human errors. To navigate through these potential risks successfully, companies need robust risk management systems in place.

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PM That Works

APRIL 5, 2024

Chapter 12 of my book "Project Management That Works" presents a narrative on risk assessment, a process traditionally encumbered by subjective judgments and cumbersome methodologies. I presented a way to turn lessons learned into a risk assessment that could provide actionable insights.

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International Institute for Learning

APRIL 19, 2023

One such technology is artificial intelligence (AI), which enables machines to learn from experience and make decisions based on data. Additionally, providing training and support for employees to adapt to using AI tools can alleviate fears and improve acceptance.

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