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. Was there any trademark associated with the design?

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Artificial Inteligence Software Review 2023 Technical Review 137

Inloox

APRIL 16, 2024

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. Assessment of threats It draws attention to potential external risks and threats that could negatively impact the project. What is a SWOT analysis?

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Artificial Inteligence Underperforming Technical Team Technical Review Development Team Review 100

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. Examples of AI use include Alexa, Siri, Amazon’s product recommendations, dating apps and fitness trackers. Risk Management. Harold Kerzner. Introduction.

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Artificial Inteligence Technical Review 2022 2020 96

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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Artificial Inteligence 2025 Technical Review Software Review 98

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. One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly.

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Artificial Inteligence Technical Review ChatGPT Generative AI 88

Rebel’s Guide to PM

OCTOBER 10, 2023

Lab: This section includes examples of how to use it, with sample tasks and the ChatGPT output created. The tool library covers tools, plugins and resources you can use for planning, time and cost management, risk management , workflow management, prototyping and more. Register for the course and go through the checkout process.

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Generative AI PMI Artificial Inteligence Technical Review 302

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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Artificial Inteligence Underperforming Technical Team Software Review Risk Management 86

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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Artificial Inteligence 2025 Technical Review Software Review 52

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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ChatGPT Generative AI Artificial Inteligence PMI 471

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. Moreover, if a decision is offered that impacts human life, what process is needed to validate this (we’ll cover this subject in a future article).

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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. Take Otter , for example, the online transcription tool I use for managing meeting output.

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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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International Institute for Learning

MARCH 1, 2023

By Monica Lopez Since entering into public consciousness in November of last year, news continues unabated about generative artificial intelligence (AI) and ChatGPT in particular. In practice, this can be in the manner of, for example, setting rules of engagement. So, what does this have to do with thought leadership?

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Artificial Inteligence Leadership ChatGPT 2023 52

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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Artificial Inteligence Technical Review 2030 Software Review 40

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. 24/7 round-the-clock productivity.

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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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Artificial Inteligence Technical Review Risk Management Risk 65

Planview

AUGUST 22, 2023

Applying machine learning to project management challenges can pave the way for smarter, more efficient, lower-risk projects and higher-quality products. An example is when a stoplight status field never fails to read green until it’s obvious to everyone involved that it should have been flashing red for some time.

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Rebel’s Guide to PM

MARCH 18, 2021

For example: a project management artifact is the project closure document. For example, an estimate is the obvious output of the estimating process, so estimates aren’t mentioned again as a separate project artifact. Assumption log Risk register Backlog (see, agile project artifacts are relevant too) Stakeholder register.

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Logistics Artificial Inteligence PMI Performance Measurement 509

ProjectManager.com

SEPTEMBER 27, 2023

Is your smartphone really that intelligent or is it just an example of advanced technology? Let’s review smart manufacturing and smart factories and explore some examples of smart manufacturing technologies. The goal is to increase the efficiency of manufacturing processes. Learn more What Is a Smart Factory?

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Manufacturing Artificial Inteligence Software Review Technical Review 331

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.

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Artificial Inteligence Software Review Risk Management 2030 52

The IIL Blog

MARCH 20, 2024

For example, project scheduling, notetaking, research, and documentation can be performed by or enhanced with AI. Skills such as empathy, emotional intelligence, social intelligence, adaptability, creativity, and communication will become more important. These are areas that artificial intelligence can’t replicate.

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Artificial Inteligence Technical Review 2030 2025 88

Wrike

SEPTEMBER 3, 2023

Business Process Management (BPM) is a crucial concept in today’s fast-paced business landscape. The Basics of Business Process Management Business Process Management (BPM) refers to the systematic approach that organizations adopt to manage and optimize their business processes.

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Artificial Inteligence Process Technical Review Monitoring 36

Rebel’s Guide to PM

JULY 20, 2023

For example: a project management artifact is the project closure document. For example, an estimate is the obvious output of the estimating process, so estimates aren’t mentioned again as a separate project artifact. Here are some examples: Budget baseline Milestone schedule Scope baseline Performance measurement baseline.

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Logistics Artificial Inteligence PMI Performance Measurement 258

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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Artificial Inteligence Technical Review Risk Underperforming Technical Team 36

Epicflow Blog

JANUARY 14, 2021

Apart from risks, project management is full of uncertainties that can’t be predicted. For example, they still focus on strict schedules instead of priorities, they tend to estimate the time for task accomplishment and establish deadlines for every assignment and use task buffers. Let’s try to find an answer to this question.

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Artificial Inteligence Underperforming Technical Team Software Review Project Life Cycle 98

Wrike

SEPTEMBER 3, 2023

This is where Business Process Management (BPM) comes into play. BPM is a systematic approach that enables companies to analyze, design, implement, and continuously improve their business processes. It involves analyzing the existing processes, identifying areas for improvement, and implementing changes to streamline operations.

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Artificial Inteligence Process Technical Review Software Review 36

Wrike

JUNE 11, 2023

Risk management has become an integral part of organizational success. Effective risk management allows businesses to identify potential threats, assess their impact, and implement strategies to mitigate or avoid them altogether. By doing so, companies can safeguard their assets, reputation, and long-term viability.

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Artificial Inteligence Risk Management Risk Healthcare 36

UPQODE

MARCH 17, 2023

One such cutting-edge technology that has taken the marketing industry by storm is Artificial Intelligence (AI). AI-powered marketing not only streamlines processes but also provides invaluable data insights to make informed decisions. Ai marketing is the use of artificial intelligence technology to automate marketing tasks.

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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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Artificial Inteligence PMI 2021 PMO 476

Wrike

SEPTEMBER 2, 2023

One powerful tool that organizations can leverage to drive this transformation is process innovation. In this article, we will explore the concept of process innovation and its importance in business, the role it plays in driving transformation, the steps to implement it, overcoming challenges, and measuring its impact.

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Innovation Artificial Inteligence Process Technical Review 36

Scrum.org

MAY 15, 2023

Examples of tasks : Provide tips for facilitating effective Sprint Planning meetings. Design a Sprint board considering the following [your process information]. Suggest resources for continuous learning and improvement as a Scrum Master. Examples of tasks : List best practices for Product Backlog refinement.

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ChatGPT Technical Review SCRUM Artificial Inteligence 189

International Institute for Learning

APRIL 19, 2023

AI-driven tools have allowed product managers to work more efficiently and effectively by streamlining processes, eliminating repetitive tasks, and allowing for better decision-making. One such technology is artificial intelligence (AI), which enables machines to learn from experience and make decisions based on data.

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Artificial Inteligence Leadership Innovation Healthcare 59

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. Let’s get started with the process of making a Gantt chart.

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Software Review Construction Artificial Inteligence Software 337

Taskque

DECEMBER 30, 2019

Artificial Intelligence is disrupting every industry you can think of and project management is no exception to this rule. 2- Risk Management. Every project has risks, interdependencies, and uncertainties attached to it. AI system will alert you of potential risks by analyzing real-time and historical project data. .

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Epicflow Blog

JANUARY 30, 2024

Diverse Applications of Artificial Intelligence The application of artificial intelligence (we also include here machine learning, automation, predictive analytics, and generative AI) is gaining momentum in the project management landscape, revolutionizing the ways projects are planned and managed.

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TechEmpower - Project Management

JULY 24, 2023

Can you provide specific examples of different types of customers, what they need, and what the system will do for them? What are some examples of similar brands? What do you see as your biggest risks and challenges? For example, you might want to offer a discount to a given group to provide incentive. Free trials?

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Innovation CTO Hire Fractional CTO Technical Review 208

LiquidPlanner

AUGUST 2, 2022

In this age of AI (Artificial Intelligence) and the virtual digital assistant, this is more appropriate, I feel. Here is just one example: . Tomorrow’s leaders will instead be those that embrace collaborative intelligence, transforming their operations, their markets, their industries, and—no less important—their workforces.”.

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Technical Review Artificial Inteligence Software Review PMO 158