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The AI Revolution in Project Management: Elevating Productivity with Generative AI
Citizen Development: The Handbook for Creators and Change Makers
A Guide to the Project Management Body of Knowledge: PMBOK 7th Edition 2021
PMP Project Management Professional Exam Study Guide ![]()
Microsoft Project Step by Step
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Microsoft Project
Managing Enterprise Projects: Using Project Online and Microsoft Project Server
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Citizen Development: Bridging the AI Gap in Project Management: Why It Matters and What to Do
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(Notional data - NOT fact based)
Listen to Deep-Dive Podcast from HERE
Bridging the AI Gap in Project Management: Why It Matters
and What to Do
In recent years, artificial intelligence (AI) has
moved from futuristic buzzword to tangible game-changer—reshaping industries,
customer experiences, and even how organizations structure their day-to-day
operations. Yet, amid all this rapid innovation, there’s a growing reality: Project
Managers are often left behind in adopting and understanding these
transformative tools.
A notional look at AI’s rapid ascent compared to
project managers’ slower adoption highlights the crux of the issue. While AI
grows at an exponential pace - like a tech rocket fueled by Moore’s Law - Project
Managers may only be tiptoeing into the basics of AI. Although the exact
numbers behind this gap can vary by company or industry, the concept
remains consistent: the wider this divide, the more potential value gets lost.
The Widening Divide: It’s About More Than Just Tools
It’s tempting to blame a lack of technical training
or insufficient budgets. But the gap also reflects organizational culture,
change management challenges, and mindset:
- Exponential
Growth vs. Linear Adoption
AI tools and platforms evolve at a staggering rate, releasing new features
and breakthroughs much faster than most teams can adapt or even
understand. - Fear
of the Unknown
For many Project Managers, AI can feel like an entirely separate
domain—one requiring advanced data science skills. This often results in hesitation
to explore or champion AI-driven solutions. - Competing
Priorities
PMs already juggle deadlines, resources, risk assessments, and stakeholder
communications. Without clear incentives or a culture of innovation,
adopting AI can slip down the priority list.
Why This Matters: Lost Opportunities & Competitive
Edge
Each quarter that passes without seriously embedding AI
into project management practices is a missed opportunity. From streamlined
scheduling to predictive analytics that spot issues before they
escalate, AI can:
- Automate
time-consuming tasks (resource allocation, repetitive updates, etc.).
- Provide
predictive insights for better risk management.
- Foster
data-driven decision-making that aligns daily operations with
strategic goals.
Organizations that embrace AI in project management not only
speed up time-to-market for new initiatives but also deliver projects
with fewer surprises and more targeted resource usage. In a marketplace
that prizes agility and innovation, any ongoing delay in catching up with AI
can put a company behind its competitors.
The Call to Action: Elevate Your PM Skills
For Project Managers who sense this gap—and for
organizations aiming to thrive—there’s a clear next step:
- Invest
in AI-Focused Training: Seek out “AI in Project Management” courses,
workshops, and certifications. These programs demystify AI tools, offering
PMs hands-on experience and practical strategies. We suggest this course; "AI Essentials for Project Managers".
- Champion
a Culture of Experimentation: Encourage project teams to pilot AI
solutions in small projects, share learnings openly, and celebrate both
successes and “teachable” failures.
- Collaborate
with AI Specialists: Partner PMs with other thought leaders
to integrate new capabilities seamlessly and drive faster adoption. We suggest this LinkedIn Group; "AI in Project Management".
Bridging the AI gap isn’t just a technological challenge - it’s
about empowering people to harness breakthroughs that are already
reshaping the business landscape. Whether or not you have precise data points
or charts to reference, the message is the same: Act now to ensure your
project teams are poised to leverage AI’s full potential - and avoid
getting left behind in the race for innovation.
Note: You may find this training course of value:
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Posted by webadmin on Sunday, January 26 @ 10:35:45 EST (104 reads)
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Citizen Development: AI is NOT Just ChatGPT: Exploring the Diverse World of Artificial Intelligence
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AI is NOT Just ChatGPT: Exploring the Diverse World of
Artificial Intelligence Watch this video HERE
When people think of artificial intelligence (AI), many
immediately picture ChatGPT, the conversational AI developed by OpenAI. While
ChatGPT is a remarkable example of AI’s capabilities, it represents just one
facet of a vast and diverse field. AI encompasses a wide range of technologies
and applications that extend far beyond chatbots and conversational agents.
The Breadth of AI Applications
AI is a multidisciplinary field that integrates computer
science, mathematics, engineering, and cognitive science to create systems
capable of performing tasks that typically require human intelligence. These
tasks include learning, reasoning, problem-solving, perception, and language
understanding. Here are some key areas where AI is making a significant impact:
- Healthcare:
AI is revolutionizing healthcare by enabling early diagnosis and
personalized treatment plans. Machine learning algorithms analyze medical
images to detect diseases like cancer at an early stage. AI-powered
systems also assist in drug discovery, predicting patient outcomes, and
managing healthcare records efficiently.
- Finance:
In the financial sector, AI is used for fraud detection, algorithmic
trading, and risk management. AI systems analyze vast amounts of data to
identify patterns and anomalies that may indicate fraudulent activities.
Additionally, AI-driven trading algorithms can execute trades at high
speeds and optimize investment strategies.
- Manufacturing:
AI enhances manufacturing processes through predictive maintenance,
quality control, and supply chain optimization. By analyzing data from
sensors and machines, AI can predict equipment failures before they occur,
reducing downtime and maintenance costs. AI also ensures product quality
by identifying defects in real-time.
- Transportation:
Autonomous vehicles are one of the most visible applications of AI in
transportation. Self-driving cars use AI to navigate roads, recognize
obstacles, and make real-time decisions to ensure passenger safety. AI
also optimizes traffic management systems, reducing congestion and
improving overall transportation efficiency.
- Education:
AI is transforming education by providing personalized learning
experiences. Intelligent tutoring systems adapt to individual student
needs, offering customized lessons and feedback. AI also assists educators
in grading and administrative tasks, allowing them to focus more on
teaching.
AI in Project Management
The Project Management Institute (PMI) highlights the
importance of AI in project management (Detais HERE). AI tools can analyze project data to
predict potential risks, optimize resource allocation, and improve
decision-making processes. By
leveraging AI, project managers can enhance efficiency, reduce costs, and
increase the likelihood of project success.
MIGSO-PCUBED, a leading global consultancy in project,
program, and change management, exemplifies how AI can be integrated into
project management. They use AI to
predict project outcomes, manage resources, and ensure timely delivery of
projects.
Their approach combines AI with human
expertise to transform concepts into realities across various sectors like
aeronautics, defense, and energy Details HERE.
Note that MIGSO-PCUBED is a partner of PMI. Details HERE.
Beyond Chatbots: The Future of AI
While ChatGPT and similar conversational agents have
garnered significant attention, the future of AI holds even more promise.
Advances in AI research are leading to the development of systems that can
understand and generate human language with greater accuracy, recognize complex
patterns in data, and even exhibit creativity.
AI is also becoming more accessible, with user-friendly
tools and platforms that allow businesses of all sizes to integrate AI into
their operations. This democratization of AI technology is driving innovation
across industries and enabling new applications that were once thought to be
the realm of science fiction.
Conclusion
AI is not just ChatGPT. It is a dynamic and rapidly evolving
field with applications that touch nearly every aspect of our lives. From
healthcare to finance, manufacturing to transportation, and education to
project management, AI is transforming industries and creating new
opportunities for growth and innovation. As we continue to explore the
potential of AI, it is essential to recognize and appreciate the diverse ways
in which this technology is shaping our world.
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Posted by webadmin on Friday, August 30 @ 23:10:24 EDT (229 reads)
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Citizen Development: Enhancing Team Communication through Generative AI
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Enhancing Team
Communication through Generative AI
Watch this video HERE
Introduction
In the rapidly evolving landscape of artificial intelligence
(AI), the ability to effectively communicate with generative AI applications is
becoming an indispensable skill. Known as 'prompt engineering,' this practice
involves crafting inputs that elicit the most accurate and relevant outputs
from AI systems. As a seasoned expert with three decades of experience in
leading teams and pioneering prompt engineering techniques, I assert that
mastering this skill can significantly enhance team communication and
collaboration. This article delves into the nuances of prompt engineering and
its profound impact on team dynamics.
The Essence of Prompt Engineering
Prompt engineering is not merely about interacting with AI;
it's about understanding the underlying mechanisms that drive AI responses. A
well-constructed prompt can lead to outputs that provide insights, solutions,
and even foster innovation within a team. Conversely, poorly designed prompts
can result in irrelevant or misleading information, causing confusion and
inefficiency.
The Correlation Between Prompt Engineering and Team
Communication
Effective communication is the cornerstone of successful
team collaboration. Similarly, prompt engineering requires clarity, precision,
and a deep understanding of language nuances. By honing the skills necessary
for prompt engineering, individuals inherently improve their ability to convey
ideas and instructions more clearly to their team members. This parallel
development in communication competencies is not coincidental but rather a
direct consequence of the cognitive processes involved in both domains.
The Cognitive Synergy
With what we know, one could suggest that the cognitive
processes employed in prompt engineering and team communication are
synergistic. The act of deconstructing complex ideas into concise, clear
prompts for AI mirrors the process of breaking down project goals into
actionable tasks for team members. This synergy enhances an individual's
capacity to analyze, articulate, and adapt their communication style to
different audiences, whether AI or human.
Case Studies and Real-World Applications
As stated by Josh Morton in his article entitled “Using
Prompt Engineering to Better Communicate with People”, we should choose our
words as wisely with people as we do with generative AI. He provides six
guidelines to consider when initiating discussions with stakeholders, whether
they’re customers, partners, or employees:
1.
Structure your prompts the right way.
2.
Utilize reflective and thoughtful probing.
3.
Convey empathetic language and humility.
4.
Harness humor, playfulness, and emotions.
5.
Acknowledge key challenges.
6.
Be a good (and patient) listener.
Read full article here: https://hbr.org/2024/01/using-prompt-engineering-to-better-communicate-with-people
In the article “Using AI to Enhance Employee
Communications” by Lin Grensing-Pophal we learn Generative AI tools like Copilot,
ChatGPT, Gemini or PMI Infinity can:
1.
Create and enhance employee communications,
making them more comprehensive and targeted.
2.
Analyze employee feedback to gauge feelings and
perceptions, helping to improve HR practices and engagement1.
3.
Segment employees for personalized messages and
translate communications for global workforces.
4.
Help in analyzing large volumes of data and
scaling communications, especially in large, distributed workforces.
Read full article here: https://www.shrm.org/topics-tools/news/technology/using-ai-enhance-employee-communications
Conclusion
The art of prompt engineering extends beyond the realm of AI
interaction. It is a transformative tool that can elevate an individual's
communication skills, thereby enhancing team performance and cohesion. As AI
continues to integrate into our professional lives, the value of prompt
engineering cannot be overstated. It is not just a technical skill but a
fundamental component of effective leadership and team management in the 21st
century.
Valuable Links:
· Sembly AI: https://www.sembly.ai/?fpr=rich13
·
AI in Project Management: https://www.AIinPM.com
· PMI Infinity: https://infinity.pmi.org/chat · Prompt Engineering for Project Managers Training
Course: https://www.pmi.org/shop/p-/elearning/talking-to-ai-prompt-engineering-for-project-managers/el128
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Posted by webadmin on Sunday, August 11 @ 19:18:27 EDT (218 reads)
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Citizen Development: Empowering Innovation: The Rise of Citizen Developers in the AI Era
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"Empowering Innovation: The Rise of Citizen Developers
in the AI Era"
Watch video HERE
The future of AI and its relationship with Citizen
Developers is a fascinating and rapidly evolving area. As AI continues to
advance, it is becoming an increasingly powerful tool for Citizen Developers,
who are non-professional developers that create applications using low-code or
no-code platforms. These platforms enable individuals without extensive
programming knowledge to build applications, thereby democratizing the app
development process and allowing for rapid innovation within businesses.
AI is significantly impacting the role of Citizen Developers
by providing them with advanced tools that assist in coding, debugging, and
optimizing applications. This collaboration between AI and Citizen Developers
is not only accelerating the development process but also enhancing the
performance and quality of the applications produced.
One of the primary benefits of AI for Citizen Developers is
the simplification of complex coding tasks. AI can automate repetitive and
intricate parts of the coding process, allowing Citizen Developers to focus
more on creativity and functionality. Additionally, AI provides real-time
feedback and suggestions, which improves code quality and maintains high
standards without the need for deep technical expertise.
Moreover, AI-driven analytics offer insights into user
behavior, leading to better app design and the creation of user-centric
applications that meet the specific needs and preferences of the target
audience. This is crucial for businesses looking to stay competitive in a
market where understanding and catering to customer needs is paramount.
The integration of AI into app development tools is
enhancing efficiency and productivity. Citizen Developers can build
applications faster, reducing the time-to-market, which is essential in today's
fast-paced business environment. AI automates routine tasks, freeing up
developers to focus on innovation and strategic initiatives.
From a cost perspective, utilizing AI-driven development
tools can be more cost-effective than traditional development methods. This
cost-efficiency makes app development more accessible to startups and small
businesses, fostering a more competitive market.
Despite these benefits, challenges remain. Citizen
Developers may face limitations due to their limited technical expertise,
especially for complex projects. However, AI tools are continually evolving to
bridge this gap, and many low-code platforms offer comprehensive training
programs, community support, and AI-based guidance to assist Citizen
Developers.
The future landscape of app development looks promising with
AI and Citizen Developers at the forefront. We can expect more advanced AI
tools that cater to the evolving needs of Citizen Developers. Increased
collaboration between professional developers and Citizen Developers will
likely drive further innovation and contribute to the digital transformation
journeys of companies.
In conclusion, the synergy between AI and Citizen Developers
is shaping the future of app development, making it more accessible, efficient,
and user-focused. As AI tools become more sophisticated and intuitive, the
potential for Citizen Developers to contribute significantly to the digital
economy will continue to grow. The future of work in this domain appears to be
one where AI amplifies human skills and productivity, allowing highly skilled
engineers to focus on complex tasks while Citizen Developers handle more basic
technical tasks, thus creating a balanced and inclusive approach to
technological advancement.
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Posted by webadmin on Friday, June 07 @ 17:06:29 EDT (255 reads)
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Citizen Development: AI Terms and Definitions
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Within this database, you will find over 50 Terms and Definitions related to Artificial Intelligence that are relevant to Project Management. In other words AI Terms and Definitions in Project Management. AI Terms and Definitions HERE.
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Posted by webadmin on Sunday, March 17 @ 19:54:51 EDT (545 reads)
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Citizen Development: All About Citizen Development
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This is a series of articles related to the Citizen Development framework and the various Citizen Developer roles.
Think of the Citizen Development project management approach similar to Scrum. However, instead of developing new software, the team will focus on delivering value with off-the-shelf products. These products fall into what is commonly known as No-Code / Low-Code applications.
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Posted by webadmin on Saturday, January 01 @ 14:46:52 EST (5980 reads)
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Citizen Development: No-Code / Low-Code
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What is No-Code / Low-Code?
A visual software development environment that allows Citizen
Developers to drag and drop application components, connect them
together and create a mobile or web app.
What are the Most Popular Low-Code Applications?
Other Source: - Appian
- Boomi
- Creatio
- Mendix
- OutSystems
- Quickbase
- WaveMaker
- Microsoft
- Oracle
- SalesForce
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Posted by webadmin on Saturday, January 01 @ 14:09:53 EST (974 reads)
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Citizen Development: Citizen Development Tools
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Citizen Development Tools:
"Do" - Citizen Developer Practitioner Templates
The following is the list of templates that will help you plan and manage a Citizen Development project. - Project Concept
- Suitability Scorecard
- Risk Assessment
- Technical Assessment
- SDLC Path
- Vision Board
- RACI Matrix
- Change Request Log
- Environmental Check
- Entity Definition
- Process Architecture Model
- Flowchart Diagram
- Stakeholder Register
- Communications Plan
- NFR Assessment
- Requirements Tracker
"Manage and Lead" - Citizen Developer Business Architect
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Posted by webadmin on Saturday, January 01 @ 13:55:45 EST (801 reads)
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Citizen Development: Where can I Find Training on Citizen Developer?
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 - PMI Citizen Developer Foundation
- Begin your journey in unlocking the full power of Citizen
Development. Citizen development is about quickly turning ideas into
apps using low-code or no-code tools. Gartner predicts that the number
of active citizen developers, or individuals who can build applications
without coding knowledge, will be at least four times the number of
professional developers by 2023.
- PMI Citizen Developer Practitioner
- Take your Citizen Developer skills to the next level. The
Practitioner course is for the “doers.” It provides the tools and
methodologies needed to efficiently create effective and scalable
applications using low-code and no-code platforms, solving the problems
that organizations face.
- PMI Citizen Developer Business Architect
- Lead your organization's strategic planning for Citizen Development
adoption. The Citizen Developer Business Architect (CDBA) course
provides you with the tools and methodologies needed to manage citizen
developer teams, the governance processes, oversee the collaboration
between stakeholders in IT and the business, and embed the
organizational structures that underpin citizen development, guiding the
organization through to citizen development maturity.
- Citizen Developer Coach - Real-time, via the web, advice and guidance
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Posted by webadmin on Saturday, January 01 @ 13:37:14 EST (703 reads)
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Citizen Development: Where can I Find Training on Citizen Development?
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Posted by webadmin on Saturday, January 01 @ 11:53:26 EST (817 reads)
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"Your guided path to acquire the Six Sigma Greenbelt"
"65 Questions and Suggested Answers"
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