Project Management

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Skills and Training for AI Implementation

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Masood Ur Rahman General Manager| Samsung Electronics Karachi, Sindh, Pakistan
What skills and knowledge should our project team members develop to work effectively with AI-powered tools and technologies?
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Kiron Bondale Retired | Mentor| Retired Welland, Ontario, Canada
Deep domain knowledge to be able to validate the inputs and outputs of the AI and an understanding of how to frame prompts or other inputs to get the desired outputs.
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Rami Kaibni
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Senior Projects Manager | Field & Marten Associates New Westminster, British Columbia, Canada
I totally agree with Kiron. Domain knowledge and expertise, is a must have skill.
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Laszlo J. Kremmer MBA, CSPO®, CSM®, PMP® Member of PMI Ethics Advisory Team (EAT)| PMI - Project Management Institute Budapest, Hungary, Hungary
To work effectively with AI-powered tools and technologies, project team members should develop a combination of technical skills, domain knowledge, and soft skills. Here's a breakdown of the key skills and knowledge areas they should focus on:

1. AI Fundamentals
2. Technical Skills
3. Domain Knowledge
4. AI Tool and Technology Proficiency
5. Ethical Considerations
6. Soft Skills
7. Continuous Learning
8. Collaboration
9. Project-Specific Skills
10. Cybersecurity Awareness
11. Legal and Compliance Knowledge
12. Change Management Skills

AI is a team effort, and it's essential to have a mix of these skills and knowledge areas across your project team. Additionally, fostering a culture of learning and adaptation is key to successfully integrating AI into your projects.

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