PMIPCC Gyan Lahari 2024

What is the theme of the Gyan Lahari 2024 ?

• AI powered Product Management: Maximizing Outcomes

• AI powered Process Management: Maximizing Outcomes

• AI powered Project Management: Maximizing Value

• AI powered Project Management: Maximizing Outcomes

Gartner Says ____Percent of Today’s Project Management Tasks Will Be Eliminated by 2030 as Artificial Intelligence Takes Over

• 70

• 80

• 90

• 60

What are some ways AI can help maximize project efficiency?

• Automating tasks, providing data-driven insights, optimizing resource allocation, predicting risks, improving project management processes

• Introducing errors in data analysis

• Creating unnecessary complexity

• Slowing down decision-making processes

Name one AI tool that can be used for project risk management.

• Chatbots

• Machine Learning

• Blockchain

• Predictive Analytics

As per PMI AI in Project Management key findings global report, out of below options which is not a part of it ?

• Project Time Management & Scheduling

• Data Collection and Reporting

• Replacing Humans

• Performance Monitoring

Discuss the benefits of implementing AI in project budgeting.

• Improved accuracy in forecasting, faster data analysis, identification of cost-saving opportunities, and automation of repetitive tasks.

• Decreased accuracy in forecasting

• Inability to identify cost-saving opportunities

• Slower data analysis

How can AI applications assist in project monitoring?

• By cooking dinner, doing laundry, and washing dishes

• By teaching yoga classes, painting landscapes, and playing the guitar

• By analyzing data, identifying patterns, predicting risks, providing updates, optimizing resources, and generating reports.

• By skydiving, bungee jumping, and rock climbing

What are some ethical considerations to keep in mind when using AI in project management?

• Lack of innovation, Over-reliance on AI, Inadequate training

• Transparency, bias, data privacy, security, and job displacement.

Explain how AI can improve project scheduling accuracy.

• By analyzing historical data, identifying patterns, optimizing resource allocation, predicting delays, and adjusting schedules in real-time.

• By randomly guessing without any data analysis

• By manually scheduling without any AI assistance

• By using outdated information and ignoring patterns

What are the stages of the AI project cycle in order?

• 1. evaluation

  2. data

  3. modeling

  4. planning

• 1. data

  2. planning

  3.evaluation

  4. modeling

• 1. planning

  2.data

  3.modeling

  4. evaluation