Decision-Making AI for Project Portfolios - with Stuart Easton, CEO of TransparentChoice

TL;DR

Stuart Easton, founder of Transparent Choice, discusses the role of AI in project portfolios, highlighting the importance of human values and strategic decision-making.

Transcript

Stuart welcome hi Mike hi how for those who don't know him Stuart Easton is the founder of transparent Choice which has a mission to help pmos to make high impact decisions faster with decision science techniques and his clients include big names and he's also a guest lecturer on project prioritization at the University of Oxford in the UK he speak... Read More

Key Insights

• 📽️ Strategic decision-making is crucial in project portfolios, and AI can support this process by automating tasks and providing data-driven insights.
• 👔 AI is effective at reducing noise in decision-making but may not eliminate biases inherently tied to human values and judgments.
• 😌 The future of AI in project portfolios lies in the application of existing AI capabilities to solve specific problems and add value to decision-making processes.
• 📽️ Project managers should prioritize developing a broad understanding of business and strategic concepts to effectively leverage AI in project management.
• 📽️ Organizations should collect and structure data to facilitate AI integration in project portfolios, ensuring the quality and integrity of the data.
• 📽️ AI can assist in optimizing project portfolios by enabling efficient resource allocation, predicting project outcomes, and facilitating effective decision-making.
• ✊ Collaboration between humans and machines is essential in decision-making, with AI providing computational power and humans providing values and strategic insights.

Questions & Answers

Q: How does Stuart Easton define the role of decision-making in the project environment?

Decision-making is pervasive in project management, ranging from strategic alignment to resource allocation, and it plays a crucial role in determining the value delivered by a portfolio of projects.

Q: How does AI contribute to decision-making in project portfolios?

AI can support decision-making in project portfolios by automating tasks, analyzing data patterns to make predictions, and solving complex computational problems to optimize resource allocation and project outcomes.

Q: What are the different types of decisions that AI can assist with?

AI can help with tasks such as identifying patterns in data, automating repetitive tasks, and solving computationally intensive problems. These capabilities can be applied to various decision-making areas, such as project prioritization and resource management.

Q: How can AI be used to reduce biases and noise in decision-making processes?

AI can help reduce noise in decision-making by analyzing historical data and making predictions based on patterns and trends. However, biases related to values and judgments still require human input and interpretation to ensure a holistic approach to decision-making.

Summary & Key Takeaways

• Decision-making is a crucial aspect of project management, including strategic alignment, resource allocation, vendor selection, and project delivery.

• AI can support decision-making in project portfolios by automating tasks, analyzing patterns, and solving complex computational problems.

• The integration of AI into project portfolios requires a combination of human values and machine capabilities to achieve optimal outcomes.