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Agile and Project Management - DrunkenPM Radio
Dave Prior, Agile Trainer, Consultant and Project Manager
263 episodes
1 week ago
In this conversation, Dave Prior and Hugo Bowne-Anderson discuss the evolving landscape of AI and data science, focusing on the role of AI agents in solving business problems. Hugo shares insights on how to effectively implement AI solutions, the importance of understanding the underlying data, and the need for continuous improvement in AI systems. They also touch on the skills necessary for navigating the AI landscape, the value of collaboration between technical and non-technical teams, and the importance of assessing the value of AI projects. Hugo concludes by offering a course on building AI applications, emphasizing the iterative nature of AI development. Takeaways - Hugo emphasizes the importance of data in AI applications. - AI agents can automate tasks but require human oversight. - Understanding the problem is crucial before implementing AI solutions. - Prompt engineering remains a valuable skill alongside learning about agents. - Consultants should educate clients on practical AI applications. - AI systems should be built incrementally and iteratively. - Value assessment in AI projects should focus on efficiency and cost savings. - Continuous improvement is essential for AI systems to remain effective. - Experimentation with AI tools can lead to innovative solutions. - Collaboration between technical and non-technical teams is vital for successful AI implementation. Chapters 00:00 Introduction to Data and AI Literacy 06:14 Understanding AI Agents vs. LLMs 09:18 The Role of Agents in Business Solutions 12:21 Navigating the Future of AI and Agents 15:24 Consulting and Client Education in AI 18:37 Building Incremental AI Solutions 21:29 The Future of AI Coding and Debugging 24:32 Prototyping with AI: Challenges and Solutions 25:32 Leveraging AI for User Insights and Competitive Analysis 27:29 Understanding Value in AI Development 32:05 The Role of Product Managers in AI Integration 33:00 AI as an Instrument: The Human Element 35:33 Getting Started with AI: Practical Steps for Teams 38:51 Building AI Applications: Course Overview and Insights Links from the Podcast: Stop Building AI Agents - Here’s what you should build instead (Article) https://www.decodingai.com/p/stop-building-ai-agents Anthropic https://www.anthropic.com/engineering/multi-agent-research-system The Colgate Study https://www.pymc-labs.com/blog-posts/AI-based-Customer-Research Hugo’s Course (Starts November 3, 2025) Building AI Applications for Data Scientists and Software Engineers (with a 25% discount) https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=drunkenpm (You can use the discount code drunkenpm to get 25% off) How To Be A Podcast Guest with Jay Hrcsko https://youtu.be/vkNbgwcolIM Contacting Hugo LinkedIn https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/ Substack https://hugobowne.substack.com/ Contacting Dave Linktree: https://linktr.ee/mrsungo Dave’s Classes: https://www.eventbrite.com/cc/dave-prior-classes-4758623
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All content for Agile and Project Management - DrunkenPM Radio is the property of Dave Prior, Agile Trainer, Consultant and Project Manager and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this conversation, Dave Prior and Hugo Bowne-Anderson discuss the evolving landscape of AI and data science, focusing on the role of AI agents in solving business problems. Hugo shares insights on how to effectively implement AI solutions, the importance of understanding the underlying data, and the need for continuous improvement in AI systems. They also touch on the skills necessary for navigating the AI landscape, the value of collaboration between technical and non-technical teams, and the importance of assessing the value of AI projects. Hugo concludes by offering a course on building AI applications, emphasizing the iterative nature of AI development. Takeaways - Hugo emphasizes the importance of data in AI applications. - AI agents can automate tasks but require human oversight. - Understanding the problem is crucial before implementing AI solutions. - Prompt engineering remains a valuable skill alongside learning about agents. - Consultants should educate clients on practical AI applications. - AI systems should be built incrementally and iteratively. - Value assessment in AI projects should focus on efficiency and cost savings. - Continuous improvement is essential for AI systems to remain effective. - Experimentation with AI tools can lead to innovative solutions. - Collaboration between technical and non-technical teams is vital for successful AI implementation. Chapters 00:00 Introduction to Data and AI Literacy 06:14 Understanding AI Agents vs. LLMs 09:18 The Role of Agents in Business Solutions 12:21 Navigating the Future of AI and Agents 15:24 Consulting and Client Education in AI 18:37 Building Incremental AI Solutions 21:29 The Future of AI Coding and Debugging 24:32 Prototyping with AI: Challenges and Solutions 25:32 Leveraging AI for User Insights and Competitive Analysis 27:29 Understanding Value in AI Development 32:05 The Role of Product Managers in AI Integration 33:00 AI as an Instrument: The Human Element 35:33 Getting Started with AI: Practical Steps for Teams 38:51 Building AI Applications: Course Overview and Insights Links from the Podcast: Stop Building AI Agents - Here’s what you should build instead (Article) https://www.decodingai.com/p/stop-building-ai-agents Anthropic https://www.anthropic.com/engineering/multi-agent-research-system The Colgate Study https://www.pymc-labs.com/blog-posts/AI-based-Customer-Research Hugo’s Course (Starts November 3, 2025) Building AI Applications for Data Scientists and Software Engineers (with a 25% discount) https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=drunkenpm (You can use the discount code drunkenpm to get 25% off) How To Be A Podcast Guest with Jay Hrcsko https://youtu.be/vkNbgwcolIM Contacting Hugo LinkedIn https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/ Substack https://hugobowne.substack.com/ Contacting Dave Linktree: https://linktr.ee/mrsungo Dave’s Classes: https://www.eventbrite.com/cc/dave-prior-classes-4758623
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Is Your Team Operating At Its' Full Potential? w/ Brett Harned & Greg Storey from Same Team Partners
Agile and Project Management - DrunkenPM Radio
54 minutes 34 seconds
7 months ago
Is Your Team Operating At Its' Full Potential? w/ Brett Harned & Greg Storey from Same Team Partners
In this conversation, Dave Prior, Brett Harned, and Greg Storey discuss the importance of creating a humane workspace through effective communication and collaboration. They share their backgrounds, the founding of Same Team Partners, and the significance of addressing communication issues within teams. The discussion highlights the need for leaders to be trained in facilitating meaningful conversations and the role of Team Angle in diagnosing and improving team dynamics. The conversation emphasizes the importance of empathy, cultural understanding, and creating a safe environment for teams to thrive. In this conversation, the speakers discuss the importance of understanding and communicating company values, the necessity of documentation and effective communication within teams, and the role of visualization in work processes. They emphasize creating safe spaces for team discussions, empowering teams through inclusivity, and the need for transformation at the team level rather than just implementing new processes. The conversation highlights the challenges leaders face in fostering a healthy team culture and the significance of ongoing dialogue and collaboration to improve team dynamics. Takeaways • Creating a humane workspace is essential for team success. • Many problems in teams stem from poor communication. • Positive culture leads to high-performing teams. • Stress and tension can be indicators of team dysfunction. • Empathy is crucial for understanding team dynamics. • Team Angle helps identify misalignments within teams. • Leaders often lack training for meaningful conversations. • Engagement at all levels is necessary for success. • Creating a shared language enhances team collaboration. • Structured conversations can improve team dynamics. Understanding company values is crucial for alignment. • Documentation is essential for effective communication. • Visual representation of work processes aids understanding. • Creating safe spaces encourages open dialogue. • Inclusivity fosters team empowerment and motivation. • Teams should be involved in the solution process. • Transformation should focus on team dynamics, not just processes. • Regular one-on-ones significantly increase team engagement. • Leaders need to be aware of their team's challenges. • Empathy and collaboration are key to overcoming obstacles. Chapters 00:18 Introduction to a Humane Workspace 03:29 Foundations of Same Team Partners 06:22 The Importance of Communication in Teams 09:11 Identifying Healthy Team Dynamics 12:12 Cultural Differences in Team Interactions 15:25 Creating Safety in Team Environments 18:19 Understanding Team Angle 21:31 Implementing Team Angle for Improvement 31:26 Understanding Company Values and Principles 34:18 The Importance of Documentation and Communication 36:00 Visualizing Work Processes 40:08 Creating Safe Spaces for Team Conversations 44:13 Empowering Teams Through Inclusivity 46:19 Transforming Teams, Not Just Processes You can find Same Team Partners, their Teamangle Diagnostic and the Teamangle Conversation Cards here: https://sameteampartners.com/ You can also find them on LinkedIn: Brett Harned: https://www.linkedin.com/in/brettharned/ Greg Storey: https://www.linkedin.com/in/brilliantcrank/
Agile and Project Management - DrunkenPM Radio
In this conversation, Dave Prior and Hugo Bowne-Anderson discuss the evolving landscape of AI and data science, focusing on the role of AI agents in solving business problems. Hugo shares insights on how to effectively implement AI solutions, the importance of understanding the underlying data, and the need for continuous improvement in AI systems. They also touch on the skills necessary for navigating the AI landscape, the value of collaboration between technical and non-technical teams, and the importance of assessing the value of AI projects. Hugo concludes by offering a course on building AI applications, emphasizing the iterative nature of AI development. Takeaways - Hugo emphasizes the importance of data in AI applications. - AI agents can automate tasks but require human oversight. - Understanding the problem is crucial before implementing AI solutions. - Prompt engineering remains a valuable skill alongside learning about agents. - Consultants should educate clients on practical AI applications. - AI systems should be built incrementally and iteratively. - Value assessment in AI projects should focus on efficiency and cost savings. - Continuous improvement is essential for AI systems to remain effective. - Experimentation with AI tools can lead to innovative solutions. - Collaboration between technical and non-technical teams is vital for successful AI implementation. Chapters 00:00 Introduction to Data and AI Literacy 06:14 Understanding AI Agents vs. LLMs 09:18 The Role of Agents in Business Solutions 12:21 Navigating the Future of AI and Agents 15:24 Consulting and Client Education in AI 18:37 Building Incremental AI Solutions 21:29 The Future of AI Coding and Debugging 24:32 Prototyping with AI: Challenges and Solutions 25:32 Leveraging AI for User Insights and Competitive Analysis 27:29 Understanding Value in AI Development 32:05 The Role of Product Managers in AI Integration 33:00 AI as an Instrument: The Human Element 35:33 Getting Started with AI: Practical Steps for Teams 38:51 Building AI Applications: Course Overview and Insights Links from the Podcast: Stop Building AI Agents - Here’s what you should build instead (Article) https://www.decodingai.com/p/stop-building-ai-agents Anthropic https://www.anthropic.com/engineering/multi-agent-research-system The Colgate Study https://www.pymc-labs.com/blog-posts/AI-based-Customer-Research Hugo’s Course (Starts November 3, 2025) Building AI Applications for Data Scientists and Software Engineers (with a 25% discount) https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=drunkenpm (You can use the discount code drunkenpm to get 25% off) How To Be A Podcast Guest with Jay Hrcsko https://youtu.be/vkNbgwcolIM Contacting Hugo LinkedIn https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/ Substack https://hugobowne.substack.com/ Contacting Dave Linktree: https://linktr.ee/mrsungo Dave’s Classes: https://www.eventbrite.com/cc/dave-prior-classes-4758623