• Pioneers (19% of organizations): Businesses that both understand and have incorporated AI into their offerings and internal processes.
• Investigators (32%): Businesses that understand AI but are not deploying it beyond the pilot stage.
• Experimenters (13%): Organizations that are piloting AI without deep understanding.
• Passives (36%): Organizations with limited/no understanding of AI and no piloting/adoption.

Tags: AI • Artificial Intelligence • AI - Experimenters • AI - Pioneers • @ScottGraffius • AI - Passives • AI - Investigators • Scott M. Graffius

• Programming Languages and Algorithms: Proficiency in programming languages such as Python, Java, or R is essential. These languages enable team members to write efficient code, manipulate and analyze data, and implement machine learning algorithms. Understanding algorithms, from classic ones like linear regression to cutting-edge deep learning models, empowers AI professionals to leverage mathematical principles and statistical techniques to train and optimize AI systems.
• Data Analysis and Management: AI relies on data, making data analysis and management skills crucial. AI team members need to be adept at collecting, cleaning, and preprocessing data, ensuring its quality and relevance. They must possess the knowledge of statistical methods, data visualization techniques, and data engineering practices to extract insights from complex datasets and prepare them for AI model training.
• Machine Learning and Neural Networks: Technical skills in machine learning are at the heart of AI systems. Understanding machine learning algorithms, such as decision trees, support vector machines, or convolutional neural networks, enables AI team members to create models that can learn from data and make intelligent predictions or decisions. Expertise in neural networks and deep learning architectures equips professionals with the ability to develop complex models capable of handling tasks like image recognition, natural language processing, and reinforcement learning.
• AI Frameworks and Tools: Proficiency in AI frameworks and tools (such as TensorFlow, Keras, PyTorch, Caffe, Scikit-learn, and others) are essential for building AI systems efficiently. These frameworks provide pre-built modules, libraries, and APIs that simplify the implementation of AI algorithms and models. Technical skills in utilizing these tools effectively enable AI team members to accelerate the development process, streamline model training, and optimize system performance.
• Domain Knowledge and Application-Specific Skills: Technical skills also encompass domain knowledge and application-specific expertise. Understanding the nuances of the industry or problem domain in which AI is being applied allows professionals to tailor AI solutions to meet specific requirements. For example, healthcare-focused AI projects may require knowledge of medical terminologies and regulatory considerations, while AI solutions for financial services may demand expertise in risk assessment and fraud detection.

• Effective Communication and Technical Expertise: Communication bridges the gap between AI professionals and others who may not possess technical backgrounds. AI experts with strong communication skills can articulate complex technical concepts in plain English, ensuring that everyone involved understands the goals, challenges, and progress of the project. By effectively conveying ideas, AI professionals foster collaboration, gather valuable insights, and create a shared vision for AI initiatives.
• Collaboration and Problem-Solving: Collaboration is at the core of AI development, and soft skills such as teamwork, empathy, and active listening facilitate effective collaboration among diverse team members. AI teams with strong collaboration skills can effectively pool their technical expertise, brainstorm ideas, and solve complex problems together. By leveraging their collective intelligence and diverse perspectives, AI teams can overcome challenges, refine AI models, and optimize the performance of AI solutions.
• Critical Thinking and Technical Innovation: Critical thinking, coupled with technical expertise, leads to innovative AI solutions. AI professionals with strong critical thinking skills can evaluate different approaches, challenge assumptions, and identify potential shortcomings or biases in AI models. They can think creatively to address issues such as data biases or fairness concerns, ensuring that AI systems are developed responsibly and ethically.
• Leadership and Team Empowerment: Effective leadership in AI projects involves establishing and maintaining a collaborative and inclusive environment, empowering team members, and harnessing their full potential. AI leaders with exceptional interpersonal abilities can inspire and motivate their team, foster a culture of continuous learning, and provide guidance in navigating complex technical challenges. They encourage interdisciplinary collaboration, respect diverse perspectives, and drive the team towards achieving AI objectives.

• Training Programs and Workshops: Implement specialized training programs and workshops focused on enhancing soft skills. Offer courses in effective communication, leadership (including how to navigate the phases of team development), problem-solving, critical thinking, and collaboration. These programs can provide AI professionals with the necessary tools and techniques to effectively apply soft skills in their work.
• Interdisciplinary Collaboration and Knowledge Sharing: Encourage interdisciplinary collaboration by creating opportunities for AI team members to work alongside experts from diverse fields such as psychology, design, ethics, and business. This collaboration allows for cross-pollination of ideas, encourages different perspectives, and broadens the skill set of AI teams. Foster a culture of knowledge sharing, where professionals can learn from each other and leverage their collective experiences and expertise.
• Real-World Project Engagement: Provide AI team members with opportunities to work on (other) real-world projects, allowing them to apply their soft skills in practical scenarios. Engaging in projects that involve interaction with clients, end-users, and stakeholders helps AI team members develop effective communication, problem-solving, and teamwork skills.
• Continuous Learning and Professional Development: Encourage AI team members to engage in continuous learning and professional development activities. This can include attending conferences, participating in webinars, reading industry publications, and pursuing certifications in relevant areas. Promote a growth mindset among AI team members, emphasizing the importance of lifelong learning and staying current with the latest developments in both technical and soft skills domains.
• Mentorship and Coaching: Establish mentorship and coaching programs where experienced AI professionals guide and support individuals with less experience. Mentors can provide valuable insights, share their experiences, and offer guidance on developing skills. Regular feedback and coaching sessions help AI professionals identify areas for improvement and provide targeted development opportunities.

• Accenture (2023, March 30). Accenture Technology Vision 2023: Generative AI to Usher in a Bold New Future for Business, Merging Physical and Digital Worlds. Available at: https://newsroom.accenture.com/news/accenture-technology-vision-2023-generative-ai-to-usher-in-a-bold-new-future-for-business-merging-physical-and-digital-worlds.htm.
• Alsever, Jennifer (2020, January 20). Medicine by Machine: Is A.I. the Cure for the World’s Ailing Drug Industry? Fortune. Available at: https://fortune.com/longform/ai-artificial-intelligence-medicine-healthcare-pharmaceutical-industry.
• Anthropic (2023, March 14). Introducing Claude. Available at: https://www.anthropic.com/news/introducing-claude.
• Berlin School of Business and Innovation (2022, September 22). How Do Technical Abilities Combined with Leadership Skills Fuel Career Growth? Available at: https://www.berlinsbi.com/blog/career-advice/how-do-technical-abilities-combined-with-leadership-skills-fuel-career-growth.
• Bhatti, Shawaiz, Demir, Mustafa, Cooke, Nancy J., & Johnson, Craig J. (2021). Assessing Communication and Trust in an AI Teammate in a Dynamic Task Environment. In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS): 1–6. DOI: 10.1109/ICHMS53169.2021.9582626.
• Brooks, David (2023, February 2). In the Age of A.I., Major in Being Human. The New York Times. Available at: https://www.nytimes.com/2023/02/02/opinion/ai-human-education.html.
• C3.ai (n.d.). Best Practices in Prototyping: Cross-Functional Teams. Available at: https://c3.ai/introduction-what-is-machine-learning/cross-functional-teams/.
• Crampton, Natasha (2021, January 19). The Building Blocks of Microsoft’s Responsible AI Program. Microsoft. Available at: https://blogs.microsoft.com/on-the-issues/2021/01/19/microsoft-responsible-ai-program.
• Dolev, Niva, & Itzkovich, Yariv (2020). In the AI Era, Soft Skills are the New Hard Skills. In: Artificial Intelligence and Its Impact on Business, pp. 55-77. Charlotte, NC: Information Age Publishing.
• Dzombak, Rachel, & Palat, Jay (2021, August 30). 5 Ways to Start Growing an AI-Ready Workforce. Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University.
• Elliott, Joshua (n.d.). Artificial Social Intelligence for Successful Teams (ASIST). Arlington, VA: Defense Advanced Research Projects Agency (DARPA).
• Exceptional Agility (2023, April 10). What's the Future of Agile? Available at: https://exceptionalagility.com/blog/files/the-future.html.
• Fountaine, Tim, McCarthy, Brian, & Saleh, Tamim (2019). Building the AI-Powered Organization. Harvard Business Review, 97 (4): 62–73.
• Gartner (2020, December 15). How to Staff Your AI Team. Available at: https://www.gartner.com/smarterwithgartner/how-to-staff-your-ai-team.
• Gong, Michelle; and Zhernov, Anton (2019, November 18). Advanced Machine Learning Helps Play Store Users Discover Personalised Apps. Google DeepMind. Available at: https://deepmind.google/discover/blog/advanced-machine-learning-helps-play-store-users-discover-personalised-apps/.
• Gorman, Austin (2023, April 27). How to Strengthen Your Soft Skills for AI and the Future of Work. Fast Company. Available at: https://www.fastcompany.com/90887540/how-to-strengthen-your-soft-skills-for-ai-and-the-future-of-work.
• GovExec Events (2020, July 1). Human Machine Team: The Intersection of Diverse Skill Sets [Video]. Defense One. Available at: https://www.youtube.com/watch?v=93wbNLKpbxg&t=1s.
• Graffius, Scott M. (2023, May 1). Fueling the Development of Innovative and Life-Changing AI Solutions [Presentation]. Talk delivered to an audience of Technology professionals (including Data Scientists, Machine Learning Engineers, Data Engineers, AI Researchers, Project Managers, Business Analysts, UX Designers, Software Developers, Cloud Architects, Data Privacy and Security Specialists, and others involved or interested in AI) at a private event in Mountain View, California, United States. Digital Object Identifier (DOI): 10.13140/RG.2.2.27956.73601. DOI link: https://dx.doi.org/10.13140/RG.2.2.27956.73601.

• Graffius, Scott M. (2023, April 26). The Science of High-Performance Teams [Presentation]. Talk delivered at the DevOps Institute’s SKILup Day 2023 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.15888.28169. DOI link: https://dx.doi.org/10.13140/RG.2.2.15888.28169.

• Graffius, Scott M. (2023, January 9). Use the Phases of Team Development (Based on Bruce W. Tuckman's Model of Forming, Storming, Norming, Performing, and Adjourning) to Help Teams Grow and Advance: 2023 Update. Available at: https://scottgraffius.com. Digital Object Identifier (DOI): 10.13140/RG.2.2.10720.35846. DOI link: https://dx.doi.org/10.13140/RG.2.2.10720.35846.

• Graffius, Scott M. (2022, May 13). Want Happier and More Productive DevOps Teams? [Presentation]. Talk delivered at DevOpsDays Geneva, Switzerland 2022 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.22252.85127. DOI link: https://dx.doi.org/10.13140/RG.2.2.22252.85127.

• Graffius, Scott M. (2021, October 5). Navigate the Phases of Team Development with Speed and Agility for Happier and More Productive Teams [Presentation]. Talk delivered at the Institute of Electrical and Electronics Engineers IEEE Day 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.20055.19365. DOI link: https://dx.doi.org/10.13140/RG.2.2.20055.19365.

• Graffius, Scott M. (2021, February 20). But First, the Team! [Presentation]. Talk delivered at the Brno, Czech Republic DevConf.CZ 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.29016.72964. DOI link: https://dx.doi.org/10.13140/RG.2.2.29016.72964.
• Gupta, Arun (2022). Non-Technical Skills Eat Technical Skills for Breakfast [Video]. Recording of Arun Gupta, VP and GM of the Open Ecosystem at Intel, speaking at the All Things Open Conference. Available at: https://www.youtube.com/watch?v=WNPxRBhYNU4.
• Humpton, Barbara (n.d.). The Future of Jobs. Siemens. Available at: https://www.siemens.com/us/en/company/press/siemens-stories/ceo-perspective/the-future-of-jobs.html.
• IBM (2019, September 26). Assemble the Team to Support a Data-Driven Project. Available at: https://www.ibm.com/garage/method/practices/culture/assemble-team-for-data-driven-project.
• IBM (2019). Everyday Ethics for Artificial Intelligence. Available at: https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf.
• Institute of Electrical and Electronics Engineers (IEEE) (2021, November 8). The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. Available at: https://standards.ieee.org/industry-connections/ec/autonomous-systems.html.
• Kenan Institute (2023, February 20). The Must-Have Skills in the Era of Artificial Intelligence: How AI’s Democratization Will Impact Workers. Available at: https://kenaninstitute.unc.edu/commentary/the-must-have-skills-in-the-era-of-artificial-intelligence-how-ais-democratization-will-impact-workers.
• Lindzon, Jared (2017, February 28). How AI is Changing the Way Companies are Organized. Fast Company. Available at: https://www.fastcompany.com/3068492/how-ai-is-changing-the-way-companies-are-organized.
• Marr, Bernard (2023, March 20). Beyond The Hype: What You Really Need to Know About AI In 2023. Forbes. Available at: https://www.forbes.com/sites/bernardmarr/2023/03/20/beyond-the-hype-what-you-really-need-to-know-about-ai-in-2023.
• Massachusetts Institute of Technology (MIT) Lincoln Laboratory (2023, January 17). Human-AI Performance Incubator. Available at: https://www.ll.mit.edu/r-d/projects/human-ai-performance-incubator.
• Massachusetts Institute of Technology (MIT) (2021, January). Cognitive Science as a New People Science for the Future of Work. Available at: https://workofthefuture.mit.edu/wp-content/uploads/2021/01/2021-Research-Brief-Polli-Kassir-Dolphin-Baker-Gabrieli.pdf.
• Massachusetts Institute of Technology (MIT) Sloan (2019, October 15). Winning With AI. MIT Sloan Management Review and Boston Consulting Group. Available at: https://sloanreview.mit.edu/projects/winning-with-ai.
• McNeese, Nathan J., Demir, Mustafa, Chiou, Erin K., & Cooke, Nancy J. (2021). Trust and Team Performance in Human–Autonomy Teaming. International Journal of Electronic Commerce, 25 (1): 51–72. DOI: 10.1080/10864415.2021.1846854.
• Mearian, Lucas (2023, February 24). Skills-Based Hiring Continues to Rise as Degree Requirements Fade. Computerworld. Available at: https://www.computerworld.com/article/3689170/skills-based-hiring-continues-to-rise-as-degree-requirements-fade.html.
• Meta (2017, October 11). Inventing the Future. Available at: https://www.meta.com/blog/quest/inventing-the-future/.
• Microsoft (2019, June 15). Is the Latest Technology the Key to Your Team’s Success, or is There Something Else? Available at: https://devblogs.microsoft.com/premier-developer/is-the-latest-technology-the-key-to-your-teams-success-or-is-there-something-else.
• New South Wales Technical and Further Education Commission (TAFE NSW) (2019). Soft vs. Hard Skills: Why Successful Australian Businesses Need Both. Ultimo, New South Wales: TAFE NSW.
• Nvidia (n.d.). Partner Innovation. Available at: https://www.nvidia.com/en-ph/self-driving-cars/partners/.
• O’Dea, Blathnaid (2023, February 17). These are the Top Skills AI and Analytics Professionals Need. Silicon Republic. Available at: https://www.siliconrepublic.com/advice/top-skills-ai-data-analytics-professionals-need.
• Olmstead, Brett (2023, February 15). Driving AI Success by Engaging a Cross-Functional Team. Available at: https://www.datarobot.com/blog/driving-ai-success-by-engaging-a-cross-functional-team/.
• Organization for Economic Cooperation and Development (OECD) (n.d.). OECD Programme on AI in Work, Innovation, Productivity and Skills. Available at: https://oecd.ai/en/work-innovation-productivity-skills/key-themes/skills.
• Oswald, Andrew. J., Proto, Eugenio, & Sgroi, Daniel (2015). Happiness and Productivity. Journal of Labor Economics, 33 (4): 789-822.
• Project Management Institute (2020, March 10). Tomorrow's Teams Today: The Future of Teaming: Creative, Collaborative and Agile. Pulse of the Profession. Available at: https://www.pmi.org/learning/library/pulse-indepth-tomorrows-teams-today-11941.
• PwC (2017). Sizing the Prize: What’s the Real Value of AI for Your Business and How Can You Capitalise? PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution. Available at: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html.
• Rayside, Derek (Ed.) (2023, March 29). Software Engineering Capstone Design Project Handbook (2023 Edition). Waterloo, Ontario, Canada: University of Waterloo.
• Romsey, Joseph (2020, November 30). 5 Tips to Help Workers Upskill and Adapt to Artificial Intelligence. Society for Human Resource Management (SHRM). Available at: https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/how-hr-can-help-workers-upskill-and-adapt-to-artificial-intelligence-5-tips.aspx.
• Samsung (2017, May 4). Artificial Intelligence and the Role of Workers. Available at: https://insights.samsung.com/2017/05/04/artificial-intelligence-and-the-role-of-workers/.
• Stanford University (2019, September). Gathering Strength, Gathering Storms. Stanford, CA: Stanford University.
• Tredinnick, Luke (2017). Artificial Intelligence and Professional Roles. Business Information Review, 34 (1): 37–41.
• Ungerleider, Neal (2023, January 1). AI and Jobs: The Human Angle. Available at: https://www.sap.com/denmark/insights/viewpoints/ai-jobs-human-angle.html.
• United Nations Educational, Scientific and Cultural Organization (UNESCO) (2021, July 2). AI Ethics: Another Step Closer to the Adoption of UNESCO’s Recommendation. Available at: https://en.unesco.org/news/ai-ethics-another-step-closer-adoption-unescos-recommendation-0.
• United States Artificial Intelligence Institute (USAII) (2022). Factsheet: Fast-Track Your Artificial Intelligence Career in 2023. Stamford, CT: USAII.
• United States Congress Committee on Science, Space, and Technology (2019, September 24). Artificial Intelligence and the Future of Work. Report for the One Hundred Sixteenth Congress. Available at: https://www.congress.gov/116/chrg/CHRG-116hhrg37740/CHRG-116hhrg37740.pdf.
• University of Leeds (2023, March 2). The Top 5 AI Skills You Need to Land a Job in Artificial Intelligence. Available at: https://pg-online.leeds.ac.uk/blogs/5-skills-needed-for-ai.
• World Manufacturing Foundation (2020). 2020 World Manufacturing Report: Manufacturing in the Age of Artificial Intelligence. Available at: https://worldmanufacturing.org/wp-content/uploads/WorldManufacturingForum2020_Report.pdf.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

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Tags: #Accenture • #BSBI • #FastCompany • #MIT • #Gartner • #IBM • AI team • #AITeam • AI team skills • #AITeamSkills • Developing and Advancing Soft Skills in AI Teams • The Power of Synergy: Soft Skills and Technical Skills in AI Teams • The Role of Technical Skills in AI Teams • Understanding Soft Skills in AI Teams • United States Artificial Intelligence Institute • Stanford University • Software Engineering Institute • Microsoft • MIT • IEEE • IBM • DARPA • Graffius' work on AI projects • AI teams • AI • Artificial Intelligence • #AIForGood • #MachineIntelligence • #techinnovation • #AISkills • #AISoftSkills • #AIJobs • #ArtificialIntelligenceSkills • #ArtificialIntelligenceTeamSkills • #ArtificialIntelligenceSoftSkills • #AIResearch • #MI • #AIIsATeamSport • #BigData • #Collaboration • #Data • #Development • #DeepLearning • #AgileBlog • #Keras • #TensorFlow • #Caffe • #PyTorch • #ScikitLearn • #BusinessBlog • #TechnologyBlog • #ProjectManagementBlog • #Leadership • #Tech • #Teamwork • #AIStory • #Technology • #Blog • #TechnicalSkills • #TeamLeadership • #TeamDevelopment • #TeamCollaboration • #TeamBuilding • #SoftSkills • #Team • #ProjectManager • #ProjectManagement • #Management • #ML • #MachineLearning • #Innovation • #Future • #Entrepreneurship • #Engineering • #ChangeManagement • #ArtificialIntelligence • #AIteams • #AI • #Agile • #PwC • #Startups • #Science • #NeuralNetworks • #Programming • #AITradecraft • #autonomousSystems • #USAII • #FutureOfWork • #DataScience • #CognitiveComputing • #emergingtech • #IEEE • #Microsoft • #CoreSkills • #Interpersonalskills • #PeopleSkills • #transferableskills • #transversalskills • #PowerSkills • AI Skills • AI teams • AI Soft Skills • AI Hard Skills • AI team skills • AI technical skills • AI interpersonal skills

• Daniel Goldsmith,
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• Sara Marzella, and
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• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

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1. AI Research Scientist: AI research scientists are responsible for conducting research and developing cutting-edge AI algorithms and models.
2. AI Software Engineer: AI software engineers are responsible for integrating AI components into software applications. They bridge the gap between AI research and practical implementation, making AI systems usable by end-users.
3. Data Engineer: Data engineers are responsible for building and managing the data pipelines that feed AI models. They ensure that data is collected, cleaned, and prepared in a format suitable for analysis and model training.
4. Data Scientist: Data scientists are experts in data analysis and interpretation. They preprocess, analyze, and extract valuable insights from data, which is vital for training and improving AI models.
5. Machine Learning Engineer: Machine learning engineers focus on implementing and deploying machine learning models into practical applications. They work to ensure that AI models are integrated into software systems effectively.

1. AI DevOps Engineer: Combines development and operations skills to streamline AI model deployment. They automate tasks.
2. AI Ethicist: Ensures that AI systems are developed and used responsibly and ethically.
3. AI Infrastructure Engineer: Builds and maintains the infrastructure required for AI model deployment and scalability.
4. AI Legal and Compliance Specialist: Ensures AI projects comply with legal and regulatory requirements.
5. AI Marketing Specialist: Promotes and markets AI products and solutions to customers and stakeholders.
6. AI Operations (AIOps) Specialist: Focuses on the operational aspects of AI, including monitoring, maintenance, and troubleshooting.
7. AI Product Manager: Oversees the development and deployment of AI products.
8. AI Project Manager: Leverages general and specialized hard skills and soft skills, and applies their understanding of many aspects of artificial intelligence (such as machine learning, deep learning, automation, robotics, and natural language processing) to manage the planning, execution, and delivery of AI projects. Note: Titles vary by organization; the position may be called an AI Project Manager, AI Program Manager, Agile Project Manager, Technical Project Manager, Scrum Master, or another related designation.
9. AI QA Engineer: Ensures the quality and reliability of AI models through testing and validation.
10. AI Research Scientist: Conducts research to develop new AI algorithms and models.
11. AI Software Engineer: Builds and maintains software systems that incorporate AI components.
12. AI Trainer/Annotator: Prepares and labels data for training AI models, especially for supervised learning.
13. AI UX/UI Designer: Designs user interfaces and experiences for AI-powered applications.
14. Computer Vision Engineer: Specializes in developing AI models for image and video analysis.
15. Data Analyst: Examines data to uncover trends and insights that can guide AI projects.
16. Data Engineer: Manages data pipelines and prepares data for analysis and model training.
17. Data Scientist: Analyzes and interprets data to extract insights and inform AI models.
18. Deep Learning Engineer: Focuses on deep neural networks and architectures.
19. Machine Learning Engineer: Focuses on implementing and deploying machine learning models.
20. Natural Language Processing (NLP) Engineer: Specializes in working with text and language-related AI tasks.

• Apple (n.d.). Careers at Apple: Machine Learning and AI. Available at: https://www.apple.com/careers/us/machine-learning-and-ai.html.
• C3.ai (n.d.). Best Practices in Prototyping: Cross-Functional Teams. Available at: https://c3.ai/introduction-what-is-machine-learning/cross-functional-teams/.
• Deloitte AI Institute (2021). Building Successful AI Teams. Available at: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-ai-institute-building-successful-AI-teams.pdf.
• Gartner (2020, December 15). Staff AI Teams with Various Roles and Skills for Success. Available at: https://www.gartner.com/smarterwithgartner/how-to-staff-your-ai-team.
• General Services Administration (GSA) Centers of Excellence (CoE) (n.d.). AI Guide for Government. Available at: https://coe.gsa.gov/coe/ai-guide-for-government/understanding-ai-job-roles-career-path/.
• Google Quantum AI (n.d.). Careers. Available at: https://quantumai.google/team/careers.
• Graffius, Scott M. (2023, May 1). AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success. Available at: https://www.scottgraffius.com/blog/files/successful-ai-teams.html.
• Graffius, Scott M. (2023). What Successful AI Teams Have in Common [Video]. Graffius’ talk at the 2023 Conf42 Quantum Computer Conference. Available at: https://www.youtube.com/watch?v=u2qRKFbSKYE.
• IBM (n.d.). Assemble the Team to Support a Data-Driven Project. Available at: https://www.ibm.com/garage/method/practices/culture/assemble-team-for-data-driven-project/.
• Intel (n.d.). Artificial Intelligence Teams: Careers. Available at: https://jobs.intel.com/en/search-jobs/artificial+intelligence/599/1.
• Intuit (2020, December 8). How to avoid conflicts and delays in the AI development process (Part I). Available at: https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/.

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• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

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Tags: AI • #AI • AI Jobs • #AIJobs • AI Positions • #AIPositions • AI Research • #AIResearch • AI Research Scientist • #AIResearchScientist • AI Roles • #AIRoles • AI Software Engineer • #AISoftwareEngineer • AI team roles • #AITeamRoles • AI teams • #AITeams • AI tradecraft • Artificial Intelligence • #ArtificialIntelligence • Cognitive Computing • #CognitiveComputing • Data Engineer • #DataEngineer • Data Science • #DataScience • Data Scientist • #DataScientist • Deep Learning • #DeepLearning • Innovation • #innovation • Machine Learning • #MachineLearning • Machine Learning Engineer • #MachineLearningEngineer • ML • #ML • ML Engineer • #MLEngineer • #Science • Science • Team • #Team • Team Development • #TeamDevelopment • Teamwork • #Teamwork • Tech • #tech • Technology • #technology • Tradecraft • #Tradecraft • Technical Project Management • #technicalprojectmanagement • project management • Scott M. Graffius • #projectmanagement • #AITradecraft

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• Facebook, and
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• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

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Tags: Scott M. Graffius • IEEE • #IEEE • IEEE Xplore • #IEEEXplore • Xplore • #Xplore • Team Formation • #TeamFormation • Human-Artificial Intelligence • #HumanArtificialIntelligence • Human Intelligence • #HumanIntelligence • Artificial Intelligence • #ArtificialIntelligence • AI • #AI • HumInt • #HumInt • Antalytical Models • #AnalyticalModels • Stages of Team Development • #StagesOfTeamDevelopment • Team Development Characteristics • #TeamDevelopmentCharacteristics • Team Development Strategies • #TeamDevelopmentStrategies • Agile • #agile • Agile Coach • #AgileCoach • Agilist • #Agilist • Agility • #agility • Collaboration • #Collaboration • FSNP • #FSNP • FSNPA • #FSNPA • Innovation • #innovation • Insights • #Insights • leadership • #leadership • #LTEN • Phases of Team Development • #PhasesOfTeamDevelopment • project management • #projectmanagement • Project Manager • #projectmanager • Scrum Master • ScrumMaster • #scrummaster • Team • #Team • Team Building • #TeamBuilding • Team Collaboration • #TeamCollaboration • Team Development • #TeamDevelopment • Team Dynamcs • #TeamDynamics • Team Leadership • #teamleadership • Team Performance • #TeamPerformance • team success • #Teamsuccess • Teamwork • #Teamwork • Tech • #tech • Technology • #technology • Tradecraft • #Tradecraft • Tuckman • #Tuckman

• Title: Talks or workshops on High Performance Teams may be called “Navigate the Phases of Team Development with Speed and Agility” or “Want Happier and More Productive Teams?” or another title.

• Description: Help your teams go farther, faster! Perhaps you’re heard about the phases of team development: Forming, Storming, Norming, Performing, and Adjourning. But are you aware of the unique behaviors specific to each phase? What exactly should you do during each phase to help the team (Agile or otherwise) tackle challenges, make progress, and become successful? If you are a leader (or aspire to be one), a member of a team (or may be in one in the future), or are just looking to develop your skills, this talk (with a fresh angle: 0% theory, 100% real-world-based) will give you a practical framework with actionable tips for working in and leading teams successfully. You'll learn about the five phases—Forming, Storming, Norming, Performing, and Adjourning—including detailed descriptions of each along with proven strategies for addressing challenges or issues which may occur along the way. You'll understand how to use the model to your advantage by effectively navigating all of the phases with speed and agility, from team set-up to the after-party! The presentation draws on the speaker’s first-hand, real-world experience, with his guidance supported by additional research, recommendations, and coverage from the Project Management Institute, IEEE, Google, NASA, and others.

• Key learning benefits: This talk will help you develop and enhance the contributions you make to your organization by being able to: (1) Understand the five stages of team development: Forming, Storming, Norming, Performing, and Adjourning. (2) Learn the characteristics of each phase. (3) Apply proven strategies to help handle challenges or issues experienced by the team. By doing so, you'll advance the team's happiness, productivity, and success.

• Information sheet: https://scottgraffius.com/resources/Scott-M-Graffius---Public-Speaker---Example-Session---Team-Development---v24012907.pdf.

• Title: Talks or workshops on Strategic Alignment may be called “10 Ways to Score and Prioritize Project Proposals Based on Multiple Factors, Including Strategic Alignment” or “10 Ways to Achieve and Sustain Strategic Alignment” or another title.

• Description: How does your organization assess proposals for new projects? Is there a well-defined scoring and prioritization process—based on alignment with the business’ strategic objectives and other key factors—to quickly and easily identify the objective value of each proposal (including how important it is relative to other initiatives)? If the answer is “no,” keep reading. If the answer is “yes,” you are likely to find practical information and examples in this talk to adapt and adopt to improve the process at your organization.

• Key learning benefits: This talk will help you develop and enhance the contributions you make to your organization by being able to: (1) Understand the benefits of scoring and prioritizing project proposals based on strategic alignment and other key factors. (2) Identify selection and prioritization criteria appropriate for your unique organization, leveraging the flexible framework and some or all of the 10 factors presented during the talk. (3) Put the practical, actionable information presented to use. During the session, we will run an example project proposal through the process, step-by-step. And you will receive a summary "cheat sheet" digital download that you can reference as a guide to help implement or improve this process at your organization.

• Information sheet: https://scottgraffius.com/resources/Scott-M-Graffius---Public-Speaker---Example-Session---10-Ways-Strategic-Alignment---v24012907.pdf.

• Title: Talks or workshops on Agile may be called “Are You Realizing All the Benefits from Agile?” or “Agile Scrum Helps Innovators, Disruptors, and Entrepreneurs Develop and Deliver Products at Astounding Speed Which Drives Competitive Advantage” or another title.

• Description: Organizations are increasingly embracing Agile to best meet their shifting business needs and successfully manage projects. Potential business benefits from Agile include faster delivery and ROI, rapid response to change, higher satisfaction, and continuous improvement. All of which supports innovation and helps drive competitive advantage. Are you realizing all of the benefits? This session will cover the full lifecycle of the most popular Agile approach, Scrum. You will be presented with practical information including top factors from successful implementations—based on the speaker's first-hand experience and 116 sources, including the PMI, IEEE, Google, Agile Alliance, and others—you can use to gain more benefits from Agile.

• Key learning benefits: How you will benefit: (1) Gain a high-level understanding of the Scrum framework-from vision through release. (2) Learn the roles, responsibilities, tools, and techniques unique to Scrum. (3) All of which are inclusive of top factors from successful implementations, which you can put to use to help you get more benefits from Agile.

• Information sheet: https://scottgraffius.com/resources/Scott-M-Graffius---Public-Speaker---Example-Session---Agile-Benefits---v24012907.pdf.

• Title: Talks or workshops on Successful AI Development may be called “What Successful AI Development Teams Have in Common” or “Fueling the Development of Innovative and Life-Changing AI Solutions” or another title.

• Description: Artificial Intelligence has emerged as a transformative force across a growing number of industries, revolutionizing how we live, work, and interact. From improved medical diagnoses to self-driving cars, and more, AI systems have become integral to our daily lives. Behind these cutting-edge, life-changing solutions are AI teams with a combination of skills. This session reveals exactly how the fusion of technical skills and soft skills within AI teams fuels the successful development of innovative and effective solutions. Informed by “In the AI era, soft skills are the new hard skills” (from Artificial Intelligence and Its Impact on Business), “Soft skills are becoming a key focus” (from Computerworld), “Don’t underestimate the power of a team dynamic – your product becomes the result of it” (from Microsoft), and “Competencies like teamwork are crucial” (from MIT), this talk also delivers a deep-dive on essential team development skills based on the science of high-performing teams. Scott’s talk draws from his work with AI development teams as well as research and coverage from the Association for the Advancement of Artificial Intelligence, Google, IBM, IEEE, Microsoft, Software Engineering Institute, and many others. The usable information can provide you, your teams, and your organization with a competitive advantage.

• Key learning benefits: How you will benefit: (1) Understand technical skills and soft skills leveraged by successful AI teams to develop innovative and effective solutions. (2) Understand the essential team development skills based on the science of high-performing teams. (3) Understand specific techniques including how to apply them to advance the happiness, productivity, and success of teams.

• Information sheet: https://scottgraffius.com/resources/Scott-M-Graffius---Public-Speaker---Example-Session---AI---v24012907.pdf.

• Title: Talks or workshops on Successful Video Game Development may be called “The Science of High-Performance Video Game Development Teams” or “Level-Up Your Team: Science-Backed Strategies for High-Performance Video Game Development” or another title.

• Description: Behind every great video game is a team of creative and technical wizards. Creators, storytellers, designers, artists, developers, testers, and others collaborate and leverage a diverse range of hard skills (also known as technical skills) and soft skills (also known as interpersonal skills) to craft an exceptional end-product. Of the many skills, one — a soft skill — is paramount. Activision Blizzard and other premiere developers and publishers of entertainment experiences identify teamwork as critical for the successful development of video games. Informed by Scott’s first-hand work with video game development teams as well as research and coverage from Activision Blizzard, Gameloft, International Game Developers Association, Microsoft, Rockstar Games, Sony Interactive Entertainment, Ubisoft, and others, this talk delivers a deep-dive on the essential teamwork skill based on the science of high- performing teams. The information can provide you, your teams, and your organization with a competitive advantage!

• Key learning benefits: How you will benefit: (1) Understand that a confluence of both hard skills and soft skills (notably, teamwork) are crucial. (2) Learn the five phases of team development and recognize the identifiable characteristics of each phase. (3) Learn how to apply strategies to improve teams' efficacy, happiness, and success.

• Information sheet: https://scottgraffius.com/resources/Scott-M-Graffius---Public-Speaker---Example-Session---Video-Game-Development---v24012907.pdf.

• Twitter,
• Facebook, and
• LinkedIn.

• Implement and use the most popular agile framework―Scrum;
• Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
• Support innovation and drive competitive advantage.

• 🇦🇺 Australia
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Tags: Agile • #Agile • AI • Agile Innovation • AI Innovation • #AI • Artificial Intelligence • Business Innovation • Dubai Events • #AIEvent • Innovate • #ConferenceOrganizer • #BusinessInnovation • #CorporateEvents • #Dubai • Dubai • Future Tech • Speaker • Public Speaking • #Keynote • #Speaker • #PublicSpeaking • #PublicSpeaker • #ProjectManagement • #KeynoteSpeaker • #InnovationSpeaker • #InnovationManagement • #InnovationLeadership • Dubai Speaker • UAE • Public Speaker • Project Management • Keynote Speaker • International Speaker • #Innovation • #Innovate • #FutureTech • #InternationalSpeaker • #DubaiTech • Innovation Leadership • Innovation • Corporate Speaker • Corporate Events • Conference Speaker • Conference Organizer • #DubaiEvents • #CorporateSpeaker • #ConferenceSpeaker • #ArtificialIntelligence • #AIInnovation • Innovation Management • Innovation Speaker • Dubai Tech • AI Event • #UAE • Keynote • Scott M. Graffius • @ScottGraffius • #AgileProjectManagement • #AgileInnovation • Agile Project Management

• Value 1 (🧑‍🤝‍🧑) - Individuals and interactions over processes and tools.
• Value 2 (💻) - Working software over comprehensive documentation.
• Value 3 (🤝) - Customer collaboration over contract negotiation.
• Value 4 (🔄) - Responding to change over following a plan.

• Enhanced Decision-Making: AI excels at processing and analyzing large volumes of project data, providing actionable insights and forecasts that help Agile teams make smarter, faster decisions. This includes identifying potential risks, predicting delivery timelines, and suggesting optimal backlog priorities. (Supports 🔄.)

• Increased Productivity Through Automation: By automating repetitive tasks such as scheduling and status reporting, AI frees team members to focus on complex problem-solving and creative work. This automation speeds up delivery and reduces manual errors and administrative burdens. (Supports 🧑‍🤝‍🧑 and 💻.)

• Optimized Resource Management: AI can assess team capacity, monitor workloads, and recommend real-time adjustments to resource allocation, ensuring that sprints are balanced and no one is overloaded. (Supports 🧑‍🤝‍🧑 and 🔄.)

• Better Risk Management: Leveraging historical data, AI can detect early warning signs of project derailment and suggest mitigation strategies, helping teams stay ahead of potential issues. (Supports 🔄.)

• Improved Team Morale and Collaboration: AI’s conversational interfaces can potentially enhance team morale by facilitating smoother communication. AI-powered chatbots and virtual assistants can augment communication and support collaboration across distributed teams. (Supports 🤝.)

• Amplifying Existing Dysfunctions: If Agile fundamentals are weak—such as skipping retrospectives or treating Agile as a checklist—AI can inadvertently magnify these issues. For example, AI-generated code can introduce technical debt if not properly reviewed, and teams may overload sprints by mistaking increased speed for increased value. (Can undermine 🧑‍🤝‍🧑 and 💻.)

• Over-reliance and Loss of Human Judgment: AI is not a substitute for human expertise. It can struggle with complex decision-making, context-specific nuances, and creative problem-solving. Blindly following AI recommendations may lead to suboptimal outcomes, missed opportunities for innovation, or other problems. (Can undermine 🧑‍🤝‍🧑 and 🔄.)

• Quality and Security Risks: AI-generated outputs, especially code, can introduce unexpected bugs or security vulnerabilities. Without careful oversight and regular retrospectives, these risks can accumulate and threaten project stability. (Can undermine 💻.)

• Data and Cost Constraints: Effective AI integration requires access to high-quality data and can involve significant costs for tools and training. Not all organizations are equipped to meet these demands, particularly smaller teams or those with limited budgets. (Can undermine 🧑‍🤝‍🧑 and 🤝.)

• Value 1 (🧑‍🤝‍🧑) - Individuals and Interactions over Processes and Tools: AI can automate routine tasks and streamline workflows, but the heart of Agile remains the collaboration between people. Teams should use AI to enhance communication and free up time for meaningful interactions, not to replace human connection with automated processes.

• Value 2 (💻) - Working Software over Comprehensive Documentation: AI’s ability to accelerate development and automate testing can help teams deliver working software faster. However, teams must prioritize delivering value over generating outputs or reports. AI should be leveraged to support rapid iteration and feedback, not to create unnecessary complexity.

• Value 3 (🤝) - Customer Collaboration over Contract Negotiation: AI-powered analytics and chatbots can provide new ways to gather and analyze customer feedback. Still, Agile teams must ensure that these tools facilitate genuine collaboration with customers, keeping their needs and voices central to the process.

• Value 4 (🔄) - Responding to Change over Following a Plan: AI can help teams anticipate change by identifying trends and risks earlier, enabling more informed pivots. Yet, teams must remain flexible and avoid rigidly following AI-driven plans at the expense of adapting to new information or opportunities.

• Deeper Integration and Smarter Tools: Over the next one to five years, AI is expected to become an integral part of Agile project management, further enhancing sprint planning, backlog management, and risk analysis. AI-powered assistants will likely become more proactive, offering real-time coaching and adaptive workflow recommendations. (Will impact 🧑‍🤝‍🧑, 💻, and 🔄.)

• Focus on Adaptability and Learning: Agile teams will need to continuously adapt their practices to integrate AI effectively—using retrospectives to assess AI’s impact, refining processes, and ensuring that speed does not come at the expense of quality. (Supports 💻 and 🔄.)

• Human-AI Collaboration: The future of Agile lies in balancing AI’s analytical power with human creativity and judgment. Teams that leverage AI as a “collaborative teammate”—rather than a replacement—will unlock greater productivity, innovation, and job satisfaction. (Supports 🧑‍🤝‍🧑 and 🤝.)

• Beall, Justin L. (2024, March 15). Revolutionizing Agile Ceremonies with OpenAI. Available at: https://dev.to/dev3l/revolutionizing-agile-ceremonies-with-openai-a-game-changer-in-software-development-177p.
• Beck, K., Beedle, M., van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R. C., Mellor, S., Schwaber, K., Sutherland, J., & Thomas, D. (2001). Manifesto for Agile Software Development. Also known as the Agile Manifesto. Available at: https://agilemanifesto.org/.
• Berlin School of Business and Innovation (2022, September 22). How Do Technical Abilities Combined with Leadership Skills Fuel Career Growth? Available at: https://www.berlinsbi.com/blog/career-advice/how-do-technical-abilities-combined-with-leadership-skills-fuel-career-growth.
• Booklife by Publishers Weekly (n.d.). Agile Protocol: The Transformation Ultimatum. Available at: https://booklife.com/project/agile-protocol-the-transformation-ultimatum-100435.
• Defense Advanced Research Projects Agency (DARPA) (2024, September 27). Teaching AI What It Should and Shouldn’t Do. Available at: https://www.darpa.mil/news/2024/teaching-ai.
• Engineering Research Visioning Alliance (n.d.). Strategic Thinking for Engineering Research in the Era of Artificial Intelligence. Available at: https://www.ervacommunity.org/task-force/visioning-event-strategic-thinking-for-engineering-research-in-the-era-of-ai/.
• Graffius, Scott M. (2016). Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions. North Charleston, SC: CreateSpace.
• Graffius, Scott M. (2018, October 18). Agile Scrum Helps Innovators, Disruptors, and Entrepreneurs Develop and Deliver Products at Astounding Speed Which Drives Competitive Advantage [Presentation]. Talk delivered at Techstars Startup Week Conference. DOI: 10.13140/RG.2.2.25009.12647.
• Graffius, Scott M. (2019). Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change. Scotts Valley, CA: CreateSpace.
• Graffius, Scott M. (2020, November 27). Definition of Agile Culture. Available at: https://www.scottgraffius.com/blog/files/agile-culture.html.
• Graffius, Scott M. (2023, May 1). AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success. Available at: https://scottgraffius.com/blog/files/successful-ai-teams.html. DOI: 10.13140/RG.2.2.20321.79200.
• Graffius, Scott M. (2023, October 9). Top 5 Roles on AI Teams. Available at: https://scottgraffius.com/blog/files/ai-team-roles.html. DOI: 10.13140/RG.2.2.34857.57449.
• Graffius, Scott M. (2023). What Successful AI Teams Have in Common [Video]. Graffius’ talk at the 2023 Conf42 Quantum Computer Conference. Available at: https://www.youtube.com/watch?v=u2qRKFbSKYE.
• Graffius, Scott M. (2024, April 5). Cisco Features Scott M. Graffius' 'Phases of Team Development' Work' Available at: https://scottgraffius.com/blog/files/cisco-2024.html. DOI: 10.13140/RG.2.2.16689.60000.
• Graffius, Scott M. (2024, May 3). Leverage Agile and AI to Innovate at the Speed of Light. Talk at private event in Dubai, UAE. DOI: 10.13140/RG.2.2.30790.48960.
• Graffius, Scott M. (2025, January 24). When Agile, AI, and Strategic Thinking Converge. Available at: https://scottgraffius.com/blog/files/when-agile-ai-and-strategic-thinking-converge.html.
• Graffius, Scott M. (2025, January 7). Scott M. Graffius’ Phases of Team Development: 2025 Update. Available at: https://scottgraffius.com/blog/files/phases-of-team-development-update-for-2025.html. DOI: 10.13140/RG.2.2.33705.30564.
• Graffius, Scott M. (2025, May 13). Scott M. Graffius Delivering $2.3 Billion in Value Through AI, Agile, and Project/PMO Leadership. Available at: https://scottgraffius.com/blog/files/scott-m-graffius-delivering-2-point-3-billion-dollars-in-impact-for-organizations.html.
• Graffius, Scott M. (2025). Agile Protocol: The Transformation Ultimatum. Seattle, WA: Amazon Digital Services.
• Hostinger (2025, May 25). Why Software Projects Fail and How to Avoid It. Available at: https://www.hostinger.com/tutorials/why-software-projects-fail.
• Kerzner, Harold (2022). Innovation Project Management: Methods, Case Studies, and Tools for Managing Innovation Projects—Second Edition. Hoboken, New Jersey: Wiley.
• Kilby, Mark (2024, February 2). How AI Will Reshape Agile Development: Takeaways from a Recent Briefing. Agile Alliance. Available at: https://www.agilealliance.org/how-ai-will-reshape-agile-development-takeaways-from-a-recent-briefing/.
• Morsa, Luigi (2022, July 7). Agile. Creativity. Innovation. Available at: https://blog.iil.com/agile-creativity-innovation/.
• Prasad, Baba (2025, May 5). Interpreters, Challengers and Stewards: The Role of Agile Leaders in an AI World. Brown University. Available at: https://professional.brown.edu/news/2025-05-05/agile-leadership-ai-world.
• Tallman, Stephen, and Shenkar, Oded, & Wu, Jay Valerian. (2023). Culture Eats Strategy for Breakfast: Use and Abuse of Culture in International Strategy Research. Strategic Management Review, 4 (2): 193-229.

• It was designed to be out-of-the box, visually striking, and memorable.
• It symbolizes stakes, decision-making, and risk management—all highly relevant to Agile and AI.
• It conveys: "This is a high-stakes game. Play it smart." That resonates strongly with the evolving intersection of AI and Agile.

• About Scott M. Graffius,
• How to Cite This Article,
• and more.

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
• Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
• Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BMC Software,
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
• Johns Hopkins University,
• Journal of Neurosurgery,
• Lam Research (Semiconductors),
• Leadership Worthy,
• Life Sciences Trainers and Educators Network,
• London South Bank University,
• Microsoft,
• NASSCOM,
• National Academy of Sciences,
• New Zealand Government,
• Oracle,
• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• Practice Standard for Work Breakdown Structures—Second Edition.
• A Guide to the Project Management Body of Knowledge—Sixth Edition.
• The Standard for Program Management—Fourth Edition.
• The Practice Standard for Project Estimating—Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).

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How to Cite This Article

Graffius, Scott M. (2025, May 27). AI in Agile: Benefits, Risks, Outlook. Available at: https://scottgraffius.com/blog/files/ai-in-agile-benefits-risks-and-outlook-by-scott-m-graffius.html.





Digital Object Identifier (DOI)

DOI: (coming soon)





Content Acknowledgements

All names, marks, and content are the property of their respective owners.





Top 5 Hashtags

#AI
#ArtificialIntelligence
#Agile
#AIinAgile
#FutureOfAgile





Copyright

Copyright © Scott M. Graffius. All rights reserved.

Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Agile • AI • Artificial Intelligence • AI In Agile • Future of Agile

• Use resources like the “Pants-on-Fire Index for AI” to gain insights on reliability and use the AI tools with the best ratings.
• Verify AI output claims by tracking down cited sources and cross-checking information against trusted references, like peer-reviewed journals or official records.

• Additional Articles,
• About Scott M. Graffius,
• How to Cite This Article,
• and more.

• Agile for Unicorns: 7 Keys to Thrive; Scott M. Graffius’ Workshop
• Meta and Anduril’s EagleEye and the Future of XR: How Gaming, AI, and Agile Are Transforming Defense
• AI in Agile: Benefits, Risks, Outlook
• National Science Foundation’s LTER Network Features Scott M. Graffius’ Phases of Team Development IP
• Scott M. Graffius Delivering $2.3 Billion in Value Through AI, Agile, and Project/PMO Leadership
• NESEA Conference Session on Innovation Highlights Scott M. Graffius' 'Phases of Team Development'
• U.S. Soccer Scores with Scott M. Graffius' Intellectual Property on Teamwork 
• Scott M. Graffius' Role in Advancing Project Management Institute (PMI) Standards Excellence
• When Agile, AI, and Strategic Thinking Converge
• Scott M. Graffius’ Phases of Team Development: 2025 Update
• Scott M. Graffius' 'Phases of Team Development' was Spotlighted in Journal of Neurosurgery
• Hochschule Coburg (Coburg University) Germany Uses Scott M. Graffius’ Phases of Team Development IP in Coursework on Agile Development
• EU Europass Teacher Academy Features Scott M. Graffius’ ‘Phases of Team Development’ in Leadership Training
• Tufts University Features Scott M. Graffius 'Phases of Team Development' Intellectual Property
• Bayer Employs Scott M. Graffius' Intellectual Property
• Semiconductor Manufacturing Firm Lam Research Features Scott M. Graffius' 'Phases of Team Development' Intellectual Property
• Scott M. Graffius Speaking on Agile, AI, and Innovation at a Private Event in Dubai
• Cisco Features Scott M. Graffius' 'Phases of Team Development' Work
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• University of California, San Diego Features Scott M. Graffius’ ‘Phases of Team Development’ Work
• AI is a Team Sport         

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
• Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
• Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BMC Software,
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
• Johns Hopkins University,
• Journal of Neurosurgery,
• Lam Research (Semiconductors),
• Leadership Worthy,
• Life Sciences Trainers and Educators Network,
• London South Bank University,
• Microsoft,
• NASSCOM,
• National Academy of Sciences,
• New Zealand Government,
• Oracle,
• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• Practice Standard for Work Breakdown Structures—Second Edition.
• A Guide to the Project Management Body of Knowledge—Sixth Edition.
• The Standard for Program Management—Fourth Edition.
• The Practice Standard for Project Estimating—Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).

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How to Cite This Article

Graffius, Scott M. (2025, June 25). The “Pants-on-Fire Index for AI”. Available at: https://scottgraffius.com/blog/files/pants-on-fire-index-for-ai.html.





Digital Object Identifier (DOI)

DOI: (coming soon)





Content Acknowledgements

Names, marks, and content are the property of their respective owners.

PMI and PMI Infinity names, marks, and content are the property of the Project Management Institute, Inc.





Top 5 Hashtags

#AI
#ArtificialIntelligence
#AIHallucinations
#AIEthics
#PantsOnFireIndexForAI





Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Update on 8 July 2025

See the related story, AI Showcase Showdown: Ranking AI Accuracy on Project Management Basics.

Update on 22 July 2025

Graffius created and released the supplement, Pants-on Fire Index for AI: How It's Calculated. It's shown below.



The formula for the Pants-on Fire Index for AI (abbreviated as PoF) can also be expressed as:

PoF = 10 × ( Σ (eᵢ × sᵢ) ) ÷ ( n × Sₘₐₓ )

Where:

• n = total number of assertions
• eᵢ = error indicator flag of 0 if assertion i is true, 1 if false
• sᵢ = severity of false claim (1 to Sₘₐₓ, where higher = worse)
• Sₘₐₓ = maximum possible severity (value of 10)

Tags: Artificial Intelligence • AI • AI Hallucinations • Pants-on-Fire Index for AI • AI Ethics

• About OpenAI ChatGPT,
• About Google Gemini,
• About Anthropic Claude,
• About Microsoft Copilot,
• About PMI Infinity,
• About Scott M. Graffius,
• How to Cite This Article,
• and more.

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
• Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
• Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BMC Software,
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
• Johns Hopkins University,
• Journal of Neurosurgery,
• Lam Research (Semiconductors),
• Leadership Worthy,
• Life Sciences Trainers and Educators Network,
• London South Bank University,
• Microsoft,
• NASSCOM,
• National Academy of Sciences,
• New Zealand Government,
• Oracle,
• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• Practice Standard for Work Breakdown Structures—Second Edition.
• A Guide to the Project Management Body of Knowledge—Sixth Edition.
• The Standard for Program Management—Fourth Edition.
• The Practice Standard for Project Estimating—Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).

Sign up for Miro—it's free!

(Want more features? You can always upgrade to a paid plan.)

How to Cite This Article

Graffius, Scott M. (2025, July 8). AI Showcase Showdown: Ranking AI Accuracy on Project Management Basics. Available at: https://scottgraffius.com/blog/files/ai-showcase-showdown-ranking-ai-accuracy-on-project-management-basics.html.





Digital Object Identifier (DOI)

DOI: (coming soon)





Content Acknowledgements

All names, marks, and content are the property of their respective owners.

ChatGPT name, mark, and content are the property of OpenAI, L.L.C.

Google and Google Gemini names, marks, and content are the property of Alphabet Inc.

Anthropic and Anthropic Claude names, marks, and content are the property of Anthropic Public-Benefit Corporation (PBC).

Microsoft and Microsoft Copilot names, marks, and content are the property of Microsoft Corporation.

PMI and PMI Infinity names, marks, and content are the property of the Project Management Institute, Inc.

"Pants-on-Fire Index for AI" is copyright © Scott M. Graffius. All rights reserved.





Top 5 Hashtags

#ArtificialIntelligence
#AI
#ProjectManagement
#ProjectManagers
#PMIInfinity





Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Supplement on 8 July 2025

[Unsolicited feedback received a few hours after the article was published; feedback reproduced with permission, with personal details omitted]

Mr. Graffius,

You seem to take your readers’ feedback seriously, so here’s my review of your AI Showcase Showdown article, prioritising what I found particularly engaging and distinctive.

The piece is compelling. What stood out as original and valuable was your introduction of the Pants-on-Fire Index for AI, which I found to be a witty and memorable device for quantifying a growing concern that, until now, has lacked a straightforward metric. The name keeps it accessible, while still addressing the serious issue of AI misinformation.

What surprised me most was the stark disparity in performance uncovered in the comparative analysis. It’s quite striking that PMI Infinity AI, offered by the very organisation regarded as the worldwide authority on project management, fared so poorly on fundamental concepts, particularly when all four competitors (ChatGPT, Gemini, Claude, and Copilot) managed the same prompt without issue. It creates a fascinating paradox: the AI tool backed by the most authoritative body in the field turns out to be the weakest performer.

Methodologically, for a non-scientific paper, I found your approach thoughtful and robust. Rather than singling out PMI Infinity for criticism, you broadened the scope to include data on other AI platforms under identical conditions. That comparative angle adds important context and avoids the appearance of an unfair or isolated critique.

The article also raises significant questions about institutional credibility and the responsibilities that come with it. When a respected body such as PMI puts its name behind an AI tool, users are naturally inclined to expect a higher standard of reliability, which makes its underperformance all the more concerning.

Your writing strikes a commendable balance between professional rigour and approachability, making complex AI evaluation concepts digestible for practitioners who rely on this information to choose their tools wisely.

It would have been interesting to note whether PMI had liaised with you regarding their Infinity. If they had, it might suggest a receptiveness to constructive input and a pledge to improvement.

Yours sincerely,

Oliver H.

—————

Scott M. Graffius delineated and shared findings on PMI Infinity via:

• Article published on 17 June 2025;
• Feedback provided to PMI via their provide feedback mechanism — this is detailed in the Post-Publication Notes section of the 17 June 2025 article;
• Posts on social media, which included, as noted in the Post-Publication Notes section of the 17 June 2025 article, a post on LinkedIn where Graffius tagged the PMI and the CEO of the PMI;
• Article published on 25 June 2025;
• This 8 July 2025 article.

• n = total number of assertions
• eᵢ = error indicator flag of 0 if assertion i is true, 1 if false
• sᵢ = severity of false claim (1 to Sₘₐₓ, where higher = worse)
• Sₘₐₓ = maximum possible severity (value of 10)

Tags: Artificial Intelligence • AI • PMI Infinity AI • project management • Project Management Professional

• Additional Articles,
• About Scott M. Graffius,
• How to Cite This Article,
• and more.

• Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
• Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
• Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

• Adobe,
• American Management Association,
• Amsterdam Public Health Research Institute,
• Bayer,
• BMC Software,
• Boston University,
• Broadcom,
• Cisco,
• Coburg University of Applied Sciences and Arts - Germany,
• Computer Weekly,
• Constructor University - Germany,
• Data Governance Success,
• Deimos Aerospace,
• DevOps Institute,
• Dropbox,
• EU's European Commission,
• Ford Motor Company,
• Gartner,
• GoDaddy,
• Harvard Medical School,
• Hasso Plattner Institute - Germany,
• IEEE,
• Innovation Project Management,
• Johns Hopkins University,
• Journal of Neurosurgery,
• Lam Research (Semiconductors),
• Leadership Worthy,
• Life Sciences Trainers and Educators Network,
• London South Bank University,
• Microsoft,
• MSN,
• NASSCOM,
• National Academy of Sciences,
• New Zealand Government,
• Oracle,
• Pinterest Inc.,
• Project Management Institute,
• Mary Raum (Professor of National Security Affairs, United States Naval War College),
• SANS Institute,
• SBG Neumark - Germany,
• Singapore Institute of Technology,
• Torrens University - Australia,
• TBS Switzerland,
• Tufts University,
• UC San Diego,
• UK Sports Institute,
• University of Galway - Ireland,
• US Department of Energy,
• US National Park Service,
• US Soccer,
• US Tennis Association,
• Verizon,
• Wrike,
• Yale University,
• and many others.

• Practice Standard for Work Breakdown Structures—Second Edition.
• A Guide to the Project Management Body of Knowledge—Sixth Edition.
• The Standard for Program Management—Fourth Edition.
• The Practice Standard for Project Estimating—Second Edition.

• Certified SAFe 6 Agilist (SA),
• Certified Scrum Professional - ScrumMaster (CSP-SM),
• Certified Scrum Professional - Product Owner (CSP-PO),
• Certified ScrumMaster (CSM),
• Certified Scrum Product Owner (CSPO),
• Project Management Professional (PMP),
• Lean Six Sigma Green Belt (LSSGB), and
• IT Service Management Foundation (ITIL).