Jean Johnson Discusses 'Show Your Work', Failing Fast, and knowing when to Stop before you Start

The conversation delves into the challenges of maintaining enthusiasm for AI projects, the impact of digital transformation, the importance of data quality, the implications of synthetic data, forecasting with AI, team composition for AI projects, the PMBA combo, and knowing when to quit an AI project. The conversation delves into the role of IT leaders as advisors to the C-suite, the importance of presenting ideas and status in context, and the challenges of evaluating AI project presentations. It also explores the impact of AI on staffing, institutional knowledge, and the pressure to control head count with AI. Additionally, it discusses the importance of redundancy and the people side of efficiency, as well as the future of conversations on AI and business projects.TakeawaysMaintaining enthusiasm for AI projects is a challenge due to the length of projects and the impact of digital transformation.Data quality is crucial for AI projects, and understanding synthetic data and knowing when to quit an AI project are important considerations. IT leaders should articulate requests and status in terms of data and contextEvaluating AI project presentations requires a focus on the real meat of the projectThe pressure to control head count with AI requires careful consideration of the long-term impact on staffing and institutional knowledgeChapters00:00 The Enthusiasm Challenge01:46 The Length of Projects and Enthusiasm03:37 The Impact of Digital Transformation07:29 Data Quality and AI10:01 Synthetic Data and Its Implications13:40 Forecasting and AI17:04 Team Composition for AI Projects21:20 The PMBA Combo and Its Importance26:38 Knowing When to Quit an AI Project29:23 Becoming an Advisor to the C-Suite30:48 Presenting Ideas and Status in Context32:11 Articulating the Request and Status33:07 Elevating the Conversation from IT as a Utility34:45 Evaluating AI Project Presentations36:27 Challenges of AI Project ROI40:22 The Impact of AI on Staffing and Institutional Knowledge43:02 Total Cost of Ownership and People Side of Efficiency50:21 Pressure to Control Head Count with AI52:43 The Importance of Redundancy and People Side of Efficiency56:00 The Future of Conversations on AI and Business Projects