Blog Archives

The AI team take a deep dive into a booklet by Niels Malotaux which introduces Tom Gilb’s Evolutionary Project Management (Evo), a method emphasizing proactive risk mitigation through iterative Plan-Do-Check-Act cycles. Evo integrates project, requirements, and risk management into result management, focusing on achieving customer satisfaction and success. The approach uses short cycles (TaskCycle, DeliveryCycle) to quickly identify and address problems, along with techniques like Active Synchronization and Planguage for requirements specification. Malotaux’s extensive project … Continue reading →

The AI team take a deep dive into a webinar promoting Dr. Joseph Kasser’s project management expertise. He identifies the top three obstacles faced by young project managers (imposter syndrome, communication issues, and time management difficulties). Kasser offers actionable strategies and tools to overcome these challenges, drawing from his extensive experience and research. The webinar promises a free consultation to help attendees develop personalized plans for reducing stress and improving work-life balance. Ultimately, the presentation aims to equip project managers … Continue reading →

The AI team take a deep dive into a paper which proposes a holistic approach to optimizing complex systems by focusing on optimizing interactions between subsystems during the design phase, rather than optimizing individual subsystems afterward. Using a male-female sexual relationship as an initial case study, the author argues that this method yields superior results. The approach is then illustrated through diverse examples, including weapons systems, the Apollo program, and educational settings. The core concept centers on a two-subsystem model … Continue reading →

The AI team take a deep dive into a research paper which explores the design and implementation of a “balanced classroom” approach to systems engineering education. The author, drawing on years of teaching experience and systems engineering principles, argues that traditional lecture-based methods are ineffective and proposes a system that integrates various pedagogical techniques, including flipped classrooms and authentic learning activities. The research investigates the effectiveness of different teaching methods and delivery modes (synchronous/asynchronous), analyzing … Continue reading →

The AI team take a deep dive into Tom Gilb’s presentation to the BCS in July 2024 on AI quality which advocates for a multidimensional approach to evaluating AI systems, moving beyond vague descriptions. He argues that current AI models are defective due to inherent instability and a lack of transparency. Gilb proposes using quantifiable metrics for qualities like transparency and security, incorporating a stakeholder model for a more comprehensive understanding. The presentation emphasizes the need for measurable standards to assess AI systems effectively, contrasting Large … Continue reading →