The AI team take a deep dive into books, successful innovative tools, practical and conceptual applications of systems thinking and beyond and systems engineering to various types of problems, summarizing the concepts behind the successes and usually drawing general conclusions for how the concepts may be used in other situations. The opinions expressed by the AI team in each deep dive are their own and have not been edited in any way.
While systems thinking provides an understanding of the problematic situation, you need to go beyond systems thinking to create solutions, especially innovative solutions.
Join my LinkedIn group (Tackling complex problems) and discuss the content of the podcasts (https://www.linkedin.com/groups/13991392/)
The Physical Reality of Running AI: Systems Thinking & AI Strategy Beyond the Hype
The AI team takes a deep dive into AI strategist and former Intel executive Rajeev Nanda, and cuts through the AI hype cycle to look at the entire ecosystem without using technical language. The deep dive covers:
The Energy Paradox: AI training runs don't act like steady Netflix streams; they pull sudden gigawatts of power, straining the legacy electric grid.
The ROI Trap: Bragging about an "87% co-pilot adoption rate" is like measuring how often you open the fridge. Logins aren't business value!
Vibe Coding Multipliers: Prompt-based coding speeds up your best engineers by 10x, and also speeds up your worst ones 10x.
The Wire-Hanger Test: Are you using AI to re-imagine whole process architectures, or just hanging clothes on a metal wire?
The AI team also discusses why the classic "build vs. buy" SaaS debate is obsolete, how legacy software like Intel’s WIINGS outlives replacement plans, and why lateral thinking, illustrated by Intel’s wire-hanger test, is essential for true AI transformation.
Finally, they reflect on how personal human experiences, like keeping two clocks on an immigrant's phone or leaving things unfinished, ground the soul of technology leadership.
For more information about Rajeev Nanda and how his website explains how he helps leaders navigate the AI revolution, click on the following link https://rnanda.com/.
30 Sept 2026
From Zero Defects to Zero Requirements and Zero Lectures
The AI team takes a deep dive into Dr. Joseph E. Kasser’s (updated) presentation at the BCS SQM XXXIII 2026 International Quality Conference on 25 September 2026. The presentation outlines how artificial intelligence can transform both systems engineering and postgraduate education through a shared philosophy of preventive problem-solving. By employing interactive AI dialogues, professionals can uncover true customer requirements and minimize the need for lengthy, ambiguous textual specifications that often cause project failures. Similarly, the zero lectures model replaces traditional instructor-led teaching by empowering students to independently explore topics with AI, challenge assumptions, and exercise higher-order cognitive skills like creation and evaluation. Ultimately, these parallel approaches argue that leveraging AI-driven collaboration helps eliminate foundational defects at the earliest stages of both product development and academic learning.
The full presentation may be viewed at https://youtu.be/szX-9jZw5yo
10 Sept 2026
Book Review: Building Ontologies with Basic Formal Ontology
The AI Team take a deep drive into a book that introduces applied ontology as a vital technical discipline designed to manage and integrate the massive amounts of data generated in modern biomedical science. The authors argue that information systems often suffer from interoperability issues caused by inconsistent terminology, technological silos, and logical errors known as imprecise thinking. To resolve these challenges, the book advocates for the use of Basic Formal Ontology (BFO), a top-level framework that provides a common set of categories for organizing scientific knowledge. By utilizing philosophical principles and structured logic, BFO helps developers create precise, computer-readable definitions that ensure data remains shareable and reusable across different research communities. Ultimately, the work serves as a guide for building robust information repositories that can support complex scientific reasoning and cross-disciplinary collaboration.
Podcast Authority Score: 47 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
94
Social presence
0
YouTube
0
Engagement
0
Contact Systems Thinking and Beyond
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Systems Thinking and Beyond?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
