In this episode, I have a conversation with Beth Blankenship, a seasoned expert in quality management and a fervent disciple of W. Edwards Deming. We dive deep into Deming's profound principles and their continued relevance in today's digital transformation landscape.

Beth begins by sharing her journey from an IT background to becoming a passionate advocate for Deming's teachings. Her story includes a moment at a Deming seminar, which sparked her lifelong dedication to quality improvement and management systems. Beth reflects on her experiences working in various sectors, emphasizing the importance of teaching and genuine engagement in quality initiatives.

A significant part of our discussion revolves around Deming's influence on Japanese industry post-WWII and how his principles of systems thinking, variation, and profound knowledge reshaped their manufacturing processes. Beth provides insights into her extensive research, including the historical context of Deming's ideas and their foundational roots in the work of Walter Shewhart and other early 20th-century scientists.

Beth also critiques modern methodologies like Six Sigma, highlighting how they often miss the holistic, systems-oriented approach Deming championed. She underscores the necessity of focusing on customer needs and continuous innovation, rather than merely eliminating defects.

Our conversation concludes with Beth's reflections on the enduring impact of Deming's work and her current efforts to disseminate his teachings through papers, podcasts, and an upcoming YouTube channel. She passionately advocates for the preservation and application of Deming's principles, aiming to educate a new generation of quality management professionals.

You can find Beth Blankenship's LinkedIn below:
https://www.linkedin.com/in/beth-blankenship-deming-scholar-5351432/

In this episode, I sit down with Dr. Jabe Bloom, an expert in design studies and organizational theory. Recently completing his PhD at Carnegie Mellon, Dr. Bloom brings a fresh perspective on the intersection of temporality, complexity, and design, particularly in the context of digital transformation in IT and other industries.

We dive into the nuances of temporality versus time, exploring how these concepts influence design decisions. Dr. Bloom elaborates on how temporality is a qualitative measure of change and its impact on human experience and project planning. This foundational concept sets the stage for understanding "timeful" design, which embraces the dynamic nature of contexts and proposes continual re-evaluation and adaptation.

Dr. Bloom challenges the traditional notion of design as a finite process, suggesting instead that it is an ongoing interaction with the environment. This perspective aligns with DevOps principles, where software development and operations are seen as continuous and evolving processes. He highlights the importance of context and proposition in design, where solutions must be constantly re-assessed to remain relevant as contexts change.

One of the key takeaways from this episode is the idea of "bounded rationality". Dr. Bloom explains how this concept, which acknowledges the limitations of human decision-making capabilities, applies to modern digital systems. He also delves into the concept of "recombining," which involves ongoing negotiation and collaboration across organizational boundaries to address complex problems that cannot be solved by isolated teams.

Dr. Bloom's insights into the temporal nature of objects and systems offer a profound shift in how we perceive design and operational challenges. By viewing software and other technological artifacts as temporal objects, he advocates for a more fluid and adaptive approach to design and implementation, one that continually responds to changing contexts and user needs.

You can Dr. Jabe Bloom on LinkedIn below:
https://www.linkedin.com/in/jabebloom/

In this episode of the Profound Podcast, I'm joined by John Dues, Chief Learning Officer at United Schools Network in Ohio and an innovative educator who has ingeniously applied W. Edwards Deming's theories to the educational sector. John shares his journey of discovery into Deming's methodologies and how these have profoundly influenced his approach to improving educational systems.

Our discussion delves into John's initial skepticism and eventual embrace of Deming's System of Profound Knowledge, which consists of understanding systems, variation, psychology, and knowledge theory. John explains his experiences in applying these principles within his school network, particularly how they've been used to enhance operational efficiency and educational outcomes amidst the challenges posed by remote learning during the pandemic.

The conversation also touches on John's approach to leadership and learning, emphasizing the necessity of continuous improvement and systems thinking in educational administration. He highlights the importance of aligning educational strategies with Deming’s philosophies to foster environments that nurture rather than stifle, promoting an organizational culture where insights into systemic improvements are encouraged and valued.

John's innovative application of Deming's theories offers a template for transformative leadership in education, demonstrating the relevance of these age-old concepts in addressing modern challenges within the sector.

You can find John Dues' LinkedIn Below:
https://www.linkedin.com/in/johnadues/

In this episode of the Profound Podcast, I have the pleasure of speaking with Ariane David, PhD, an insightful thinker and academic who delves into the principles of non-positional thinking and its profound impact on personal and organizational learning. We explore how W. Edwards Deming's theories on quality and continuous improvement intersect with modern challenges in digital transformation, particularly within IT, healthcare, and manufacturing sectors.

Dr. David's introduces the four principles of non-positional thinking, beginning with the 'uncertainty principle,' which emphasizes intellectual humility and the acceptance that our perceptions and conclusions might be flawed. This acknowledgment opens the door to 'curiosity,' the second principle, fostering a desire to explore and understand rather than to confirm biases. The discussion progresses to the 'principle of discernment,' where information is analyzed critically to separate useful insights from noise. Lastly, Ariane discusses 'courage,' which is essential for challenging our own assumptions and committing to a path of genuine understanding and improvement .

Throughout the conversation, Dr. David highlights the dangers of 'adaptive learning' in organizations—learning driven by fear and survival instincts—which often prevents genuine insight and improvement. She contrasts this with 'generative learning,' which encourages a blame-free environment where mistakes are seen as opportunities for growth and learning, thereby fostering a culture that supports continuous improvement and aligns closely with Deming's philosophy.


You can find Dr. Ariane David's LinkedIn below:
https://www.linkedin.com/in/arianedavid/

In the second episode of my two-part discussion with Bill Bellows, we explore the nuanced realms of quality management, variation, and integration, drawing from the rich legacy of W. Edwards Deming and Genichi Taguchi, and their profound impact on industries ranging from automotive to aerospace.

Bill Bellows shares enlightening perspectives on the historical collaboration between Ford and Mazda, illuminating the stark differences in their approaches to quality and production. He discusses the importance of minding the gap, not just in terms of parts but in the broader context of integration and systems thinking. This episode delves into the philosophical underpinnings of quality management, touching upon the concepts of red pen and blue pen companies, and the significance of aiming for systemic improvements rather than mere compliance with specifications.

The conversation extends beyond the specifics of automotive engineering, drawing parallels with software development, healthcare systems, and manufacturing processes. Bellows emphasizes the critical role of managing variation not just at the part level but as an integral part of a coherent system. This approach, he argues, is key to achieving superior quality, functionality, and customer satisfaction.

You can find Bill Bellows LinkedIn here:
https://www.linkedin.com/in/bill-bellows-218435/

In the first part of a two-part series with Bill Bellows, we delve deep into the essence of system thinking and its pivotal role in shaping organizations. Bellows leads us on a journey exploring the nuanced differences between 'Red Pen' and 'Blue Pen' organizations, and beyond, into the realms of 'Me' versus 'We' and the collective impact of every straw on the camel's back.

Bellows opens the discussion with his famous 'Red Pen Blue Pen' exercise, a metaphorical exploration that distinguishes two types of organizations based on quality and system thinking. He illustrates how small details, like the ease of cap removal on pens, can symbolize the deeper operational philosophies and outcomes of organizations. This exercise not only serves as a tool for introspection but also highlights the broader implications of systemic thinking in operational excellence.

Expanding further, Bellows introduces the concepts of 'Me' versus 'We' and the allegory of the last straw, pushing us to contemplate the collective responsibility versus individual blame within organizational contexts. Through these discussions, he underscores the importance of a systemic perspective that fosters collaboration, continuous improvement, and a shared understanding of goals and challenges.

You can find Bill Bellows on LinkedIn here:
https://www.linkedin.com/in/bill-bellows-218435/

In this episode of the Profound Podcast, I had the pleasure of engaging with Dave Nave, a multifaceted expert with a rich background in engineering, quality improvement, and business management consulting. Through his work and studies, Nave has delved deep into W. Edwards Deming's philosophies, applying these principles across various sectors with notable emphasis on manufacturing.

Our conversation explored Nave's initial skepticism towards quality improvement methodologies and his transformative encounter with Deming's teachings. Nave vividly described his early career experiences, where he challenged the concepts of process variability and predictability, only to find empirical evidence that humbled his perspective. This journey led him to embrace Deming's methodologies, seeking further education and eventually contributing to quality improvement initiatives in the defense industry and beyond.

Nave's experiences with the Deming Scholars MBA program at Fordham University stood out as a pivotal moment in his career. Immersed in Deming's teachings, he gained insights from esteemed professors and applied these lessons to real-world challenges. His anecdotes about the practical applications of Deming's principles, especially in the context of manufacturing assembly lines and quality control, were particularly enlightening.

The conversation also touched upon the challenges and nuances of implementing quality improvement methodologies within organizations. Nave shared stories from his consulting work, highlighting the importance of systemic thinking and the pitfalls of siloed approaches to process improvement.

Dave Nave's LinkedIn can be found below:
https://www.linkedin.com/in/davenave/

In this episode of Profound, I talk with Dr. Khai Minh Pham, whose unique approach to artificial intelligence challenges conventional paradigms and opens new frontiers in AI research and application. Dr. Pham, with his extensive background in both medicine and artificial intelligence, shares his journey towards creating a distinctive AI framework that prioritizes knowledge over data, steering clear of the traditional data-centric methodologies that dominate the field.

Dr. Pham recounts his early realization of the limitations inherent in human cognitive processes and how this propelled him to explore AI as a means to augment human memory and decision-making capabilities.

Central to this episode is Dr. Pham's critique of the prevailing AI models that rely heavily on data processing and pattern recognition. He introduces his concept of "macro connectionist AI," a system that mimics human reasoning more closely by forming high-level knowledge representations rather than merely processing data inputs. This approach, according to Dr. Pham, not only enhances AI's problem-solving capabilities but also significantly reduces the computational resources required, challenging the current industry trend towards increasingly complex and energy-intensive AI systems.

you can find Dr. Pham's LinkedIn below:
https://www.linkedin.com/in/khai-minh-pham/