In the ever-evolving landscape of technology, few companies have managed to redefine their industry and set the pace for innovation as dramatically as NVIDIA. In light of NVIDIA's 2024 GTC AI Conference and the announcement of the Blackwell GPU, which NVIDIA is dubbing the "world's most powerful chip", I want to continue our series we have been doing around supply chain by looking at how the company transformed itself into becoming one of the leading forces in artificial intelligence.

Today, I'd like to pivot from our regular conversations on technology to address an issue of paramount importance that we, as a community, tend to overlook: burnout. This matter hits close to home for me, having seen its devastating effects firsthand. The loss of vibrant, talented individuals to burnout has left an indelible mark on me and many others within our circle. Despite significant research and discussion, the tech realm, including our DevOps sphere, continues grappling with burnout's fallout.

Throughout my career, I've encountered a myriad of management systems, each promising to be the key to organizational success. Yet, it's through these experiences that I've developed a way of looking at things critically. My philosophy has evolved not from a place of mere preference but from a foundation built on practical application, effectiveness, and a profound respect for the theories of Dr. Edwards Deming on management systems. Using this framework, I want to contrast Objectives and Key Results (OKRs) with Service Level Objectives (SLOs).

The Supply Chain Masterminds Behind Amazon and Apple.

Throughout the past year, "Profound" has interviewed thought leaders, experts, and practitioners to explore the intersection between Deming's wisdom and the possibilities within digital transformation. These guests shared their experiences and helped align Deming's ideas with the ever-evolving landscape of technology, exemplifying the convergence of theory and real-world application to illuminate the path toward organizational success. Join us for this past year's recap as we revisit the highlights, profound moments, and transformative insights unfolding throughout the episodes.

The landscape of Artificial Intelligence (AI) has been profoundly influenced by the concept of attention, a cornerstone of human cognitive processes. This fascinating interplay between cognitive science and AI development provides a unique lens to view the evolution of AI technologies, revealing how they have come to mimic some of the most sophisticated functions of the human brain.

About a third of that memo was devoted to a simple hand-drawn diagram we now recognize as a control chart. That one-page memo altered the course of industry on May 16, 1924. Shewhart's superiors at Bell Laboratories, namely George D. Edwards, received this memo. In this memorandum, Shewhart introduces the first control chart to track process performance over time and identify parameter changes that may indicate quality deterioration.

Few regions on earth match the formidable peaks of the Himalayas. Now imagine flying overloaded cargo planes through those mountains in unpredictable weather, your only path a narrow air corridor plagued by extreme turbulence, ice, and winding valleys. Along a narrow skyway about 50 miles wide that could extend 1,000 miles in length, Hump planes flew over scenes that would have been familiar to Ghengis Khan.

Bridgeman also made significant contributions to the philosophy of science through his methodological and philosophical writings, emphasizing the operational aspects of scientific concepts. Bridgmman is considered the father of Operationalism.

A tutorial on Control Charts by Dennis Sergent