Applied Mathematics
Human Machine Connection
Book Reviews
Philosophical Aesthetics
Quantum Computing
Global Value Chains
Global Complexity and Polycrisis²
Autonomous Intelligent Enterprise
Artificial Intelligence

Artificial Intelligence
National Ag Day 2026
America's agricultural history spans 250 years, transforming from 95% manual labor to less than 2% of the population farming today, driven by technology and innovation that continues to evolve with AI.

Artificial Intelligence
The Global Value Chain Just Got a New Operating System. Most Companies Haven’t Installed It Yet.
Global tariff volatility creates "structural rewiring" of value chains. Traditional planning fails when rules change every 18 days. Winners deploy autonomous decision systems that re-optimize sourcing, pricing, and logistics within hours.

Artificial Intelligence
Humanoids in the Supply Chain
Humanoid robots face significant barriers before widespread supply chain adoption: technological limitations, integration complexity, high costs, and energy constraints. Market projected to reach $66 billion by 2032 despite current inefficiencies.

Artificial Intelligence
The Frameworks Are Breaking — And So Are the Systems Built on Top of Them
Three converging events reveal a single crisis: our strategic frameworks for managing complexity are failing just as AI systems become too opaque to govern. A five-part essay series exploring solutions launches next week.

Artificial Intelligence
From RAGs to Riches
RAG enhances large language models by connecting them to external, up-to-date data sources, improving accuracy, reducing hallucinations, and enabling cost-effective, domain-specific AI applications without requiring expensive model retraining.
.jpg)
Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Experts Ponder the Future of AI and Machine Learning
AI is expected to transform many industries like healthcare and transportation. Machine learning is a more accurate term than AI. Experts predict increased use of machine learning to optimize businesses and improve human-machine interaction. AI will likely become more ethical and integrated with the Internet of Things.

Artificial Intelligence
Will Artificial General Intelligence Lead to Humanities’ Doom?
Experts agree AI will significantly impact various industries. Machine learning, a more precise term than AI, is expected to be heavily used to optimize businesses and improve human-machine interaction. AI is also likely to become more ethical and integrated with the Internet of Things.

Artificial Intelligence
Driving Business Value with Machine Learning
This article discusses how machine learning can improve businesses. Machine learning is a powerful tool, but it's important to ask questions before implementing it, like if you have the right data. Common uses include fraud detection, recommendations, and improving efficiency. Companies that don't implement machine learning risk falling behind competitors.

Artificial Intelligence
Cognitive Computing in the Digital Era
This article explores the term "cognitive computing" and its applications in business. The author argues that while the definition is debated, technology can help businesses make decisions with complex data. Cognitive computing is well-suited for ambiguous situations where there's no single right answer. Businesses are increasingly using cognitive computing in the Digital Era to make better use of vast amounts of data.


