Applied Mathematics
Human Machine Connection
Book Reviews
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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.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Cognitive Computing and Advanced Analytics
Cognitive computing, a term aiming to support human decision-making, is evolving into cognitive analytics, leveraging AI to analyze massive data for better business outcomes. Cognitive analytics is seen as the future of data science.

Artificial Intelligence
Real-World Impacts of Artificial Intelligence
The article discusses the debate around AI and its impact on business. While some fear AI, others believe it can improve decision-making and generate profit. Machine learning, a type of AI, is already used in various applications, such as product recommendations. AI requires big data to function, and companies must leverage AI to make sense of the data they collect. However, alongside the benefits, there are concerns about the cultural impact of AI and the potential spread of misinformation.

Artificial Intelligence
Innovation in the Digital Age
The article discusses the importance of innovation in the Digital Age. While established companies struggle to innovate, new technologies like AI can help. AI can speed up discovery and help companies develop new products and services. But innovation requires more than just technology; corporate culture also plays a big role.



