Book Reviews
Philosophical Aesthetics
Quantum Computing
Global Value Chains
Peace and Stability Operations
Autonomous Intelligent Enterprise
Artificial Intelligence

Artificial Intelligence
The Genesis Mission: Where is It Headed?
Trump's Genesis Mission leverages National Laboratories, supercomputers, and federal datasets to accelerate AI-driven scientific discovery. Twenty-four organizations including Anthropic and OpenAI joined. The initiative aims to compress research timelines while maintaining US leadership against China's growing R&D capabilities.

Artificial Intelligence
Orchestrating the Modern Supply Chain
Supply chains must evolve from digitalization to AI-powered orchestration for proactive decision-making. Enterra Solutions' System of Intelligence enables autonomous optimization across planning, execution, and learning, representing supply chain management's future.

Artificial Intelligence
Is Agentic Commerce the Next Big Thing in Retail?
Agentic commerce—AI agents making purchases for consumers—could generate $1-5 trillion by 2030. Though 95% of consumers harbor concerns, retailers must invest immediately in agentic capabilities or risk disintermediation.

Artificial Intelligence
AI’s Middle Path Deserves More Attention
Extreme AI narratives overshadow practical conversations. AI should be viewed as normal technology. Small Language Models provide focused, efficient solutions for businesses seeking measurable returns on investments, avoiding extreme prophecies.

Artificial Intelligence
Retail Sector Trends in 2026
Retailers must adapt to consumer trends like agentic AI, shoppertainment, and phygital experiences while simultaneously transforming supply chains through regionalization, purposeful technology deployment, and connected global networks to stay competitive.

Artificial Intelligence
Top Technology Trends for 2026
AI dominates 2026 technology trends, from generative models to agentic platforms. Quantum computing nears viability while robotics, digital twins, and bio-innovation reshape enterprise operations and competitive advantage strategies.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Artificial General Intelligence: Destroyer of Worlds?
This article explores the risks of Artificial General Intelligence (AGI), a superintelligence that could potentially destroy humanity. Experts warn of AGI causing accidental harm or intentionally wiping out humans. While some believe AGI is unlikely, others advocate for regulation to control its development. The article concludes that caution is needed, but AI has potential benefits.

Artificial Intelligence
The Future of Process Automation is Intelligent
Data is king in business today. Companies use automation to process data and make decisions. Intelligent automation (IA) is a new kind of automation that uses AI and machine learning to handle complex tasks. IA can improve efficiency, reduce costs, and provide better customer service. While RPA automates repetitive tasks, IA uses AI to make decisions and solve problems. In the future, IA will become even more sophisticated with the use of Autonomous Decision Science. Businesses that adopt IA will be better positioned to compete in today's marketplace.

Artificial Intelligence
Do Chatbots Hallucinate, Make Things Up, or Outright Lie?
This article discusses a new problem with large language models (LLMs) like Bard: AI hallucination, where the LLM generates incorrect but seemingly believable information. Experts say this is dangerous because it can spread misinformation. People can limit AI hallucination by carefully phrasing their prompts, giving the AI relevant data, and instructing it on its role. However, some argue users shouldn't have to fact-check AI outputs, and developers need to find better solutions. Large tech companies say AI needs regulation, but regulation struggles to keep pace with technology.

Artificial Intelligence
Causal Artificial Intelligence and Supply Chain Performance
AI is improving supply chain forecasting by going beyond correlations to identify causal relationships. This allows for better predictions and decisions, reducing stockouts and disruptions. Causal AI uses data science to understand why things happen, not just that they happen together. This is a more powerful approach for complex systems like supply chains.

