Book Reviews
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Global Value Chains
Peace and Stability Operations
Autonomous Intelligent Enterprise
Artificial Intelligence

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.

Artificial Intelligence
The Value of Corporate Reputation
Corporate reputations crumble instantly online, yet most companies lack crisis plans. The new Enterra-Montfort Platform uses AI-powered autonomous intelligence to proactively predict reputational risks and protect enterprise value.
Artificial Intelligence
Closing 2025 with Clarity, Entering 2026 with Conviction
2025 brought geopolitical volatility and AI transformation. Enterra evolved to AI-platform company, focusing on trustworthy systems that deliver value amid fragmented global order. 2026 demands disciplined scaling and technological differentiation.

Artificial Intelligence
Regulating Artificial Intelligence
Trump's Executive Order challenges state AI laws to prevent regulatory patchwork, sparking states' rights debate. Bipartisan pushback emerges as nearly every state has passed AI legislation amid Congressional inaction.

Artificial Intelligence
Creating Resilient CPG Supply Chains
CPG supply chains face seven macro forces requiring AI-driven transformation. Survey shows 94% plan AI adoption for decision support. Speed, resilience, and real-time intelligence become competitive necessities.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Is Reinforcement Learning the Future of Artificial Intelligence?
Article explores reinforcement learning (RL), a powerful AI technique for trial-and-error learning. RL is useful for robotics, self-driving cars, and business applications like product recommendations and supply chain optimization. It's not a silver bullet but holds promise for complex problems.

Artificial Intelligence
Distinguishing AI, Cognitive Computing, and Machine Learning
The article clarifies the difference between AI, machine learning, and cognitive computing. AI is a broad term, machine learning is a subset that learns from data, and cognitive computing imitates human learning styles like an adolescent. Cognitive computing helps businesses make better decisions in complex situations.

Artificial Intelligence
Robotic Process Automation, People, and Artificial Intelligence
The article discusses Robotic Process Automation (RPA) as a tool to automate tasks and increase efficiency. RPA is ideal for repetitive tasks but may not be suitable for complex ones. The pandemic has accelerated RPA adoption as companies look for ways to adapt to a changing workforce. While RPA can replace some jobs, it can also free up employees to focus on more creative work. Cognitive RPA combines RPA with AI for more advanced automation.

Artificial Intelligence
Artificial Intelligence and Military Operations
The article discusses the ethical use of AI in military operations. AI is being integrated into military systems and raises concerns about autonomous weapons. The US needs to address these concerns while maintaining its military edge. International cooperation is also important.

