Artificial Intelligence

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.

Global Value Chains

The K-shaped economy divides Americans: wealthy households thrive with asset appreciation while lower-income families face structural disadvantages. Top 10% now account for half of all consumer spending.

Global Value Chains

Supply chains face escalating cybersecurity threats across logistics, fraud, and operational technology. Experts urge collaboration, proactive risk mapping, and AI-powered defenses to combat increasingly sophisticated, AI-driven attacks targeting interconnected global systems.

Artificial Intelligence

Artificial Intelligence

Supply chains face increasing disruption from geopolitical, climate, and market forces. Success requires broadening perspective, leveraging intelligence networks, and adopting AI-driven autonomous decision-making to build resilience rather than chasing disruption-proof solutions.

Artificial Intelligence

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.

Random Acts of Kindness Day, celebrated February 17th, began in 1982 and encourages simple, compassionate gestures toward others — proving small actions can meaningfully improve lives and communities worldwide.

Artificial Intelligence

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

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

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

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

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.

Global Value Chains

Recent studies challenge cheese's unhealthy reputation, showing that daily consumption of about 1.5 ounces may reduce heart disease and stroke risk. High-fat cheese is also linked to lower dementia risk.

Artificial Intelligence

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.

Peace and Stability Operations

Artificial Intelligence

Human Rights Day underscores the $236 billion impact of forced labor on global supply chains. AI technology provides unprecedented visibility into tracking exploitation across complex networks, thereby making ethical sourcing increasingly feasible.

Artificial Intelligence

The number of internet-connected devices (IoT) is exploding, creating a vast network of smart devices. Artificial intelligence (AI) is playing an increasingly important role in analyzing the data from these devices, leading to the rise of AIoT. This combination is having a big impact in areas like wearables, smart cities, and smart homes. Processing data at the edge of the network, closer to where it's generated, is becoming increasingly important due to the vast amount of data collected by these devices. This approach reduces latency and improves performance. AI is being used at the edge to filter data and identify important signals. As the number of connected devices continues to grow, so will the importance of AI and edge computing.

Artificial Intelligence

This article explains cognitive computing vs. AI. Cognitive computing helps humans make better decisions by considering complex data. It's useful when dealing with unstructured data and situations with no clear right answer. AI aims to find the most accurate answer and works without human input. Cognitive computing is for complex decision-making, while AI is for well-defined problems.

Artificial Intelligence

Artificial intelligence (AI) is making a big impact on marketing. It analyzes data to understand customers, allowing for targeted marketing, personalization, and better ad placement. This results in increased sales and customer satisfaction. Though complex, marketers don't need to be AI experts to leverage its benefits in marketing tools.

Artificial Intelligence

This article explores how artificial intelligence (AI) is transforming marketing. AI can analyze vast amounts of data to give marketers insights into customer preferences and behavior. This allows marketers to target customers more effectively, personalize experiences, and improve campaign performance. AI is still evolving, but it has the potential to revolutionize marketing.