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Artificial Intelligence
National Logistics Day 2025
National Logistics Day, observed on June 28th, celebrates logistics professionals, ensuring that global commerce flows smoothly. The massive U.S. logistics industry employs approximately 9 million people, incurring annual costs of $1.5 trillion, and is increasingly utilizing AI.

Artificial Intelligence
Are Fears About AI Eliminating Jobs Stoking a Modern-day Luddite Movement?
Artificial intelligence is expected to be a net job creator, despite concerns about displacement. Historical precedent shows that technology transforms work by creating new roles while automating routine tasks, although the benefits may be unevenly distributed.

Artificial Intelligence
Personal and Enterprise Resiliency: Going from BANI to REAL
The Cold War's predictable MAD framework has given way to today's BANI world—Brittle, Anxious, Non-linear, Incomprehensible, which is why we need new AI-powered enterprise systems to restore control and resilience.

Artificial Intelligence
How Close is the Singularity?
Experts are divided on when or if AI will surpass human intelligence (the Singularity). Some predict it's near, others doubt it will happen. While AGI could transform industries, major technical and scientific hurdles remain. Caution and optimism both persist.

Artificial Intelligence
Fears Grow as Artificial General Intelligence Nears
In this article I examine whether artificial intelligence poses major existential threats or offers benefits. While experts worry about uncontrollable AGI surpassing humans, others believe AI can partner with humanity to process data and drive productivity responsibly.

Artificial Intelligence
Strategic Foresight and Planning
Strategic planning remains critical for organizational success despite widespread failures. Companies must adopt dynamic, AI-enhanced strategic foresight approaches to anticipate disruptions, explore scenarios, and adapt continuously in an uncertain, volatile business environment.
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Personal Dispatches: Reflections on today’s society through the lens of Fortune Magazine December 1941

Artificial Intelligence
Towards Causal Artificial Intelligence
Good decisions begin with good questions. Three of the most important questions businesses should ask require finding causation before reliable answers can be determined. Those question types are: Associational questions (If I see X, what is the probability that I will see Y?); Interventional questions (If I do X, what is the probability that I will see Y?); and Counterfactual questions (What would Y have been, had I done X?) As a result, causal AI, which looks for causation rather than correlation, is essential for growing businesses.

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.