Tag: #AI
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Why Your AI Chatbot Keeps Changing Its Answers
You may have noticed that sometimes, when you give your AI bot a prompt you have used before, the answer it returns is different. This is one of the primary issues that most LLMs are prone to. At their core, these models are non-deterministic. The answers returned are derived from what it calculated was the…
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How Predictive Maintenance Is Quietly Revolutionizing Logistics
This article is co-authored by Brett Sandman. Introduction The logistics industry is undergoing a sea change, as companies transition from traditional “fix it when it breaks” approaches to a more proactive approach. Maersk serves as a great example. Their predictive maintenance program has reduced their vessel downtime by 30% and saved them more than $300…
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Moving Beyond the Hype: Join the Growing Number of Companies Achieving Agentic Reality
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: AI Adoption, but Low Business Impact According to McKinsey’s latest research, nearly eight out of ten companies have rolled out generative AI in some form, but roughly that same percentage report absolutely no meaningful impact on their bottom line. Research…
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Good news? I’m hoping..
One of the most significant downsides to using generative AI is the fact that LLMs sometimes present hallucinations in their output. You’ve probably run into them many times. Essentially, they are incorrect answers that sound correct and confident. The answers are sometimes supported by either fabricated information or accurate information that is misused. Earlier this…
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When AI Code Generators Fail: The Hidden Pitfalls Behind the Hype
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction The numbers tell a compelling story: 84% of developers now use or plan to use AI coding tools, up from 76% in 2024, according to Stack Overflow’s 2025 survey of over 49,000 developers. Yet beneath this surge in adoption lies…
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AI Revolution or Evolution? The Real Story Behind Supply Chain’s $24 Billion AI Investment
This article is the second installment in an ongoing Chain Reaction series by Phill Giancarlo and Brett Sandman, focused on exploring the intersection of artificial intelligence, supply chain strategy, and operational transformation. If you missed our first piece, “The Great Unraveling: How 2025 Tariffs Are Forcing US Companies to Rethink Everything”, we encourage you to…
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AI Governance in 2025: Moving Beyond Risk to Strategic Value
This Executive Impact Series article is a collaboration with Anush Naghshineh, and David Turner. The Evolving Nature of AI Governance Artificial intelligence has transformed from an experimental technology into a core business asset, demanding a fundamental reimagining of AI governance that extends far beyond traditional compliance and risk mitigation. As organizations worldwide deploy AI as…