Category: AI and ML
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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 ROI: How Business Leaders Are Measuring Success
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: Moving Beyond the AI Hype to Measurable Outcomes Business leaders are spending on artificial intelligence, but measuring returns on those investments remains tricky. Research by Ernst & Young found that even where senior leadership is bullish on AI and reporting…
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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…
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AI-Powered Process Redesign: When to Transform vs. Enhance
Our latest Executive Impact Series article is a collaboration with Anush Naghshineh. Introduction: The Mistake of Applying AI to Broken Processes Companies are making a costly error with their AI investments. They’re using AI to automate bad processes before fixing them first. It’s like turbocharging a car with square wheels – you’ll have plenty of…
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The Next Competitive Advantage for Business Leaders
Our latest Executive Impact Series article is a collaboration with Jenny Tsao and Anush Naghshineh. Introduction: What makes agentic AI different from current AI tools Most of today’s AI tools are reactive, they wait for instructions, execute narrowly defined tasks, and return results that still require human interpretation. Agentic AI represents the next leap forward. Rather than waiting…
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Beyond the Digital Twin: AI-Driven Predictive Business Models
Our latest Executive Impact Series article is a collaboration with Jenny Tsao and Anush Naghshineh. The Evolution from Digital Twins to Predictive Models For years, the concept of the “digital twin” has helped companies simulate physical assets. Airplanes, turbines, factories… Used to predict maintenance needs, reduce downtime, and improve performance. But what happens when we stop modeling just…
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Moving AI from an Experiment to Business Impact
This article was co-written with Anush Naghshineh and Jenny Tsao. Introduction: Shifting From AI Experimentation to Meaningful Adoption Companies are facing a new reality with the advent of Generative AI. While 92% of businesses plan to significantly increase AI investments, only 1% currently have fully mature AI deployments. Even more surprising is that around 90%…
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Inside an AI Brain
Anthropic has been doing research for a while now on what happens inside the “mind” of their LLM Claude. They recently released two papers that peel back the curtain a bit on the LLM “thought process”. The folks at Anthropic came up with a way called “circuit tracing” to see how Claude actually thinks. To…