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YOUR PATH TO ARETE
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Lessons from the 2026 Verizon Outage: Architecting a Business That Never Goes "SOS”
The Verizon outage on January 14, 2026, which resulted in hundreds of thousands of users affected across the U.S., served as a stark reminder that even the most "reliable" networks have single points of failure. In the era of "Internet of Everything," a connectivity gap presents a halt in revenue, safety, and operations. To de-risk your digital footprint, use these 10 critical infrastructure shifts as a blueprint for your next strategic session with your CTO. 1. Shift from R
4 days ago4 min read
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Your Crawl, Walk, Run Roadmap to Algorithmic Advantage
The broad, foundational understanding that AI exists is now a universal truth of modern enterprise. The question now becomes: "How, specifically, do we harness it to create immediate value and secure our long-term competitive edge?" The gap between awareness and execution is where market leadership is won or lost. To navigate this new terrain, we recommend a Crawl, Walk, Run approach. Stage 1: Crawl - Mastering the Browser-Based Prompt The "Crawl" stage is about democratizing
Dec 1, 20255 min read


The Assumption Bias Mitigation Protocol: A Leader's Framework for Verifying AI
Companion article to: "The AI Confidence Trap: When 85% Certainty Is Dangerously Wrong" Your AI will deliver a sophisticated analysis with 85% confidence. You will act on it. And the recommendation may be catastrophically wrong. This happens because AI confidence measures pattern matching , not information completeness . High confidence paired with low context is a recipe for systemic, high-stakes errors. The solution is not to discard these powerful tools, but to impose disc
Oct 22, 20256 min read


The AI Confidence Trap: When 85% Certainty Is Dangerously Wrong
We stand at an inflection point. Large language models and predictive systems now generate sophisticated analyses at a velocity that has created a dangerous asymmetry: the speed of AI-assisted decision-making has dramatically outpaced our frameworks for validating the assumptions underlying those decisions. Research on AI-augmented productivity demonstrates genuine force multiplication. Yet this acceleration introduces a new risk. Leaders who would never bet their company on
Oct 20, 20257 min read


The Unstuck Flywheel: 3 Friction Points That Stall AI Momentum (And How to Break Through)
Many leaders have seen the electric vision for AI: a powerful, self-reinforcing cycle that personalizes customer experiences and streamlines workflows. Yet, this initial excitement often fades within months, replaced by stalled projects and quiet skepticism. The issue is rarely a catastrophic error but a slow death from a thousand small cuts; the vision of a rocket launch meets the frustrating reality of pushing a car through mud. Promising initiatives become stuck not becaus
Oct 13, 20254 min read


The AI Investment Litmus Test: 4 Questions to Ask Before Spending a Dollar
Imagine this: A senior executive recently confessed their biggest fear. It wasn't a market downturn or a new competitor. It was their upcoming board meeting, where they’d inevitably be asked, "So, what is our AI strategy?" Their company had allocated millions for "AI transformation," but the fund sat largely untouched. Why? Because every proposal that crossed their desk felt like a solution in search of a problem—expensive, complex, and disconnected from the P&L. This scenari
Oct 6, 20254 min read


When AI Flattens Strategy, How Will You Compete?
A staggering 78% of organizations now report using AI in at least one business function, propelled by the conviction that it will deliver a decisive competitive edge (McKinsey & Company, 2025; Ransbotham et al, 2020). Yet, this is where the new competitive paradox of the AI era emerges. As AI becomes a ubiquitous, commoditized utility, its power to confer a unique advantage diminishes. When every competitor leverages the same powerful, off-the-shelf models, the inevitable ou
Oct 1, 20255 min read
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