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Cloud, Edge or Hybrid? Start With Failure Conditions, Not Technology Preference.
A product team is designing a connected system. One engineer wants everything in the cloud because it simplifies centralized management. Another argues for edge computing…
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Your IoT Dashboard May Be Hiding the Real Deployment Problem.
A dashboard can tell you what an IoT system has successfully reported. It is much less reliable at telling you everything that failed before the…
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Seven Questions I Ask Before Approving an IoT Pilot.
IoT pilots often begin with a reasonable question: Can we make this work? The problem is that a successful demonstration does not necessarily answer the…
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The IoT Architecture Is Only Half the Product.
Your IoT Product Is More Than Its Architecture Most IoT architecture diagrams end at the point where the product becomes interesting. They show sensors, a…
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Why Your AI Vendor Cannot Define the Business Case for You.
Why Your AI Vendor Cannot Define theBusiness Case for You An AI vendor can demonstrate a model, show a dashboard, estimate implementation effort, and explain…
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Build,Buy or Integrate? The Decision Most AI Projects Avoid.
A leadership team exploring AI can spend weeks comparing models, demonstrations, vendors, and pricing without answering the architectural question underneath all of them: What should…
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The AI Readiness Question Nobody Asks: Who Own the Exceptions?
Most AI readiness reviews focus on whether the organization has enough data, a suitable model, integration access, and an approved budget. Those questions matter, but…
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From AI Interest to an Investment Decision: A Practical Founder’s Framework
AI interest often begins with a demonstration. A founder sees software summarize a contract, answer questions from company documents, generate a sales proposal, or complete…
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Four Signs Your AI Project Is Actually a Process-Design Problem
An AI project can appear technically difficult when the real difficulty sits somewhere else. A team may blame model accuracy, prompt quality, integration effort, or…
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How I Would Evaluate a AI Opportunity in 60 Minutes.
This one-hour method is for leaders, founders, and operations teams that need to decide whether an AI idea deserves further investment. Most AI opportunities arrive…