For two years, the AI industry has treated prompt engineering as a skill, a discipline, even a job title. LinkedIn profiles declare “Senior …
Read MoreSomewhere in your organization right now, someone is preparing a slide that claims your AI initiative has delivered ten million dollars in value. The …
Read MoreEleven days. That is the time from kickoff to production deployment for a document processing system that handles 50,000 documents per month, …
Read MoreChaos engineering has a simple thesis: inject controlled failures into a system to discover weaknesses before they become incidents. Netflix …
Read MoreEvery eCommerce platform has product recommendations. They have had them since Amazon proved collaborative filtering worked in the early 2000s. If …
Read MoreNo single AI model is best at everything. This is not a temporary limitation that the next model release will fix. It is a structural reality of how …
Read MoreWhen organizations talk about “adopting AI,” they almost always mean one thing: adding a model to a workflow. Maybe it is a chatbot. Maybe …
Read MoreOpen any job board right now. Search for “AI Engineer.” You will find thousands of listings. Search for “ML Engineer.” …
Read MoreWhen people hear “computer vision,” they think of self-driving cars, facial recognition, and autonomous robots. These are the headline …
Read MoreThe most common misconception about agentic development is that it means letting AI agents build software unsupervised. This is wrong, and the …
Read MoreEvery executive team has an AI strategy now. Or at least, they have a slide deck with “AI Strategy” in the title. It features a quadrant …
Read MoreThe GPU infrastructure conversation in AI is dominated by the hyperscalers. Training frontier models. Building 100,000 GPU clusters. Spending billions …
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